def test_permute_wires_5(self): """This is the same case as permute_wires_4 except the single qubit gate is after the two-qubit gate, so the layout is adjusted. qr0:--(+)------ | qr1:---|------- | qr2:---|------- | qr3:---.--[H]-- Coupling map: [0]--[1]--[2]--[3] qr0:-x----------- | qr1:-x--(+)------ | qr2:-x---.--[H]-- | qr3:-x----------- """ coupling = CouplingMap([[0, 1], [1, 2], [2, 3]]) qr = QuantumRegister(4, 'q') circuit = QuantumCircuit(qr) circuit.cx(qr[3], qr[0]) circuit.h(qr[3]) dag = circuit_to_dag(circuit) pass_ = StochasticSwap(coupling, 20, 13) after = pass_.run(dag) expected = QuantumCircuit(qr) expected.swap(qr[0], qr[1]) expected.swap(qr[2], qr[3]) expected.cx(qr[2], qr[1]) expected.h(qr[2]) self.assertEqual(circuit_to_dag(expected), after)
def test_permute_wires_4(self): """No qubit label permutation occurs if the first layer has only single-qubit gates. This is suboptimal but seems to be the current behavior. qr0:------(+)-- | qr1:-------|--- | qr2:-------|--- | qr3:--[H]--.--- Coupling map: [0]--[1]--[2]--[3] qr0:------X--------- | qr1:------X-(+)----- | qr2:------X--.------ | qr3:-[H]--X--------- """ coupling = CouplingMap([[0, 1], [1, 2], [2, 3]]) qr = QuantumRegister(4, 'q') circuit = QuantumCircuit(qr) circuit.h(qr[3]) circuit.cx(qr[3], qr[0]) dag = circuit_to_dag(circuit) pass_ = StochasticSwap(coupling, 20, 13) after = pass_.run(dag) expected = QuantumCircuit(qr) expected.h(qr[3]) expected.swap(qr[2], qr[3]) expected.swap(qr[0], qr[1]) expected.cx(qr[2], qr[1]) self.assertEqual(circuit_to_dag(expected), after)
def test_map_with_layout(self): """Test using an initial layout.""" coupling = CouplingMap([[0, 1], [1, 2]]) qra = QuantumRegister(2, 'qa') qrb = QuantumRegister(1, 'qb') cr = ClassicalRegister(3, 'r') circ = QuantumCircuit(qra, qrb, cr) circ.cx(qra[0], qrb[0]) circ.measure(qra[0], cr[0]) circ.measure(qra[1], cr[1]) circ.measure(qrb[0], cr[2]) dag = circuit_to_dag(circ) layout = Layout({ (QuantumRegister(2, 'qa'), 0): 0, (QuantumRegister(2, 'qa'), 1): 1, (QuantumRegister(1, 'qb'), 0): 2 }) pass_ = StochasticSwap(coupling, layout, 20, 13) after = pass_.run(dag) self.assertEqual(dag, after)
def test_permute_wires_3(self): """ qr0:--(+)---.-- | | qr1:---|----|-- | | qr2:---|----|-- | | qr3:---.---(+)- Coupling map: [0]--[1]--[2]--[3] """ coupling = CouplingMap([[0, 1], [1, 2], [2, 3]]) qr = QuantumRegister(4, 'q') circuit = QuantumCircuit(qr) circuit.cx(qr[0], qr[3]) circuit.cx(qr[3], qr[0]) dag = circuit_to_dag(circuit) pass_ = StochasticSwap(coupling, None, 20, 13) after = pass_.run(dag) self.assertEqual(dag, after)
def test_trivial_case(self): """ q0:--(+)-[H]-(+)- | | q1:---.-------|-- | q2:-----------.-- Coupling map: [1]--[0]--[2] """ coupling = CouplingMap(couplinglist=[[0, 1], [0, 2]]) qr = QuantumRegister(3, 'q') circuit = QuantumCircuit(qr) circuit.cx(qr[0], qr[1]) circuit.h(qr[0]) circuit.cx(qr[0], qr[2]) dag = circuit_to_dag(circuit) pass_ = StochasticSwap(coupling, None, 20, 13) after = pass_.run(dag) self.assertEqual(dag, after)
def test_only_output_cx_and_swaps_in_coupling_map(self): """Test that output DAG contains only 2q gates from the the coupling map.""" coupling = CouplingMap([[0, 1], [1, 2], [2, 3]]) qr = QuantumRegister(4, 'q') cr = ClassicalRegister(4, 'c') circuit = QuantumCircuit(qr, cr) circuit.h(qr[0]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[0], qr[2]) circuit.cx(qr[0], qr[3]) circuit.measure(qr, cr) dag = circuit_to_dag(circuit) pass_ = StochasticSwap(coupling, 20, 5) after = pass_.run(dag) valid_couplings = [ set([qr[a], qr[b]]) for (a, b) in coupling.get_edges() ] for _2q_gate in after.twoQ_gates(): self.assertIn(set(_2q_gate.qargs), valid_couplings)
def test_permute_wires_1(self): """All of the test_permute_wires tests are derived from the basic mapper tests. In this case, the stochastic mapper handles a single layer by qubit label permutations so as not to introduce additional swap gates. The new initial layout is found in pass_.initial_layout. q0:------- q1:--(+)-- | q2:---.--- Coupling map: [1]--[0]--[2] """ coupling = CouplingMap([[0, 1], [0, 2]]) qr = QuantumRegister(3, 'q') circuit = QuantumCircuit(qr) circuit.cx(qr[1], qr[2]) dag = circuit_to_dag(circuit) pass_ = StochasticSwap(coupling, None, 20, 13) after = pass_.run(dag) self.assertEqual(dag, after)
def test_trivial_in_same_layer(self): """ q0:--(+)-- | q1:---.--- q2:--(+)-- | q3:---.--- Coupling map: [0]--[1]--[2]--[3] """ coupling = CouplingMap(couplinglist=[[0, 1], [1, 2], [2, 3]]) qr = QuantumRegister(4, 'q') circuit = QuantumCircuit(qr) circuit.cx(qr[2], qr[3]) circuit.cx(qr[0], qr[1]) dag = circuit_to_dag(circuit) pass_ = StochasticSwap(coupling, None, 20, 13) after = pass_.run(dag) self.assertEqual(dag, after)
def test_multiple_registers_with_good_layout(self): """ Test two registers + measurements using a layout. The layout makes all gates nearest neighbor. """ coupling = CouplingMap([[0, 1], [1, 2]]) qr_q = QuantumRegister(2, 'q') qr_a = QuantumRegister(1, 'a') cr_c = ClassicalRegister(3, 'c') circ = QuantumCircuit(qr_q, qr_a, cr_c) circ.cx(qr_q[0], qr_a[0]) circ.cx(qr_q[1], qr_a[0]) circ.measure(qr_q[0], cr_c[0]) circ.measure(qr_q[1], cr_c[1]) circ.measure(qr_a[0], cr_c[2]) dag = circuit_to_dag(circ) layout = Layout({qr_q[0]: 0, qr_a[0]: 1, qr_q[1]: 2}) pass_ = StochasticSwap(coupling, layout, 20, 13) after = pass_.run(dag) self.assertEqual(dag, after)
def test_single_gates_omitted(self): """Test if single qubit gates are omitted.""" coupling_map = [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]] # q_0: ──■────────────────── # │ # q_1: ──┼─────────■──────── # │ ┌─┴─┐ # q_2: ──┼───────┤ X ├────── # │ ┌────┴───┴─────┐ # q_3: ──┼──┤ U(1,1.5,0.7) ├ # ┌─┴─┐└──────────────┘ # q_4: ┤ X ├──────────────── # └───┘ qr = QuantumRegister(5, "q") cr = ClassicalRegister(5, "c") circuit = QuantumCircuit(qr, cr) circuit.cx(qr[0], qr[4]) circuit.cx(qr[1], qr[2]) circuit.u(1, 1.5, 0.7, qr[3]) # q_0: ─────────────────X────── # │ # q_1: ───────■─────────X───■── # ┌─┴─┐ │ # q_2: ─────┤ X ├───────────┼── # ┌────┴───┴─────┐ ┌─┴─┐ # q_3: ┤ U(1,1.5,0.7) ├─X─┤ X ├ # └──────────────┘ │ └───┘ # q_4: ─────────────────X────── expected = QuantumCircuit(qr, cr) expected.cx(qr[1], qr[2]) expected.u(1, 1.5, 0.7, qr[3]) expected.swap(qr[0], qr[1]) expected.swap(qr[3], qr[4]) expected.cx(qr[1], qr[3]) expected_dag = circuit_to_dag(expected) stochastic = StochasticSwap(CouplingMap(coupling_map), seed=0) after = PassManager(stochastic).run(circuit) after = circuit_to_dag(after) self.assertEqual(expected_dag, after)
def run(self, quantum_circuit): dag_circuit = circuit_to_dag(quantum_circuit) init_time = time.time() self.parameters["TIME_START"] = init_time initial_mapping = [] if self.parameters["initial_map"] == K7MInitialMapping.RANDOM: # Only the first positions which correspond to the circuit qubits initial_mapping = numpy.random.permutation( self.parameters["nisq_qubits"]) initial_mapping = initial_mapping[:dag_circuit.num_qubits()] elif self.parameters["initial_map"] == K7MInitialMapping.LINEAR: initial_mapping = list(range(dag_circuit.num_qubits())) elif self.parameters["initial_map"] == K7MInitialMapping.HEURISTIC: initial_mapping = cuthill_order(dag_circuit, self.coupling_obj, self.parameters) init_time = time.time() - init_time if initial_mapping is None: return None, init_time, None # print(initial_mapping) # # return quantum_circuit print(" .......") original_pm = PassManager() optimal_layout = Layout() for c_idx, p_idx in enumerate(initial_mapping): optimal_layout.add(quantum_circuit.qregs[0][c_idx], p_idx) original_pm.append([ SetLayout(optimal_layout), ApplyLayout(), StochasticSwap(self.coupling_obj.coupling, seed=0), Decompose(gate=qiskit.extensions.SwapGate) ]) return original_pm.run(quantum_circuit), init_time, initial_mapping
def pick_label(circ, backend, coupling_map, optimization_level, show=False): ''' Funzione che restituisce il dizionario con il mapping, scegliendo come label layout quello che minimizza la depth del circuito tra dense layout e noise_adaptive sommata alla depth delle operazioni dopo il routing. In questa maniera tengo anche conto di qual'è il layout che permette di minimizzare le operazioni di swap ''' new_circ_lv3 = transpile(circ, backend=backend, optimization_level=optimization_level) new_circ_lv3_na = transpile(circ, backend=backend, optimization_level=optimization_level, layout_method='noise_adaptive') #plot_circuit_layout(new_circ_lv3_na, backend).show() #plot_circuit_layout(new_circ_lv3, backend).show() cp = CouplingMap(couplinglist=coupling_map) depths = [] for qc in [new_circ_lv3_na, new_circ_lv3]: depth = qc.depth() pass_manager = PassManager(LookaheadSwap(coupling_map=cp)) lc_qc = pass_manager.run(qc) pass_manager = PassManager(StochasticSwap(coupling_map=cp)) st_qc = pass_manager.run(qc) depths.append(depth + lc_qc.depth()) depths.append(depth + st_qc.depth()) #print('depth=', depth, ' depth + routing_lc_qc= ', depth + lc_qc.depth(), ' depth + routing_st_qc=',depth + st_qc.depth()) if depths.index(min(depths)) < 2: print('na') if show == True: plot_circuit_layout(new_circ_lv3_na, backend).show() return new_circ_lv3_na._layout.get_physical_bits() if depths.index(min(depths)) >= 2: print('not na') if show == True: plot_circuit_layout(new_circ_lv3, backend).show() return new_circ_lv3._layout.get_physical_bits()
def test_single_gates_omitted(self): """Test if single qubit gates are omitted.""" coupling_map = [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]] qr = QuantumRegister(5, 'q') cr = ClassicalRegister(5, 'c') circuit = QuantumCircuit(qr, cr) circuit.cx(qr[0], qr[4]) circuit.cx(qr[1], qr[2]) circuit.u3(1, 1.5, 0.7, qr[3]) expected = QuantumCircuit(qr, cr) expected.cx(qr[1], qr[2]) expected.u3(1, 1.5, 0.7, qr[3]) expected.swap(qr[0], qr[1]) expected.swap(qr[3], qr[4]) expected.cx(qr[1], qr[3]) expected_dag = circuit_to_dag(expected) stochastic = StochasticSwap(CouplingMap(coupling_map), seed=0) after = PassManager(stochastic).run(circuit) after = circuit_to_dag(after) self.assertEqual(expected_dag, after)
