def test_direction_flip(self):
""" Flip a CX
qr0:----.----
|
qr1:---(+)---
CouplingMap map: [0] -> [1]
qr0:-[H]-(+)-[H]--
|
qr1:-[H]--.--[H]--
"""
qr = QuantumRegister(2, 'qr')
circuit = QuantumCircuit(qr)
circuit.cx(qr[1], qr[0])
coupling = CouplingMap([(0, 1)])
dag = circuit_to_dag(circuit)
expected = QuantumCircuit(qr)
expected.h(qr[0])
expected.h(qr[1])
expected.cx(qr[0], qr[1])
expected.h(qr[0])
expected.h(qr[1])
pass_ = CXDirection(coupling)
after = pass_.run(dag)
self.assertEqual(circuit_to_dag(expected), after)
def default_pass_manager(transpile_config):
"""
The default pass manager that maps to the coupling map.
Args:
transpile_config (TranspileConfig)
Returns:
PassManager: A pass manager to map and optimize.
"""
basis_gates = transpile_config.basis_gates
coupling_map = transpile_config.coupling_map
initial_layout = transpile_config.initial_layout
seed_transpiler = transpile_config.seed_transpiler
pass_manager = PassManager()
pass_manager.append(SetLayout(initial_layout))
pass_manager.append(Unroller(basis_gates))
# Use the trivial layout if no layout is found
pass_manager.append(
TrivialLayout(coupling_map),
condition=lambda property_set: not property_set['layout'])
# if the circuit and layout already satisfy the coupling_constraints, use that layout
# otherwise layout on the most densely connected physical qubit subset
pass_manager.append(CheckMap(coupling_map))
pass_manager.append(
DenseLayout(coupling_map),
condition=lambda property_set: not property_set['is_swap_mapped'])
# Extend the the dag/layout with ancillas using the full coupling map
pass_manager.append(FullAncillaAllocation(coupling_map))
pass_manager.append(EnlargeWithAncilla())
# Circuit must only contain 1- or 2-qubit interactions for swapper to work
pass_manager.append(Unroll3qOrMore())
# Swap mapper
pass_manager.append(BarrierBeforeFinalMeasurements())
pass_manager.append(
LegacySwap(coupling_map, trials=20, seed=seed_transpiler))
# Expand swaps
pass_manager.append(Decompose(SwapGate))
# Change CX directions
pass_manager.append(CXDirection(coupling_map))
# Simplify single qubit gates and CXs
simplification_passes = [
Optimize1qGates(),
CXCancellation(),
RemoveResetInZeroState()
]
pass_manager.append(
simplification_passes + [Depth(), FixedPoint('depth')],
do_while=lambda property_set: not property_set['depth_fixed_point'])
return pass_manager
def swap_direction(circuit: DAGCircuit, coupling: CouplingMap):
if not coupling.is_symmetric:
cxDirection = [CXDirection(coupling)]
pass_manager = PassManager(cxDirection)
transpiled_circuit = pass_manager.run(circuit)
return transpiled_circuit
else:
return circuit
def test_preserves_conditions(self):
"""Verify CXDirection preserves conditional on CX gates.
┌───┐ ┌───┐
q_0: |0>───■────┤ X ├───■──┤ X ├
┌─┴─┐ └─┬─┘ ┌─┴─┐└─┬─┘
q_1: |0>─┤ X ├────■───┤ X ├──■──
└─┬─┘ │ └───┘
┌──┴──┐┌──┴──┐
c_0: 0 ╡ = 0 ╞╡ = 0 ╞══════════
└─────┘└─────┘
"""
qr = QuantumRegister(2, 'q')
cr = ClassicalRegister(1, 'c')
circuit = QuantumCircuit(qr, cr)
circuit.cx(qr[0], qr[1]).c_if(cr, 0)
circuit.cx(qr[1], qr[0]).c_if(cr, 0)
circuit.cx(qr[0], qr[1])
circuit.cx(qr[1], qr[0])
coupling = CouplingMap([[0, 1]])
dag = circuit_to_dag(circuit)
expected = QuantumCircuit(qr, cr)
expected.cx(qr[0], qr[1]).c_if(cr, 0)