def level_0_pass_manager( pass_manager_config: PassManagerConfig) -> PassManager: """Level 0 pass manager: no explicit optimization other than mapping to backend. This pass manager applies the user-given initial layout. If none is given, a trivial layout consisting of mapping the i-th virtual qubit to the i-th physical qubit is used. Any unused physical qubit is allocated as ancilla space. The pass manager then unrolls the circuit to the desired basis, and transforms the circuit to match the coupling map. Note: In simulators where ``coupling_map=None``, only the unrolling and optimization stages are done. Args: pass_manager_config: configuration of the pass manager. Returns: a level 0 pass manager. Raises: TranspilerError: if the passmanager config is invalid. """ basis_gates = pass_manager_config.basis_gates coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout layout_method = pass_manager_config.layout_method or 'trivial' routing_method = pass_manager_config.routing_method or 'stochastic' translation_method = pass_manager_config.translation_method or 'translator' scheduling_method = pass_manager_config.scheduling_method instruction_durations = pass_manager_config.instruction_durations seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties # 1. Choose an initial layout if not set by user (default: trivial layout) _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): return not property_set['layout'] if layout_method == 'trivial': _choose_layout = TrivialLayout(coupling_map) elif layout_method == 'dense': _choose_layout = DenseLayout(coupling_map, backend_properties) elif layout_method == 'noise_adaptive': _choose_layout = NoiseAdaptiveLayout(backend_properties) elif layout_method == 'sabre': _choose_layout = SabreLayout(coupling_map, max_iterations=1, seed=seed_transpiler) else: raise TranspilerError("Invalid layout method %s." % layout_method) # 2. Extend dag/layout with ancillas using the full coupling map _embed = [ FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout() ] # 3. Decompose so only 1-qubit and 2-qubit gates remain _unroll3q = Unroll3qOrMore() # 4. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [BarrierBeforeFinalMeasurements()] if routing_method == 'basic': _swap += [BasicSwap(coupling_map)] elif routing_method == 'stochastic': _swap += [ StochasticSwap(coupling_map, trials=20, seed=seed_transpiler) ] elif routing_method == 'lookahead': _swap += [LookaheadSwap(coupling_map, search_depth=2, search_width=2)] elif routing_method == 'sabre': _swap += [ SabreSwap(coupling_map, heuristic='basic', seed=seed_transpiler) ] else: raise TranspilerError("Invalid routing method %s." % routing_method) # 5. Unroll to the basis if translation_method == 'unroller': _unroll = [Unroller(basis_gates)] elif translation_method == 'translator': from qiskit.circuit.equivalence_library import SessionEquivalenceLibrary as sel _unroll = [ UnrollCustomDefinitions(sel, basis_gates), BasisTranslator(sel, basis_gates) ] elif translation_method == 'synthesis': _unroll = [ Unroll3qOrMore(), Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates), UnitarySynthesis(basis_gates), ] else: raise TranspilerError("Invalid translation method %s." % translation_method) # 6. Fix any bad CX directions _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # 7. Schedule the circuit only when scheduling_method is supplied if scheduling_method: _scheduling = [TimeUnitAnalysis(instruction_durations)] if scheduling_method in {'alap', 'as_late_as_possible'}: _scheduling += [ALAPSchedule(instruction_durations)] elif scheduling_method in {'asap', 'as_soon_as_possible'}: _scheduling += [ASAPSchedule(instruction_durations)] else: raise TranspilerError("Invalid scheduling method %s." % scheduling_method) # Build pass manager pm0 = PassManager() if coupling_map: pm0.append(_given_layout) pm0.append(_choose_layout, condition=_choose_layout_condition) pm0.append(_embed) pm0.append(_unroll3q) pm0.append(_swap_check) pm0.append(_swap, condition=_swap_condition) pm0.append(_unroll) if coupling_map and not coupling_map.is_symmetric: pm0.append(_direction_check) pm0.append(_direction, condition=_direction_condition) if scheduling_method: pm0.append(_scheduling) return pm0
def level_3_pass_manager( pass_manager_config: PassManagerConfig) -> StagedPassManager: """Level 3 pass manager: heavy optimization by noise adaptive qubit mapping and gate cancellation using commutativity rules and unitary synthesis. This pass manager applies the user-given initial layout. If none is given, a search for a perfect layout (i.e. one that satisfies all 2-qubit interactions) is conducted. If no such layout is found, and device calibration information is available, the circuit is mapped to the qubits with best readouts and to CX gates with highest fidelity. The pass manager then transforms the circuit to match the coupling constraints. It is then unrolled to the basis, and any flipped cx directions are fixed. Finally, optimizations in the form of commutative gate cancellation, resynthesis of two-qubit unitary blocks, and redundant reset removal are performed. Args: pass_manager_config: configuration of the pass manager. Returns: a level 3 pass manager. Raises: TranspilerError: if the passmanager config is invalid. """ basis_gates = pass_manager_config.basis_gates inst_map = pass_manager_config.inst_map coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout layout_method = pass_manager_config.layout_method or "sabre" routing_method = pass_manager_config.routing_method or "sabre" translation_method = pass_manager_config.translation_method or "translator" scheduling_method = pass_manager_config.scheduling_method instruction_durations = pass_manager_config.instruction_durations seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties approximation_degree = pass_manager_config.approximation_degree unitary_synthesis_method = pass_manager_config.unitary_synthesis_method timing_constraints = pass_manager_config.timing_constraints or TimingConstraints( ) unitary_synthesis_plugin_config = pass_manager_config.unitary_synthesis_plugin_config target = pass_manager_config.target # Layout on good qubits if calibration info available, otherwise on dense links _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): # layout hasn't been set yet return not property_set["layout"] def _vf2_match_not_found(property_set): # If a layout hasn't been set by the time we run vf2 layout we need to # run layout if property_set["layout"] is None: return True # if VF2 layout stopped for any reason other than solution found we need # to run layout since VF2 didn't converge. if (property_set["VF2Layout_stop_reason"] is not None and property_set["VF2Layout_stop_reason"] is not VF2LayoutStopReason.SOLUTION_FOUND): return True return False # 2a. If layout method is not set, first try VF2Layout _choose_layout_0 = ([] if pass_manager_config.layout_method else VF2Layout( coupling_map, seed=seed_transpiler, call_limit=int(3e7), # Set call limit to ~60 sec with retworkx 0.10.2 properties=backend_properties, target=target, )) # 2b. if VF2 didn't converge on a solution use layout_method (dense). if layout_method == "trivial": _choose_layout_1 = TrivialLayout(coupling_map) elif layout_method == "dense": _choose_layout_1 = DenseLayout(coupling_map, backend_properties, target=target) elif layout_method == "noise_adaptive": _choose_layout_1 = NoiseAdaptiveLayout(backend_properties) elif layout_method == "sabre": _choose_layout_1 = SabreLayout(coupling_map, max_iterations=4, seed=seed_transpiler) else: raise TranspilerError("Invalid layout method %s." % layout_method) toqm_pass = False if routing_method == "basic": routing_pass = BasicSwap(coupling_map) elif routing_method == "stochastic": routing_pass = StochasticSwap(coupling_map, trials=200, seed=seed_transpiler) elif routing_method == "lookahead": routing_pass = LookaheadSwap(coupling_map, search_depth=5, search_width=6) elif routing_method == "sabre": routing_pass = SabreSwap(coupling_map, heuristic="decay", seed=seed_transpiler) elif routing_method == "toqm": HAS_TOQM.require_now("TOQM-based routing") from qiskit_toqm import ToqmSwap, ToqmStrategyO3, latencies_from_target if initial_layout: raise TranspilerError( "Initial layouts are not supported with TOQM-based routing.") toqm_pass = True # Note: BarrierBeforeFinalMeasurements is skipped intentionally since ToqmSwap # does not yet support barriers. routing_pass = ToqmSwap( coupling_map, strategy=ToqmStrategyO3( latencies_from_target(coupling_map, instruction_durations, basis_gates, backend_properties, target)), ) elif routing_method == "none": routing_pass = Error( msg= "No routing method selected, but circuit is not routed to device. " "CheckMap Error: {check_map_msg}", action="raise", ) else: raise TranspilerError("Invalid routing method %s." % routing_method) # 8. Optimize iteratively until no more change in depth. Removes useless gates # after reset and before measure, commutes gates and optimizes contiguous blocks. _depth_check = [Depth(), FixedPoint("depth")] _size_check = [Size(), FixedPoint("size")] def _opt_control(property_set): return (not property_set["depth_fixed_point"]) or ( not property_set["size_fixed_point"]) _opt = [ Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates, target=target), UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, coupling_map=coupling_map, backend_props=backend_properties, method=unitary_synthesis_method, plugin_config=unitary_synthesis_plugin_config, target=target, ), Optimize1qGatesDecomposition(basis_gates), CommutativeCancellation(), ] # Build pass manager init = common.generate_unroll_3q( target, basis_gates, approximation_degree, unitary_synthesis_method, unitary_synthesis_plugin_config, ) init.append(RemoveResetInZeroState()) init.append(OptimizeSwapBeforeMeasure()) init.append(RemoveDiagonalGatesBeforeMeasure()) if coupling_map or initial_layout: layout = PassManager() layout.append(_given_layout) layout.append(_choose_layout_0, condition=_choose_layout_condition) layout.append(_choose_layout_1, condition=_vf2_match_not_found) layout += common.generate_embed_passmanager(coupling_map) vf2_call_limit = None if pass_manager_config.layout_method is None and pass_manager_config.initial_layout is None: vf2_call_limit = int( 3e7) # Set call limit to ~60 sec with retworkx 0.10.2 routing = common.generate_routing_passmanager( routing_pass, target, coupling_map=coupling_map, vf2_call_limit=vf2_call_limit, backend_properties=backend_properties, seed_transpiler=seed_transpiler, use_barrier_before_measurement=not toqm_pass, ) else: layout = None routing = None translation = common.generate_translation_passmanager( target, basis_gates, translation_method, approximation_degree, coupling_map, backend_properties, unitary_synthesis_method, unitary_synthesis_plugin_config, ) pre_routing = None if toqm_pass: pre_routing = translation optimization = PassManager() unroll = [pass_ for x in translation.passes() for pass_ in x["passes"]] optimization.append(_depth_check + _size_check) if (coupling_map and not coupling_map.is_symmetric) or ( target is not None and target.get_non_global_operation_names(strict_direction=True)): pre_optimization = common.generate_pre_op_passmanager( target, coupling_map, True) _direction = [ pass_ for x in common.generate_pre_op_passmanager( target, coupling_map).passes() for pass_ in x["passes"] ] # For transpiling to a target we need to run GateDirection in the # optimization loop to correct for incorrect directions that might be # inserted by UnitarySynthesis which is direction aware but only via # the coupling map which with a target doesn't give a full picture if target is not None: optimization.append(_opt + unroll + _depth_check + _size_check + _direction, do_while=_opt_control) else: optimization.append(_opt + unroll + _depth_check + _size_check, do_while=_opt_control) else: pre_optimization = common.generate_pre_op_passmanager( remove_reset_in_zero=True) optimization.append(_opt + unroll + _depth_check + _size_check, do_while=_opt_control) opt_loop = _depth_check + _opt + unroll optimization.append(opt_loop, do_while=_opt_control) sched = common.generate_scheduling(instruction_durations, scheduling_method, timing_constraints, inst_map) return StagedPassManager( init=init, layout=layout, pre_routing=pre_routing, routing=routing, translation=translation, pre_optimization=pre_optimization, optimization=optimization, scheduling=sched, )
def level_2_pass_manager(pass_manager_config: PassManagerConfig) -> PassManager: """Level 2 pass manager: medium optimization by initial layout selection and gate cancellation using commutativity rules. This pass manager applies the user-given initial layout. If none is given, a search for a perfect layout (i.e. one that satisfies all 2-qubit interactions) is conducted. If no such layout is found, qubits are laid out on the most densely connected subset which also exhibits the best gate fidelitites. The pass manager then transforms the circuit to match the coupling constraints. It is then unrolled to the basis, and any flipped cx directions are fixed. Finally, optimizations in the form of commutative gate cancellation and redundant reset removal are performed. Note: In simulators where ``coupling_map=None``, only the unrolling and optimization stages are done. Args: pass_manager_config: configuration of the pass manager. Returns: a level 2 pass manager. Raises: TranspilerError: if the passmanager config is invalid. """ basis_gates = pass_manager_config.basis_gates coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout layout_method = pass_manager_config.layout_method or 'dense' routing_method = pass_manager_config.routing_method or 'stochastic' translation_method = pass_manager_config.translation_method or 'translator' scheduling_method = pass_manager_config.scheduling_method instruction_durations = pass_manager_config.instruction_durations seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties # 1. Search for a perfect layout, or choose a dense layout, if no layout given _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): return not property_set['layout'] _choose_layout_1 = CSPLayout(coupling_map, call_limit=1000, time_limit=10) if layout_method == 'trivial': _choose_layout_2 = TrivialLayout(coupling_map) elif layout_method == 'dense': _choose_layout_2 = DenseLayout(coupling_map, backend_properties) elif layout_method == 'noise_adaptive': _choose_layout_2 = NoiseAdaptiveLayout(backend_properties) elif layout_method == 'sabre': _choose_layout_2 = SabreLayout(coupling_map, max_iterations=2, seed=seed_transpiler) else: raise TranspilerError("Invalid layout method %s." % layout_method) # 2. Extend dag/layout with ancillas using the full coupling map _embed = [FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout()] # 3. Unroll to 1q or 2q gates _unroll3q = Unroll3qOrMore() # 4. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [BarrierBeforeFinalMeasurements()] if routing_method == 'basic': _swap += [BasicSwap(coupling_map)] elif routing_method == 'stochastic': _swap += [StochasticSwap(coupling_map, trials=20, seed=seed_transpiler)] elif routing_method == 'lookahead': _swap += [LookaheadSwap(coupling_map, search_depth=5, search_width=5)] elif routing_method == 'sabre': _swap += [SabreSwap(coupling_map, heuristic='decay', seed=seed_transpiler)] else: raise TranspilerError("Invalid routing method %s." % routing_method) # 5. Unroll to the basis if translation_method == 'unroller': _unroll = [Unroller(basis_gates)] elif translation_method == 'translator': from qiskit.circuit.equivalence_library import SessionEquivalenceLibrary as sel _unroll = [UnrollCustomDefinitions(sel, basis_gates), BasisTranslator(sel, basis_gates)] elif translation_method == 'synthesis': _unroll = [ Unroll3qOrMore(), Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates), UnitarySynthesis(basis_gates), ] else: raise TranspilerError("Invalid translation method %s." % translation_method) # 6. Fix any bad CX directions _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # 7. Remove zero-state reset _reset = RemoveResetInZeroState() # 8. 1q rotation merge and commutative cancellation iteratively until no more change in depth _depth_check = [Depth(), FixedPoint('depth')] def _opt_control(property_set): return not property_set['depth_fixed_point'] _opt = [Optimize1qGates(basis_gates), CommutativeCancellation()] # 9. Schedule the circuit only when scheduling_method is supplied if scheduling_method: _scheduling = [TimeUnitAnalysis(instruction_durations)] if scheduling_method in {'alap', 'as_late_as_possible'}: _scheduling += [ALAPSchedule(instruction_durations)] elif scheduling_method in {'asap', 'as_soon_as_possible'}: _scheduling += [ASAPSchedule(instruction_durations)] else: raise TranspilerError("Invalid scheduling method %s." % scheduling_method) # Build pass manager pm2 = PassManager() if coupling_map: pm2.append(_given_layout) pm2.append(_choose_layout_1, condition=_choose_layout_condition) pm2.append(_choose_layout_2, condition=_choose_layout_condition) pm2.append(_embed) pm2.append(_unroll3q) pm2.append(_swap_check) pm2.append(_swap, condition=_swap_condition) pm2.append(_unroll) if coupling_map and not coupling_map.is_symmetric: pm2.append(_direction_check) pm2.append(_direction, condition=_direction_condition) pm2.append(_reset) pm2.append(_depth_check + _opt, do_while=_opt_control) if scheduling_method: pm2.append(_scheduling) return pm2
def level_3_pass_manager(pass_manager_config: PassManagerConfig) -> PassManager: """Level 3 pass manager: heavy optimization by noise adaptive qubit mapping and gate cancellation using commutativity rules and unitary synthesis. This pass manager applies the user-given initial layout. If none is given, a search for a perfect layout (i.e. one that satisfies all 2-qubit interactions) is conducted. If no such layout is found, and device calibration information is available, the circuit is mapped to the qubits with best readouts and to CX gates with highest fidelity. The pass manager then transforms the circuit to match the coupling constraints. It is then unrolled to the basis, and any flipped cx directions are fixed. Finally, optimizations in the form of commutative gate cancellation, resynthesis of two-qubit unitary blocks, and redundant reset removal are performed. Note: In simulators where ``coupling_map=None``, only the unrolling and optimization stages are done. Args: pass_manager_config: configuration of the pass manager. Returns: a level 3 pass manager. """ basis_gates = pass_manager_config.basis_gates coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties # 1. Unroll to the basis first, to prepare for noise-adaptive layout _unroll = Unroller(basis_gates) # 2. Layout on good qubits if calibration info available, otherwise on dense links _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): return not property_set['layout'] _choose_layout_1 = CSPLayout(coupling_map, call_limit=10000, time_limit=60) # TODO: benchmark DenseLayout vs. NoiseAdaptiveLayout in terms of noise aware mapping _choose_layout_2 = DenseLayout(coupling_map, backend_properties) # 3. Extend dag/layout with ancillas using the full coupling map _embed = [FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout()] # 4. Unroll to 1q or 2q gates, swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [BarrierBeforeFinalMeasurements(), Unroll3qOrMore(), StochasticSwap(coupling_map, trials=20, seed=seed_transpiler)] # 5. 1q rotation merge and commutative cancellation iteratively until no more change in depth _depth_check = [Depth(), FixedPoint('depth')] def _opt_control(property_set): return not property_set['depth_fixed_point'] _opt = [RemoveResetInZeroState(), Collect2qBlocks(), ConsolidateBlocks(), Unroller(basis_gates), # unroll unitaries Optimize1qGates(), CommutativeCancellation(), OptimizeSwapBeforeMeasure(), RemoveDiagonalGatesBeforeMeasure()] # 6. Fix any CX direction mismatch _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # Build pass manager pm3 = PassManager() pm3.append(_unroll) if coupling_map: pm3.append(_given_layout) pm3.append(_choose_layout_1, condition=_choose_layout_condition) pm3.append(_choose_layout_2, condition=_choose_layout_condition) pm3.append(_embed) pm3.append(_swap_check) pm3.append(_swap, condition=_swap_condition) pm3.append(_depth_check + _opt, do_while=_opt_control) if coupling_map and not coupling_map.is_symmetric: pm3.append(_direction_check) pm3.append(_direction, condition=_direction_condition) return pm3
def test_congestion(self): """Test code path that falls back to serial layers.""" coupling = CouplingMap([[0, 1], [1, 2], [1, 3]]) qr = QuantumRegister(4, 'q') cr = ClassicalRegister(4, 'c') circ = QuantumCircuit(qr, cr) circ.cx(qr[1], qr[2]) circ.cx(qr[0], qr[3]) circ.measure(qr[0], cr[0]) circ.h(qr) circ.cx(qr[0], qr[1]) circ.cx(qr[2], qr[3]) circ.measure(qr[0], cr[0]) circ.measure(qr[1], cr[1]) circ.measure(qr[2], cr[2]) circ.measure(qr[3], cr[3]) dag = circuit_to_dag(circ) # ┌─┐┌───┐ ┌─┐ # q_0: |0>─────────────────■──────────────────┤M├┤ H ├──■─────┤M├ # ┌───┐ │ └╥┘└───┘┌─┴─┐┌─┐└╥┘ # q_1: |0>──■───────┤ H ├──┼───────────────────╫──────┤ X ├┤M├─╫─ # ┌─┴─┐┌───┐└───┘ │ ┌─┐ ║ └───┘└╥┘ ║ # q_2: |0>┤ X ├┤ H ├───────┼─────────■─────┤M├─╫────────────╫──╫─ # └───┘└───┘ ┌─┴─┐┌───┐┌─┴─┐┌─┐└╥┘ ║ ║ ║ # q_3: |0>───────────────┤ X ├┤ H ├┤ X ├┤M├─╫──╫────────────╫──╫─ # └───┘└───┘└───┘└╥┘ ║ ║ ║ ║ # c_0: 0 ═══════════════════════════════╬══╬══╩════════════╬══╩═ # ║ ║ ║ # c_1: 0 ═══════════════════════════════╬══╬═══════════════╩════ # ║ ║ # c_2: 0 ═══════════════════════════════╬══╩════════════════════ # ║ # c_3: 0 ═══════════════════════════════╩═══════════════════════ # # ┌───┐ ┌───┐ ┌─┐ # q_0: |0>───────X──┤ H ├──────────────────────┤ X ├───┤M├ # │ └───┘┌─┐ ┌───┐ └─┬─┘┌─┐└╥┘ # q_1: |0>──■────X────■──┤M├──────X─┤ X ├─X──────■──┤M├─╫─ # ┌─┴─┐┌───┐ │ └╥┘ │ └─┬─┘ │ ┌─┐ └╥┘ ║ # q_2: |0>┤ X ├┤ H ├──┼───╫───────┼───■───┼─┤M├──────╫──╫─ # └───┘└───┘┌─┴─┐ ║ ┌───┐ │ ┌───┐ │ └╥┘ ┌─┐ ║ ║ # q_3: |0>──────────┤ X ├─╫─┤ H ├─X─┤ H ├─X──╫──┤M├──╫──╫─ # └───┘ ║ └───┘ └───┘ ║ └╥┘ ║ ║ # c_0: 0 ════════════════╩══════════════════╬═══╬═══╩══╬═ # ║ ║ ║ # c_1: 0 ═══════════════════════════════════╬═══╬══════╩═ # ║ ║ # c_2: 0 ═══════════════════════════════════╩═══╬════════ # ║ # c_3: 0 ═══════════════════════════════════════╩════════ # # 2 # | # 0 - 1 - 3 expected = QuantumCircuit(qr, cr) expected.cx(qr[1], qr[2]) expected.h(qr[2]) expected.swap(qr[0], qr[1]) expected.h(qr[0]) expected.cx(qr[1], qr[3]) expected.measure(qr[1], cr[0]) expected.h(qr[3]) expected.swap(qr[1], qr[3]) expected.cx(qr[2], qr[1]) expected.h(qr[3]) expected.swap(qr[1], qr[3]) expected.measure(qr[2], cr[2]) expected.measure(qr[3], cr[3]) expected.cx(qr[1], qr[0]) expected.measure(qr[1], cr[0]) expected.measure(qr[0], cr[1]) expected_dag = circuit_to_dag(expected) pass_ = StochasticSwap(coupling, 20, 13) after = pass_.run(dag) self.assertEqual(expected_dag, after)
def test_overoptimization_case(self): """Check mapper overoptimization. The mapper should not change the semantics of the input. An overoptimization introduced issue #81: https://github.com/Qiskit/qiskit-terra/issues/81 """ coupling = CouplingMap([[0, 2], [1, 2], [2, 3]]) qr = QuantumRegister(4, 'q') cr = ClassicalRegister(4, 'c') circuit = QuantumCircuit(qr, cr) circuit.x(qr[0]) circuit.y(qr[1]) circuit.z(qr[2]) circuit.cx(qr[0], qr[1]) circuit.cx(qr[2], qr[3]) circuit.s(qr[1]) circuit.t(qr[2]) circuit.h(qr[3]) circuit.cx(qr[1], qr[2]) circuit.measure(qr[0], cr[0]) circuit.measure(qr[1], cr[1]) circuit.measure(qr[2], cr[2]) circuit.measure(qr[3], cr[3]) dag = circuit_to_dag(circuit) # ┌───┐ ┌─┐ # q_0: | 0 >┤ X ├────────────■───────────────────────────┤M├───────── # └───┘┌───┐ ┌─┴─┐ ┌───┐ └╥┘┌─┐ # q_1: | 0 >─────┤ Y ├─────┤ X ├─────┤ S ├────────────■───╫─┤M├────── # └───┘┌───┐└───┘ └───┘┌───┐ ┌─┴─┐ ║ └╥┘┌─┐ # q_2: | 0 >──────────┤ Z ├───────■───────┤ T ├─────┤ X ├─╫──╫─┤M├─── # └───┘ ┌─┴─┐ └───┘┌───┐└───┘ ║ ║ └╥┘┌─┐ # q_3: | 0 >────────────────────┤ X ├──────────┤ H ├──────╫──╫──╫─┤M├ # └───┘ └───┘ ║ ║ ║ └╥┘ # c_0: 0 ══════════════════════════════════════════════╩══╬══╬══╬═ # ║ ║ ║ # c_1: 0 ═════════════════════════════════════════════════╩══╬══╬═ # ║ ║ # c_2: 0 ════════════════════════════════════════════════════╩══╬═ # ║ # c_3: 0 ═══════════════════════════════════════════════════════╩═ # expected = QuantumCircuit(qr, cr) expected.z(qr[2]) expected.y(qr[1]) expected.x(qr[0]) expected.swap(qr[1], qr[2]) expected.cx(qr[0], qr[2]) expected.swap(qr[2], qr[3]) expected.cx(qr[1], qr[2]) expected.s(qr[3]) expected.t(qr[1]) expected.h(qr[2]) expected.measure(qr[0], cr[0]) expected.swap(qr[1], qr[2]) expected.cx(qr[3], qr[2]) expected.measure(qr[1], cr[3]) expected.measure(qr[3], cr[1]) expected.measure(qr[2], cr[2]) expected_dag = circuit_to_dag(expected) # ┌───┐ ┌─┐ # q_0: |0>─────────────┤ X ├──■──┤M├──────────────────────────────────────── # ┌───┐ └───┘ │ └╥┘ ┌───┐ ┌───┐┌─┐ # q_1: |0>─────┤ Y ├─X────────┼───╫───────────■──┤ T ├────────┤ X ├┤M├────── # ┌───┐└───┘ │ ┌─┴─┐ ║ ┌─┴─┐└───┘┌───┐ └─┬─┘└╥┘┌─┐ # q_2: |0>┤ Z ├──────X──────┤ X ├─╫──X──────┤ X ├─────┤ H ├─X───■───╫─┤M├─── # └───┘ └───┘ ║ │ ┌───┐└───┘ └───┘ │ ║ └╥┘┌─┐ # q_3: |0>────────────────────────╫──X─┤ S ├────────────────X───────╫──╫─┤M├ # ║ └───┘ ║ ║ └╥┘ # c_0: 0 ════════════════════════╩═════════════════════════════════╬══╬══╬═ # ║ ║ ║ # c_1: 0 ══════════════════════════════════════════════════════════╬══╩══╬═ # ║ ║ # c_2: 0 ══════════════════════════════════════════════════════════╩═════╬═ # ║ # c_3: 0 ════════════════════════════════════════════════════════════════╩═ # # Layout -- # {qr[0]: 0, # qr[1]: 1, # qr[2]: 2, # qr[3]: 3} pass_ = StochasticSwap(coupling, 20, 13) after = pass_.run(dag) self.assertEqual(expected_dag, after)
def level_3_pass_manager( pass_manager_config: PassManagerConfig) -> PassManager: """Level 3 pass manager: heavy optimization by noise adaptive qubit mapping and gate cancellation using commutativity rules and unitary synthesis. This pass manager applies the user-given initial layout. If none is given, a search for a perfect layout (i.e. one that satisfies all 2-qubit interactions) is conducted. If no such layout is found, and device calibration information is available, the circuit is mapped to the qubits with best readouts and to CX gates with highest fidelity. The pass manager then transforms the circuit to match the coupling constraints. It is then unrolled to the basis, and any flipped cx directions are fixed. Finally, optimizations in the form of commutative gate cancellation, resynthesis of two-qubit unitary blocks, and redundant reset removal are performed. Note: In simulators where ``coupling_map=None``, only the unrolling and optimization stages are done. Args: pass_manager_config: configuration of the pass manager. Returns: a level 3 pass manager. Raises: TranspilerError: if the passmanager config is invalid. """ basis_gates = pass_manager_config.basis_gates coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout layout_method = pass_manager_config.layout_method or 'dense' routing_method = pass_manager_config.routing_method or 'stochastic' translation_method = pass_manager_config.translation_method or 'translator' scheduling_method = pass_manager_config.scheduling_method instruction_durations = pass_manager_config.instruction_durations seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties # 1. Unroll to 1q or 2q gates _unroll3q = Unroll3qOrMore() # 2. Layout on good qubits if calibration info available, otherwise on dense links _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): return not property_set['layout'] _choose_layout_1 = [] if pass_manager_config.layout_method \ else CSPLayout(coupling_map, call_limit=10000, time_limit=60, seed=seed_transpiler) if layout_method == 'trivial': _choose_layout_2 = TrivialLayout(coupling_map) elif layout_method == 'dense': _choose_layout_2 = DenseLayout(coupling_map, backend_properties) elif layout_method == 'noise_adaptive': _choose_layout_2 = NoiseAdaptiveLayout(backend_properties) elif layout_method == 'sabre': _choose_layout_2 = SabreLayout(coupling_map, max_iterations=4, seed=seed_transpiler) else: raise TranspilerError("Invalid layout method %s." % layout_method) # 3. Extend dag/layout with ancillas using the full coupling map _embed = [ FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout() ] # 4. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [BarrierBeforeFinalMeasurements()] if routing_method == 'basic': _swap += [BasicSwap(coupling_map)] elif routing_method == 'stochastic': _swap += [ StochasticSwap(coupling_map, trials=200, seed=seed_transpiler) ] elif routing_method == 'lookahead': _swap += [LookaheadSwap(coupling_map, search_depth=5, search_width=6)] elif routing_method == 'sabre': _swap += [ SabreSwap(coupling_map, heuristic='decay', seed=seed_transpiler) ] elif routing_method == 'none': _swap += [ Error( msg= 'No routing method selected, but circuit is not routed to device. ' 'CheckMap Error: {check_map_msg}', action='raise') ] else: raise TranspilerError("Invalid routing method %s." % routing_method) # 5. Unroll to the basis if translation_method == 'unroller': _unroll = [Unroller(basis_gates)] elif translation_method == 'translator': from qiskit.circuit.equivalence_library import SessionEquivalenceLibrary as sel _unroll = [ UnrollCustomDefinitions(sel, basis_gates), BasisTranslator(sel, basis_gates) ] elif translation_method == 'synthesis': _unroll = [ Unroll3qOrMore(), Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates), UnitarySynthesis(basis_gates), ] else: raise TranspilerError("Invalid translation method %s." % translation_method) # 6. Fix any CX direction mismatch _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # 8. Optimize iteratively until no more change in depth. Removes useless gates # after reset and before measure, commutes gates and optimizes contiguous blocks. _depth_check = [Depth(), FixedPoint('depth')] def _opt_control(property_set): return not property_set['depth_fixed_point'] _reset = [RemoveResetInZeroState()] _meas = [OptimizeSwapBeforeMeasure(), RemoveDiagonalGatesBeforeMeasure()] _opt = [ Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates), UnitarySynthesis(basis_gates), Optimize1qGatesDecomposition(basis_gates), CommutativeCancellation(), ] # Schedule the circuit only when scheduling_method is supplied if scheduling_method: _scheduling = [TimeUnitAnalysis(instruction_durations)] if scheduling_method in {'alap', 'as_late_as_possible'}: _scheduling += [ALAPSchedule(instruction_durations)] elif scheduling_method in {'asap', 'as_soon_as_possible'}: _scheduling += [ASAPSchedule(instruction_durations)] else: raise TranspilerError("Invalid scheduling method %s." % scheduling_method) # Build pass manager pm3 = PassManager() pm3.append(_unroll3q) pm3.append(_reset + _meas) if coupling_map or initial_layout: pm3.append(_given_layout) pm3.append(_choose_layout_1, condition=_choose_layout_condition) pm3.append(_choose_layout_2, condition=_choose_layout_condition) pm3.append(_embed) pm3.append(_swap_check) pm3.append(_swap, condition=_swap_condition) pm3.append(_unroll) pm3.append(_depth_check + _opt + _unroll, do_while=_opt_control) if coupling_map and not coupling_map.is_symmetric: pm3.append(_direction_check) pm3.append(_direction, condition=_direction_condition) pm3.append(_reset) if scheduling_method: pm3.append(_scheduling) return pm3
def test_congestion(self): """Test code path that falls back to serial layers.""" coupling = CouplingMap(couplinglist=[[0, 1], [1, 2], [1, 3]]) qr = QuantumRegister(2, 'q') ar = QuantumRegister(2, 'a') cr = ClassicalRegister(4, 'c') circ = QuantumCircuit(qr, ar, cr) circ.cx(qr[1], ar[0]) circ.cx(qr[0], ar[1]) circ.measure(qr[0], cr[0]) circ.h(qr) circ.h(ar) circ.cx(qr[0], qr[1]) circ.cx(ar[0], ar[1]) circ.measure(qr[0], cr[0]) circ.measure(qr[1], cr[1]) circ.measure(ar[0], cr[2]) circ.measure(ar[1], cr[3]) dag = circuit_to_dag(circ) # ┌─┐┌───┐ ┌─┐ # q_0: |0>─────────────────■──────────────────┤M├┤ H ├──■─────┤M├ # ┌───┐ │ └╥┘└───┘┌─┴─┐┌─┐└╥┘ # q_1: |0>──■───────┤ H ├──┼───────────────────╫──────┤ X ├┤M├─╫─ # ┌─┴─┐┌───┐└───┘ │ ┌─┐ ║ └───┘└╥┘ ║ # a_0: |0>┤ X ├┤ H ├───────┼─────────■─────┤M├─╫────────────╫──╫─ # └───┘└───┘ ┌─┴─┐┌───┐┌─┴─┐┌─┐└╥┘ ║ ║ ║ # a_1: |0>───────────────┤ X ├┤ H ├┤ X ├┤M├─╫──╫────────────╫──╫─ # └───┘└───┘└───┘└╥┘ ║ ║ ║ ║ # c_0: 0 ═══════════════════════════════╬══╬══╩════════════╬══╩═ # ║ ║ ║ # c_1: 0 ═══════════════════════════════╬══╬═══════════════╩════ # ║ ║ # c_2: 0 ═══════════════════════════════╬══╩════════════════════ # ║ # c_3: 0 ═══════════════════════════════╩═══════════════════════ # # ┌─┐┌───┐ ┌─┐ # q_0: |0>────────────────────■──┤M├┤ H ├──────────────────■──┤M├────── # ┌─┴─┐└╥┘└───┘┌───┐┌───┐ ┌─┴─┐└╥┘┌─┐ # q_1: |0>──■───X───────────┤ X ├─╫──────┤ H ├┤ X ├─X────┤ X ├─╫─┤M├─── # ┌─┴─┐ │ ┌───┐└───┘ ║ └───┘└─┬─┘ │ └───┘ ║ └╥┘┌─┐ # a_0: |0>┤ X ├─┼──────┤ H ├──────╫─────────────■───┼──────────╫──╫─┤M├ # └───┘ │ ┌───┐└───┘ ║ │ ┌─┐ ║ ║ └╥┘ # a_1: |0>──────X─┤ H ├───────────╫─────────────────X─┤M├──────╫──╫──╫─ # └───┘ ║ └╥┘ ║ ║ ║ # c_0: 0 ════════════════════════╩════════════════════╬═══════╩══╬══╬═ # ║ ║ ║ # c_1: 0 ═════════════════════════════════════════════╬══════════╩══╬═ # ║ ║ # c_2: 0 ═════════════════════════════════════════════╬═════════════╩═ # ║ # c_3: 0 ═════════════════════════════════════════════╩═══════════════ # # Layout from mapper: # {(QuantumRegister(2, 'q'), 0): 0, # (QuantumRegister(2, 'q'), 1): 1, # (QuantumRegister(2, 'a'), 0): 2, # (QuantumRegister(2, 'a'), 1): 3} # # 2 # | # 0 - 1 - 3 expected = QuantumCircuit(qr, ar, cr) expected.cx(qr[1], ar[0]) expected.h(ar[0]) expected.swap(qr[1], ar[1]) expected.cx(qr[0], qr[1]) expected.h(ar[1]) expected.h(qr[1]) expected.cx(ar[0], qr[1]) expected.measure(qr[0], cr[0]) expected.h(qr[0]) expected.measure(ar[0], cr[2]) expected.swap(ar[1], qr[1]) expected.cx(qr[0], qr[1]) expected.measure(ar[1], cr[3]) expected.measure(qr[1], cr[1]) expected.measure(qr[0], cr[0]) expected_dag = circuit_to_dag(expected) layout = Layout([(QuantumRegister(2, 'q'), 0), (QuantumRegister(2, 'q'), 1), (QuantumRegister(2, 'a'), 0), (QuantumRegister(2, 'a'), 1)]) pass_ = StochasticSwap(coupling, layout, 20, 13) after = pass_.run(dag) self.assertEqual(expected_dag, after)
# # # 2 # | # 0 - 1 - 3 # Build the expected output to verify the pass worked expected = QuantumCircuit(qr, cr) expected.cx(qr[1], qr[2]) expected.swap(qr[0], qr[1]) expected.cx(qr[1], qr[3]) expected.h(qr[3]) expected.h(qr[2]) expected.measure(qr[1], cr[0]) expected.h(qr[0]) expected.swap(qr[1], qr[3]) expected.h(qr[3]) expected.cx(qr[2], qr[1]) expected.measure(qr[2], cr[2]) expected.swap(qr[1], qr[3]) expected.measure(qr[3], cr[3]) expected.cx(qr[1], qr[0]) expected.measure(qr[1], cr[0]) expected.measure(qr[0], cr[1]) expected_dag = circuit_to_dag(expected) # Run the pass on the dag from the input circuit pass_ = StochasticSwap(coupling, 20, 999) after = pass_.run(dag) # Verify the output of the pass matches our expectation assert expected_dag == after
def level_1_pass_manager( pass_manager_config: PassManagerConfig) -> PassManager: """Level 1 pass manager: light optimization by simple adjacent gate collapsing. This pass manager applies the user-given initial layout. If none is given, and a trivial layout (i-th virtual -> i-th physical) makes the circuit fit the coupling map, that is used. Otherwise, the circuit is mapped to the most densely connected coupling subgraph, and swaps are inserted to map. Any unused physical qubit is allocated as ancilla space. The pass manager then unrolls the circuit to the desired basis, and transforms the circuit to match the coupling map. Finally, optimizations in the form of adjacent gate collapse and redundant reset removal are performed. Note: In simulators where ``coupling_map=None``, only the unrolling and optimization stages are done. Args: pass_manager_config: configuration of the pass manager. Returns: a level 1 pass manager. Raises: TranspilerError: if the passmanager config is invalid. """ basis_gates = pass_manager_config.basis_gates inst_map = pass_manager_config.inst_map coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout layout_method = pass_manager_config.layout_method or "dense" routing_method = pass_manager_config.routing_method or "stochastic" translation_method = pass_manager_config.translation_method or "translator" scheduling_method = pass_manager_config.scheduling_method instruction_durations = pass_manager_config.instruction_durations seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties approximation_degree = pass_manager_config.approximation_degree unitary_synthesis_method = pass_manager_config.unitary_synthesis_method unitary_synthesis_plugin_config = pass_manager_config.unitary_synthesis_plugin_config timing_constraints = pass_manager_config.timing_constraints or TimingConstraints( ) target = pass_manager_config.target # 1. Use trivial layout if no layout given _given_layout = SetLayout(initial_layout) _choose_layout_and_score = [ TrivialLayout(coupling_map), Layout2qDistance(coupling_map, property_name="trivial_layout_score"), ] def _choose_layout_condition(property_set): return not property_set["layout"] # 2. Decompose so only 1-qubit and 2-qubit gates remain _unroll3q = [ # Use unitary synthesis for basis aware decomposition of UnitaryGates UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, method=unitary_synthesis_method, min_qubits=3, plugin_config=unitary_synthesis_plugin_config, ), Unroll3qOrMore(), ] # 3. Use a better layout on densely connected qubits, if circuit needs swaps if layout_method == "trivial": _improve_layout = TrivialLayout(coupling_map) elif layout_method == "dense": _improve_layout = DenseLayout(coupling_map, backend_properties) elif layout_method == "noise_adaptive": _improve_layout = NoiseAdaptiveLayout(backend_properties) elif layout_method == "sabre": _improve_layout = SabreLayout(coupling_map, max_iterations=2, seed=seed_transpiler) else: raise TranspilerError("Invalid layout method %s." % layout_method) def _not_perfect_yet(property_set): return (property_set["trivial_layout_score"] is not None and property_set["trivial_layout_score"] != 0) # 4. Extend dag/layout with ancillas using the full coupling map _embed = [ FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout() ] # 5. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set["is_swap_mapped"] _swap = [BarrierBeforeFinalMeasurements()] if routing_method == "basic": _swap += [BasicSwap(coupling_map)] elif routing_method == "stochastic": _swap += [ StochasticSwap(coupling_map, trials=20, seed=seed_transpiler) ] elif routing_method == "lookahead": _swap += [LookaheadSwap(coupling_map, search_depth=4, search_width=4)] elif routing_method == "sabre": _swap += [ SabreSwap(coupling_map, heuristic="lookahead", seed=seed_transpiler) ] elif routing_method == "none": _swap += [ Error( msg= ("No routing method selected, but circuit is not routed to device. " "CheckMap Error: {check_map_msg}"), action="raise", ) ] else: raise TranspilerError("Invalid routing method %s." % routing_method) # 6. Unroll to the basis if translation_method == "unroller": _unroll = [Unroller(basis_gates)] elif translation_method == "translator": from qiskit.circuit.equivalence_library import SessionEquivalenceLibrary as sel _unroll = [ # Use unitary synthesis for basis aware decomposition of UnitaryGates before # custom unrolling UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, coupling_map=coupling_map, method=unitary_synthesis_method, backend_props=backend_properties, plugin_config=unitary_synthesis_plugin_config, ), UnrollCustomDefinitions(sel, basis_gates), BasisTranslator(sel, basis_gates, target), ] elif translation_method == "synthesis": _unroll = [ # Use unitary synthesis for basis aware decomposition of UnitaryGates before # collection UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, coupling_map=coupling_map, method=unitary_synthesis_method, backend_props=backend_properties, min_qubits=3, ), Unroll3qOrMore(), Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates), UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, coupling_map=coupling_map, method=unitary_synthesis_method, backend_props=backend_properties, plugin_config=unitary_synthesis_plugin_config, ), ] else: raise TranspilerError("Invalid translation method %s." % translation_method) # 7. Fix any bad CX directions _direction_check = [CheckGateDirection(coupling_map, target)] def _direction_condition(property_set): return not property_set["is_direction_mapped"] _direction = [GateDirection(coupling_map, target)] # 8. Remove zero-state reset _reset = RemoveResetInZeroState() # 9. Merge 1q rotations and cancel CNOT gates iteratively until no more change in depth _depth_check = [Depth(), FixedPoint("depth")] def _opt_control(property_set): return not property_set["depth_fixed_point"] _opt = [Optimize1qGatesDecomposition(basis_gates), CXCancellation()] # 10. Unify all durations (either SI, or convert to dt if known) # Schedule the circuit only when scheduling_method is supplied _time_unit_setup = [ContainsInstruction("delay")] _time_unit_conversion = [TimeUnitConversion(instruction_durations)] def _contains_delay(property_set): return property_set["contains_delay"] _scheduling = [] if scheduling_method: _scheduling += _time_unit_conversion if scheduling_method in {"alap", "as_late_as_possible"}: _scheduling += [ALAPSchedule(instruction_durations)] elif scheduling_method in {"asap", "as_soon_as_possible"}: _scheduling += [ASAPSchedule(instruction_durations)] else: raise TranspilerError("Invalid scheduling method %s." % scheduling_method) # 11. Call measure alignment. Should come after scheduling. if (timing_constraints.granularity != 1 or timing_constraints.min_length != 1 or timing_constraints.acquire_alignment != 1): _alignments = [ ValidatePulseGates(granularity=timing_constraints.granularity, min_length=timing_constraints.min_length), AlignMeasures(alignment=timing_constraints.acquire_alignment), ] else: _alignments = [] # Build pass manager pm1 = PassManager() if coupling_map or initial_layout: pm1.append(_given_layout) pm1.append(_unroll3q) pm1.append(_choose_layout_and_score, condition=_choose_layout_condition) pm1.append(_improve_layout, condition=_not_perfect_yet) pm1.append(_embed) pm1.append(_swap_check) pm1.append(_swap, condition=_swap_condition) pm1.append(_unroll) if (coupling_map and not coupling_map.is_symmetric) or ( target is not None and target.get_non_global_operation_names(strict_direction=True)): pm1.append(_direction_check) pm1.append(_direction, condition=_direction_condition) pm1.append(_reset) pm1.append(_depth_check + _opt + _unroll, do_while=_opt_control) if inst_map and inst_map.has_custom_gate(): pm1.append(PulseGates(inst_map=inst_map)) if scheduling_method: pm1.append(_scheduling) elif instruction_durations: pm1.append(_time_unit_setup) pm1.append(_time_unit_conversion, condition=_contains_delay) pm1.append(_alignments) return pm1
def noise_pass_manager(basis_gates=None, initial_layout=None, coupling_map=None, layout_method=None, translation_method=None, seed_transpiler=None, backend=None, routing_method=None, backend_properties=None, transform=False, readout=True, alpha=0.5, next_gates=5, front=True) -> PassManager: """Level 3 pass manager: heavy optimization by noise adaptive qubit mapping and gate cancellation using commutativity rules and unitary synthesis. This pass manager applies the user-given initial layout. If none is given, a search for a perfect layout (i.e. one that satisfies all 2-qubit interactions) is conducted. If no such layout is found, and device calibration information is available, the circuit is mapped to the qubits with best readouts and to CX gates with highest fidelity. The pass manager then transforms the circuit to match the coupling constraints. It is then unrolled to the basis, and any flipped cx directions are fixed. Finally, optimizations in the form of commutative gate cancellation, resynthesis of two-qubit unitary blocks, and redundant reset removal are performed. Note: In simulators where ``coupling_map=None``, only the unrolling and optimization stages are done. Args: backend (BaseBackend) Returns: a level 3 pass manager. Raises: TranspilerError: if the passmanager config is invalid. """ if basis_gates is None: if getattr(backend, 'configuration', None): basis_gates = getattr(backend.configuration(), 'basis_gates', None) # basis_gates could be None, or a list of basis, e.g. ['u3', 'cx'] if isinstance(basis_gates, list) and all( isinstance(i, str) for i in basis_gates): basis_gates = basis_gates if basis_gates is None: basis_gates = ['u3', 'cx', 'id'] # basis_gates = ['u3', 'cx', 'id'] backend = backend if backend is None or backend.configuration().simulator: if backend_properties is None or coupling_map is None: raise QiskitError( "Backend is simulator or not specified, provide backend properties and coupling map." ) coupling_map = coupling_map backend_properties = backend_properties else: if backend_properties is not None or coupling_map is not None: warnings.warn( "A backend was provide, ignoring backend properties and coupling map", UserWarning) coupling_map = backend.configuration().coupling_map backend_properties = backend.properties() if isinstance(coupling_map, list): coupling_map = CouplingMap(couplinglist=coupling_map) initial_layout = initial_layout layout_method = layout_method or 'dense' routing_method = routing_method or 'stochastic' translation_method = translation_method or 'translator' seed_transpiler = seed_transpiler # 1. Unroll to 1q or 2q gates _unroll3q = Unroll3qOrMore() # 2. Layout on good qubits if calibration info available, otherwise on dense links _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): return not property_set['layout'] _choose_layout_1 = CSPLayout(coupling_map, call_limit=10000, time_limit=60) if layout_method == 'trivial': _choose_layout_2 = TrivialLayout(coupling_map) elif layout_method == 'dense': _choose_layout_2 = DenseLayout(coupling_map, backend_properties) elif layout_method == 'noise_adaptive': _choose_layout_2 = NoiseAdaptiveLayout(backend_properties) elif layout_method == 'sabre': _choose_layout_2 = SabreLayout(coupling_map, max_iterations=4, seed=seed_transpiler) elif layout_method == 'chain': _choose_layout_2 = ChainLayout(coupling_map, backend_properties, readout=readout) else: raise TranspilerError("Invalid layout method %s." % layout_method) # 3. Extend dag/layout with ancillas using the full coupling map _embed = [ FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout() ] # 4. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [BarrierBeforeFinalMeasurements()] if routing_method == 'basic': _swap += [BasicSwap(coupling_map)] elif routing_method == 'stochastic': _swap += [ StochasticSwap(coupling_map, trials=200, seed=seed_transpiler) ] elif routing_method == 'lookahead': _swap += [LookaheadSwap(coupling_map, search_depth=5, search_width=6)] elif routing_method == 'sabre': _swap += [ SabreSwap(coupling_map, heuristic='decay', seed=seed_transpiler) ] elif routing_method == 'noise_adaptive': _swap += [ NoiseAdaptiveSwap(coupling_map, backend_properties, invert_score=invert_score, swap_score=swap_score, readout=readout, alpha=alpha, next_gates=next_gates, front=front) ] else: raise TranspilerError("Invalid routing method %s." % routing_method) # 5. Unroll to the basis if translation_method == 'unroller': _unroll = [Unroller(basis_gates)] elif translation_method == 'translator': from qiskit.circuit.equivalence_library import SessionEquivalenceLibrary as sel _unroll = [ UnrollCustomDefinitions(sel, basis_gates), BasisTranslator(sel, basis_gates) ] elif translation_method == 'synthesis': _unroll = [ Unroll3qOrMore(), Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates), UnitarySynthesis(basis_gates), ] else: raise TranspilerError("Invalid translation method %s." % translation_method) # 6. Fix any CX direction mismatch _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # 8. Optimize iteratively until no more change in depth. Removes useless gates # after reset and before measure, commutes gates and optimizes continguous blocks. _depth_check = [Depth(), FixedPoint('depth')] def _opt_control(property_set): return not property_set['depth_fixed_point'] _reset = [RemoveResetInZeroState()] _meas = [OptimizeSwapBeforeMeasure(), RemoveDiagonalGatesBeforeMeasure()] _opt = [ Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates), UnitarySynthesis(basis_gates), Optimize1qGates(basis_gates), CommutativeCancellation(), ] # Build pass manager pm3 = PassManager() pm3.append(_unroll3q) if transform: _transform = TransformCxCascade() pm3.append(_transform) pm3.append(_reset + _meas) if coupling_map: pm3.append(_given_layout) pm3.append(_choose_layout_1, condition=_choose_layout_condition) pm3.append(_choose_layout_2, condition=_choose_layout_condition) pm3.append(_embed) pm3.append(_swap_check) pm3.append(_swap, condition=_swap_condition) pm3.append(_unroll) pm3.append(_depth_check + _opt + _unroll, do_while=_opt_control) if coupling_map and not coupling_map.is_symmetric: pm3.append(_direction_check) pm3.append(_direction, condition=_direction_condition) pm3.append(_reset) return pm3
def level_1_pass_manager(pass_manager_config): """ Level 1 pass manager: light optimization by simple adjacent gate collapsing This pass manager applies the user-given initial layout. If none is given, and a trivial layout (i-th virtual -> i-th physical) makes the circuit fit the coupling map, that is used. Otherwise, the circuit is mapped to the most densely connected coupling subgraph, and swaps are inserted to map. Any unused physical qubit is allocated as ancilla space. The pass manager then unrolls the circuit to the desired basis, and transforms the circuit to match the coupling map. Finally, optimizations in the form of adjacent gate collapse and redundant reset removal are performed. Note: in simulators where coupling_map=None, only the unrolling and optimization stages are done. Args: pass_manager_config (PassManagerConfig) Returns: PassManager: a level 1 pass manager. """ basis_gates = pass_manager_config.basis_gates coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties # 1. Use trivial layout if no layout given _set_initial_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): return not property_set['layout'] # 2. Use a better layout on densely connected qubits, if circuit needs swaps def _not_perfect_yet(property_set): return property_set['trivial_layout_score'] is not None and \ property_set['trivial_layout_score'] != 0 # 3. Extend dag/layout with ancillas using the full coupling map _embed = [ FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout() ] # 4. Unroll to the basis _unroll = Unroller(basis_gates) # 5. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [ BarrierBeforeFinalMeasurements(), Unroll3qOrMore(), StochasticSwap(coupling_map, trials=20, seed=seed_transpiler), Decompose(SwapGate) ] # 6. Fix any bad CX directions _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # 7. Remove zero-state reset _reset = RemoveResetInZeroState() # 8. Merge 1q rotations and cancel CNOT gates iteratively until no more change in depth _depth_check = [Depth(), FixedPoint('depth')] def _opt_control(property_set): return not property_set['depth_fixed_point'] _opt = [Optimize1qGates(), CXCancellation()] pm1 = PassManager() if coupling_map: pm1.append(_set_initial_layout) pm1.append([ TrivialLayout(coupling_map), Layout2qDistance(coupling_map, property_name='trivial_layout_score') ], condition=_choose_layout_condition) pm1.append(DenseLayout(coupling_map, backend_properties), condition=_not_perfect_yet) pm1.append(_embed) pm1.append(_unroll) if coupling_map: pm1.append(_swap_check) pm1.append(_swap, condition=_swap_condition) if not coupling_map.is_symmetric: pm1.append(_direction_check) pm1.append(_direction, condition=_direction_condition) pm1.append(_reset) pm1.append(_depth_check + _opt, do_while=_opt_control) return pm1
def level_3_pass_manager(pass_manager_config: PassManagerConfig) -> PassManager: """Level 3 pass manager: heavy optimization by noise adaptive qubit mapping and gate cancellation using commutativity rules and unitary synthesis. This pass manager applies the user-given initial layout. If none is given, a search for a perfect layout (i.e. one that satisfies all 2-qubit interactions) is conducted. If no such layout is found, and device calibration information is available, the circuit is mapped to the qubits with best readouts and to CX gates with highest fidelity. The pass manager then transforms the circuit to match the coupling constraints. It is then unrolled to the basis, and any flipped cx directions are fixed. Finally, optimizations in the form of commutative gate cancellation, resynthesis of two-qubit unitary blocks, and redundant reset removal are performed. Note: In simulators where ``coupling_map=None``, only the unrolling and optimization stages are done. Args: pass_manager_config: configuration of the pass manager. Returns: a level 3 pass manager. Raises: TranspilerError: if the passmanager config is invalid. """ basis_gates = pass_manager_config.basis_gates inst_map = pass_manager_config.inst_map coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout layout_method = pass_manager_config.layout_method or "sabre" routing_method = pass_manager_config.routing_method or "sabre" translation_method = pass_manager_config.translation_method or "translator" scheduling_method = pass_manager_config.scheduling_method instruction_durations = pass_manager_config.instruction_durations seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties approximation_degree = pass_manager_config.approximation_degree unitary_synthesis_method = pass_manager_config.unitary_synthesis_method timing_constraints = pass_manager_config.timing_constraints or TimingConstraints() unitary_synthesis_plugin_config = pass_manager_config.unitary_synthesis_plugin_config target = pass_manager_config.target # 1. Unroll to 1q or 2q gates _unroll3q = [ # Use unitary synthesis for basis aware decomposition of UnitaryGates UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, method=unitary_synthesis_method, plugin_config=unitary_synthesis_plugin_config, min_qubits=3, ), Unroll3qOrMore(), ] # 2. Layout on good qubits if calibration info available, otherwise on dense links _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): # layout hasn't been set yet return not property_set["layout"] def _csp_not_found_match(property_set): # If a layout hasn't been set by the time we run csp we need to run layout if property_set["layout"] is None: return True # if CSP layout stopped for any reason other than solution found we need # to run layout since CSP didn't converge. if ( property_set["CSPLayout_stop_reason"] is not None and property_set["CSPLayout_stop_reason"] != "solution found" ): return True return False # 2a. If layout method is not set, first try a trivial layout _choose_layout_0 = ( [] if pass_manager_config.layout_method else [ TrivialLayout(coupling_map), Layout2qDistance(coupling_map, property_name="trivial_layout_score"), ] ) # 2b. If trivial layout wasn't perfect (ie no swaps are needed) then try # using CSP layout to find a perfect layout _choose_layout_1 = ( [] if pass_manager_config.layout_method else CSPLayout(coupling_map, call_limit=10000, time_limit=60, seed=seed_transpiler) ) def _trivial_not_perfect(property_set): # Verify that a trivial layout is perfect. If trivial_layout_score > 0 # the layout is not perfect. The layout property set is unconditionally # set by trivial layout so we clear that before running CSP if property_set["trivial_layout_score"] is not None: if property_set["trivial_layout_score"] != 0: return True return False # 2c. if CSP didn't converge on a solution use layout_method (dense). if layout_method == "trivial": _choose_layout_2 = TrivialLayout(coupling_map) elif layout_method == "dense": _choose_layout_2 = DenseLayout(coupling_map, backend_properties) elif layout_method == "noise_adaptive": _choose_layout_2 = NoiseAdaptiveLayout(backend_properties) elif layout_method == "sabre": _choose_layout_2 = SabreLayout(coupling_map, max_iterations=4, seed=seed_transpiler) else: raise TranspilerError("Invalid layout method %s." % layout_method) # 3. Extend dag/layout with ancillas using the full coupling map _embed = [FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout()] # 4. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set["is_swap_mapped"] _swap = [BarrierBeforeFinalMeasurements()] if routing_method == "basic": _swap += [BasicSwap(coupling_map)] elif routing_method == "stochastic": _swap += [StochasticSwap(coupling_map, trials=200, seed=seed_transpiler)] elif routing_method == "lookahead": _swap += [LookaheadSwap(coupling_map, search_depth=5, search_width=6)] elif routing_method == "sabre": _swap += [SabreSwap(coupling_map, heuristic="decay", seed=seed_transpiler)] elif routing_method == "none": _swap += [ Error( msg=( "No routing method selected, but circuit is not routed to device. " "CheckMap Error: {check_map_msg}" ), action="raise", ) ] else: raise TranspilerError("Invalid routing method %s." % routing_method) # 5. Unroll to the basis if translation_method == "unroller": _unroll = [Unroller(basis_gates)] elif translation_method == "translator": from qiskit.circuit.equivalence_library import SessionEquivalenceLibrary as sel _unroll = [ UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, coupling_map=coupling_map, backend_props=backend_properties, plugin_config=unitary_synthesis_plugin_config, method=unitary_synthesis_method, ), UnrollCustomDefinitions(sel, basis_gates), BasisTranslator(sel, basis_gates, target), ] elif translation_method == "synthesis": _unroll = [ UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, coupling_map=coupling_map, backend_props=backend_properties, method=unitary_synthesis_method, plugin_config=unitary_synthesis_plugin_config, min_qubits=3, ), Unroll3qOrMore(), Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates), UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, coupling_map=coupling_map, backend_props=backend_properties, method=unitary_synthesis_method, plugin_config=unitary_synthesis_plugin_config, ), ] else: raise TranspilerError("Invalid translation method %s." % translation_method) # 6. Fix any CX direction mismatch _direction_check = [CheckGateDirection(coupling_map, target)] def _direction_condition(property_set): return not property_set["is_direction_mapped"] _direction = [GateDirection(coupling_map, target)] # 8. Optimize iteratively until no more change in depth. Removes useless gates # after reset and before measure, commutes gates and optimizes contiguous blocks. _depth_check = [Depth(), FixedPoint("depth")] def _opt_control(property_set): return not property_set["depth_fixed_point"] _reset = [RemoveResetInZeroState()] _meas = [OptimizeSwapBeforeMeasure(), RemoveDiagonalGatesBeforeMeasure()] _opt = [ Collect2qBlocks(), ConsolidateBlocks(basis_gates=basis_gates), UnitarySynthesis( basis_gates, approximation_degree=approximation_degree, coupling_map=coupling_map, backend_props=backend_properties, method=unitary_synthesis_method, plugin_config=unitary_synthesis_plugin_config, ), Optimize1qGatesDecomposition(basis_gates), CommutativeCancellation(), ] # 9. Unify all durations (either SI, or convert to dt if known) # Schedule the circuit only when scheduling_method is supplied _time_unit_setup = [ContainsInstruction("delay")] _time_unit_conversion = [TimeUnitConversion(instruction_durations)] def _contains_delay(property_set): return property_set["contains_delay"] _scheduling = [] if scheduling_method: _scheduling += _time_unit_conversion if scheduling_method in {"alap", "as_late_as_possible"}: _scheduling += [ALAPSchedule(instruction_durations)] elif scheduling_method in {"asap", "as_soon_as_possible"}: _scheduling += [ASAPSchedule(instruction_durations)] else: raise TranspilerError("Invalid scheduling method %s." % scheduling_method) # 10. Call measure alignment. Should come after scheduling. if ( timing_constraints.granularity != 1 or timing_constraints.min_length != 1 or timing_constraints.acquire_alignment != 1 ): _alignments = [ ValidatePulseGates( granularity=timing_constraints.granularity, min_length=timing_constraints.min_length ), AlignMeasures(alignment=timing_constraints.acquire_alignment), ] else: _alignments = [] # Build pass manager pm3 = PassManager() pm3.append(_unroll3q) pm3.append(_reset + _meas) if coupling_map or initial_layout: pm3.append(_given_layout) pm3.append(_choose_layout_0, condition=_choose_layout_condition) pm3.append(_choose_layout_1, condition=_trivial_not_perfect) pm3.append(_choose_layout_2, condition=_csp_not_found_match) pm3.append(_embed) pm3.append(_swap_check) pm3.append(_swap, condition=_swap_condition) pm3.append(_unroll) if (coupling_map and not coupling_map.is_symmetric) or ( target is not None and target.get_non_global_operation_names(strict_direction=True) ): pm3.append(_direction_check) pm3.append(_direction, condition=_direction_condition) pm3.append(_reset) # For transpiling to a target we need to run GateDirection in the # optimization loop to correct for incorrect directions that might be # inserted by UnitarySynthesis which is direction aware but only via # the coupling map which with a target doesn't give a full picture if target is not None: pm3.append(_depth_check + _opt + _unroll + _direction, do_while=_opt_control) else: pm3.append(_depth_check + _opt + _unroll, do_while=_opt_control) else: pm3.append(_reset) pm3.append(_depth_check + _opt + _unroll, do_while=_opt_control) if inst_map and inst_map.has_custom_gate(): pm3.append(PulseGates(inst_map=inst_map)) if scheduling_method: pm3.append(_scheduling) elif instruction_durations: pm3.append(_time_unit_setup) pm3.append(_time_unit_conversion, condition=_contains_delay) pm3.append(_alignments) return pm3
def level_0_pass_manager(pass_manager_config): """ Level 0 pass manager: no explicit optimization other than mapping to backend. This pass manager applies the user-given initial layout. If none is given, a trivial layout consisting of mapping the i-th virtual qubit to the i-th physical qubit is used. Any unused physical qubit is allocated as ancilla space. The pass manager then unrolls the circuit to the desired basis, and transforms the circuit to match the coupling map. Finally, extra resets are removed. Note: in simulators where coupling_map=None, only the unrolling and optimization stages are done. Args: pass_manager_config (PassManagerConfig) Returns: PassManager: a level 0 pass manager. """ basis_gates = pass_manager_config.basis_gates coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout seed_transpiler = pass_manager_config.seed_transpiler # 1. Use trivial layout if no layout given _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): return not property_set['layout'] _choose_layout = TrivialLayout(coupling_map) # 2. Extend dag/layout with ancillas using the full coupling map _embed = [ FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout() ] # 3. Unroll to the basis _unroll = Unroller(basis_gates) # 4. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [ BarrierBeforeFinalMeasurements(), StochasticSwap(coupling_map, trials=20, seed=seed_transpiler), Decompose(SwapGate) ] # 5. Fix any bad CX directions _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # 6. Remove zero-state reset _reset = RemoveResetInZeroState() pm0 = PassManager() if coupling_map: pm0.append(_given_layout) pm0.append(_choose_layout, condition=_choose_layout_condition) pm0.append(_embed) pm0.append(_unroll) if coupling_map: pm0.append(_swap_check) pm0.append(_swap, condition=_swap_condition) if not coupling_map.is_symmetric: pm0.append(_direction_check) pm0.append(_direction, condition=_direction_condition) pm0.append(_reset) return pm0
def level_2_pass_manager( pass_manager_config: PassManagerConfig) -> PassManager: """Level 2 pass manager: medium optimization by initial layout selection and gate cancellation using commutativity rules. This pass manager applies the user-given initial layout. If none is given, a search for a perfect layout (i.e. one that satisfies all 2-qubit interactions) is conducted. If no such layout is found, qubits are laid out on the most densely connected subset which also exhibits the best gate fidelitites. The pass manager then transforms the circuit to match the coupling constraints. It is then unrolled to the basis, and any flipped cx directions are fixed. Finally, optimizations in the form of commutative gate cancellation and redundant reset removal are performed. Note: In simulators where ``coupling_map=None``, only the unrolling and optimization stages are done. Args: pass_manager_config: configuration of the pass manager. Returns: a level 2 pass manager. """ basis_gates = pass_manager_config.basis_gates coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties # 1. Search for a perfect layout, or choose a dense layout, if no layout given _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): return not property_set['layout'] _choose_layout_1 = CSPLayout(coupling_map, call_limit=1000, time_limit=10) _choose_layout_2 = DenseLayout(coupling_map, backend_properties) # 2. Extend dag/layout with ancillas using the full coupling map _embed = [ FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout() ] # 3. Unroll to 1q or 2q gates _unroll3q = Unroll3qOrMore() # 4. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [ BarrierBeforeFinalMeasurements(), StochasticSwap(coupling_map, trials=20, seed=seed_transpiler) ] # 5. Unroll to the basis _unroll = Unroller(basis_gates) # 6. Fix any bad CX directions _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # 7. Remove zero-state reset _reset = RemoveResetInZeroState() # 8. 1q rotation merge and commutative cancellation iteratively until no more change in depth _depth_check = [Depth(), FixedPoint('depth')] def _opt_control(property_set): return not property_set['depth_fixed_point'] _opt = [Optimize1qGates(), CommutativeCancellation()] # Build pass manager pm2 = PassManager() if coupling_map: pm2.append(_given_layout) pm2.append(_choose_layout_1, condition=_choose_layout_condition) pm2.append(_choose_layout_2, condition=_choose_layout_condition) pm2.append(_embed) pm2.append(_unroll3q) pm2.append(_swap_check) pm2.append(_swap, condition=_swap_condition) pm2.append(_unroll) if coupling_map and not coupling_map.is_symmetric: pm2.append(_direction_check) pm2.append(_direction, condition=_direction_condition) pm2.append(_reset) pm2.append(_depth_check + _opt, do_while=_opt_control) return pm2
def level_3_pass_manager(transpile_config): """ Level 3 pass manager: heavy optimization by noise adaptive qubit mapping and gate cancellation using commutativity rules and unitary synthesis. This pass manager applies the user-given initial layout. If none is given, and device calibration information is available, the circuit is mapped to the qubits with best readouts and to CX gates with highest fidelity. Otherwise, a layout on the most densely connected qubits is used. The pass manager then transforms the circuit to match the coupling constraints. It is then unrolled to the basis, and any flipped cx directions are fixed. Finally, optimizations in the form of commutative gate cancellation, resynthesis of two-qubit unitary blocks, and redundant reset removal are performed. Note: in simulators where coupling_map=None, only the unrolling and optimization stages are done. Args: transpile_config (TranspileConfig) Returns: PassManager: a level 3 pass manager. """ basis_gates = transpile_config.basis_gates coupling_map = transpile_config.coupling_map initial_layout = transpile_config.initial_layout seed_transpiler = transpile_config.seed_transpiler backend_properties = transpile_config.backend_properties # 1. Unroll to the basis first, to prepare for noise-adaptive layout _unroll = Unroller(basis_gates) # 2. Layout on good qubits if calibration info available, otherwise on dense links _given_layout = SetLayout(initial_layout) def _choose_layout_condition(property_set): return not property_set['layout'] _choose_layout = DenseLayout(coupling_map) if backend_properties: _choose_layout = NoiseAdaptiveLayout(backend_properties) # 3. Extend dag/layout with ancillas using the full coupling map _embed = [ FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout() ] # 4. Unroll to 1q or 2q gates, swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [ BarrierBeforeFinalMeasurements(), Unroll3qOrMore(), StochasticSwap(coupling_map, trials=20, seed=seed_transpiler), Decompose(SwapGate) ] _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # 5. 1q rotation merge and commutative cancellation iteratively until no more change in depth _depth_check = [Depth(), FixedPoint('depth')] def _opt_control(property_set): return not property_set['depth_fixed_point'] _opt = [ RemoveResetInZeroState(), Collect2qBlocks(), ConsolidateBlocks(), Unroller(basis_gates), # unroll unitaries Optimize1qGates(), CommutativeCancellation(), OptimizeSwapBeforeMeasure(), RemoveDiagonalGatesBeforeMeasure() ] if coupling_map: _opt.append(CXDirection(coupling_map)) # if a coupling map has been provided, match coupling pm3 = PassManager() pm3.append(_unroll) if coupling_map: pm3.append(_given_layout) pm3.append(_choose_layout, condition=_choose_layout_condition) pm3.append(_embed) pm3.append(_swap_check) pm3.append(_swap, condition=_swap_condition) if not coupling_map.is_symmetric: pm3.append(_direction_check) pm3.append(_direction, condition=_direction_condition) pm3.append(_depth_check + _opt, do_while=_opt_control) return pm3
def level_1_pass_manager( pass_manager_config: PassManagerConfig) -> PassManager: """Level 1 pass manager: light optimization by simple adjacent gate collapsing. This pass manager applies the user-given initial layout. If none is given, and a trivial layout (i-th virtual -> i-th physical) makes the circuit fit the coupling map, that is used. Otherwise, the circuit is mapped to the most densely connected coupling subgraph, and swaps are inserted to map. Any unused physical qubit is allocated as ancilla space. The pass manager then unrolls the circuit to the desired basis, and transforms the circuit to match the coupling map. Finally, optimizations in the form of adjacent gate collapse and redundant reset removal are performed. Note: In simulators where ``coupling_map=None``, only the unrolling and optimization stages are done. Args: pass_manager_config: configuration of the pass manager. Returns: a level 1 pass manager. Raises: TranspilerError: if the passmanager config is invalid. """ basis_gates = pass_manager_config.basis_gates coupling_map = pass_manager_config.coupling_map initial_layout = pass_manager_config.initial_layout layout_method = pass_manager_config.layout_method or 'dense' routing_method = pass_manager_config.routing_method or 'stochastic' seed_transpiler = pass_manager_config.seed_transpiler backend_properties = pass_manager_config.backend_properties # 1. Use trivial layout if no layout given _given_layout = SetLayout(initial_layout) _choose_layout_and_score = [ TrivialLayout(coupling_map), Layout2qDistance(coupling_map, property_name='trivial_layout_score') ] def _choose_layout_condition(property_set): return not property_set['layout'] # 2. Use a better layout on densely connected qubits, if circuit needs swaps if layout_method == 'trivial': _improve_layout = TrivialLayout(coupling_map) elif layout_method == 'dense': _improve_layout = DenseLayout(coupling_map, backend_properties) elif layout_method == 'noise_adaptive': _improve_layout = NoiseAdaptiveLayout(backend_properties) else: raise TranspilerError("Invalid layout method %s." % layout_method) def _not_perfect_yet(property_set): return property_set['trivial_layout_score'] is not None and \ property_set['trivial_layout_score'] != 0 # 3. Extend dag/layout with ancillas using the full coupling map _embed = [ FullAncillaAllocation(coupling_map), EnlargeWithAncilla(), ApplyLayout() ] # 4. Decompose so only 1-qubit and 2-qubit gates remain _unroll3q = Unroll3qOrMore() # 5. Swap to fit the coupling map _swap_check = CheckMap(coupling_map) def _swap_condition(property_set): return not property_set['is_swap_mapped'] _swap = [BarrierBeforeFinalMeasurements()] if routing_method == 'basic': _swap += [BasicSwap(coupling_map)] elif routing_method == 'stochastic': _swap += [ StochasticSwap(coupling_map, trials=20, seed=seed_transpiler) ] elif routing_method == 'lookahead': _swap += [LookaheadSwap(coupling_map, search_depth=4, search_width=4)] else: raise TranspilerError("Invalid routing method %s." % routing_method) # 6. Unroll to the basis _unroll = Unroller(basis_gates) # 7. Fix any bad CX directions _direction_check = [CheckCXDirection(coupling_map)] def _direction_condition(property_set): return not property_set['is_direction_mapped'] _direction = [CXDirection(coupling_map)] # 8. Remove zero-state reset _reset = RemoveResetInZeroState() # 9. Merge 1q rotations and cancel CNOT gates iteratively until no more change in depth _depth_check = [Depth(), FixedPoint('depth')] def _opt_control(property_set): return not property_set['depth_fixed_point'] _opt = [Optimize1qGates(basis_gates), CXCancellation()] # Build pass manager pm1 = PassManager() if coupling_map: pm1.append(_given_layout) pm1.append(_choose_layout_and_score, condition=_choose_layout_condition) pm1.append(_improve_layout, condition=_not_perfect_yet) pm1.append(_embed) pm1.append(_unroll3q) pm1.append(_swap_check) pm1.append(_swap, condition=_swap_condition) pm1.append(_unroll) if coupling_map and not coupling_map.is_symmetric: pm1.append(_direction_check) pm1.append(_direction, condition=_direction_condition) pm1.append(_reset) pm1.append(_depth_check + _opt, do_while=_opt_control) return pm1