# Ordering of u2 is important because DAG comparison will consider
# different conditional order on a creg to be a different circuit.
# See https://github.com/Qiskit/qiskit-terra/issues/3164
expected.append(U2Gate(0, pi), [[qr[1], qr[0]]]).c_if(cr, 0)
expected.cx(qr[0], qr[1]).c_if(cr, 0)
expected.append(U2Gate(0, pi), [[qr[1], qr[0]]]).c_if(cr, 0)
expected.cx(qr[0], qr[1])
expected.append(U2Gate(0, pi), [[qr[1], qr[0]]])
expected.cx(qr[0], qr[1])
expected.append(U2Gate(0, pi), [[qr[1], qr[0]]])
pass_ = CXDirection(coupling)
after = pass_.run(dag)
self.assertEqual(circuit_to_dag(expected), after)
def test_direction_correct(self):
""" The CX is in the right direction
qr0:---(+)---
|
qr1:----.----
CouplingMap map: [0] -> [1]
"""
qr = QuantumRegister(2, 'qr')
circuit = QuantumCircuit(qr)
circuit.cx(qr[0], qr[1])
coupling = CouplingMap([(0, 1)])
dag = circuit_to_dag(circuit)
pass_ = CXDirection(coupling)
after = pass_.run(dag)
self.assertEqual(dag, after)
def test_direction_error(self):
""" The mapping cannot be fixed by direction mapper
qr0:---------
qr1:---(+)---
|
qr2:----.----
CouplingMap map: [2] <- [0] -> [1]
"""
qr = QuantumRegister(3, 'qr')
circuit = QuantumCircuit(qr)
circuit.cx(qr[1], qr[2])
coupling = CouplingMap([(0, 1), (0, 2)])
dag = circuit_to_dag(circuit)
pass_ = CXDirection(coupling)
with self.assertRaises(TranspilerError):
pass_.run(dag)
def test_no_cnots(self):
""" Trivial map in a circuit without entanglement
qr0:---[H]---
qr1:---[H]---
qr2:---[H]---
CouplingMap map: None
"""
qr = QuantumRegister(3, 'qr')
circuit = QuantumCircuit(qr)
circuit.h(qr)
coupling = CouplingMap()
dag = circuit_to_dag(circuit)
pass_ = CXDirection(coupling)
after = pass_.run(dag)
self.assertEqual(dag, after)
def test_do_not_run_cxdirection_with_symmetric_cm(self):
"""When the coupling map is symmetric, do not run CXDirection."""
circ = QuantumCircuit.from_qasm_file(self._get_resource_path('example.qasm', Path.QASMS))
layout = Layout.generate_trivial_layout(*circ.qregs)
coupling_map = []
for node1, node2 in FakeRueschlikon().configuration().coupling_map:
coupling_map.append([node1, node2])
coupling_map.append([node2, node1])
cxdir_pass = CXDirection(CouplingMap(coupling_map))
with unittest.mock.patch.object(CXDirection, 'run', wraps=cxdir_pass.run) as mock_pass:
transpile(circ, coupling_map=coupling_map, initial_layout=layout)
self.assertFalse(mock_pass.called)
def test_flip_with_measure(self):
"""
qr0: -(+)-[m]-
| |
qr1: --.---|--
|
cr0: ------.--
CouplingMap map: [0] -> [1]
qr0: -[H]--.--[H]-[m]-
| |
qr1: -[H]-(+)-[H]--|--
|
cr0: --------------.--
"""
qr = QuantumRegister(2, 'qr')
cr = ClassicalRegister(1, 'cr')
circuit = QuantumCircuit(qr, cr)
circuit.cx(qr[1], qr[0])
circuit.measure(qr[0], cr[0])
coupling = CouplingMap([(0, 1)])
dag = circuit_to_dag(circuit)
expected = QuantumCircuit(qr, cr)
expected.h(qr[0])
expected.h(qr[1])
expected.cx(qr[0], qr[1])
expected.h(qr[0])
expected.h(qr[1])
expected.measure(qr[0], cr[0])
pass_ = CXDirection(coupling)
after = pass_.run(dag)
self.assertEqual(circuit_to_dag(expected), after)
def create_direction_only_pass_manager(device):
# type: (BaseBackend) -> PassManager
LOG.info("Creating direction-only PassManager for {}".format(device))
cp = CouplingMap(couplinglist=device.configuration().coupling_map)
basis = device.configuration().basis_gates
pm = PassManager()
pm.append(Unroller(basis=basis))
# noinspection PyTypeChecker
if cp.size() > 0:
pm.append(CXDirection(coupling_map=cp))
pm.append(Optimize1qGates())
return pm
def setUp(self):
coupling = [[0, 1], [1, 2], [2, 3], [3, 4], [4, 5], [5, 6]]
coupling_map = CouplingMap(couplinglist=coupling)
basis_gates = ['u1', 'u3', 'u2', 'cx']
qr = QuantumRegister(7, 'q')
layout = Layout({qr[i]: i for i in range(coupling_map.size())})
# Create a pass manager with a variety of passes and flow control structures
self.pass_manager = PassManager()
self.pass_manager.append(SetLayout(layout))
self.pass_manager.append(TrivialLayout(coupling_map), condition=lambda x: True)
self.pass_manager.append(FullAncillaAllocation(coupling_map))
self.pass_manager.append(EnlargeWithAncilla())
self.pass_manager.append(Unroller(basis_gates))
self.pass_manager.append(CheckMap(coupling_map))
self.pass_manager.append(BarrierBeforeFinalMeasurements(), do_while=lambda x: False)
self.pass_manager.append(CXDirection(coupling_map))
self.pass_manager.append(RemoveResetInZeroState())
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 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: 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
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_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
# Use the trivial layout
pm.append(TrivialLayout(coupling_map))
# Extend the the dag/layout with ancillas using the full coupling map
pm.append(FullAncillaAllocation(coupling_map))
pm.append(EnlargeWithAncilla())
# Swap mapper
pm.append(LookaheadSwap(coupling_map))
# Expand swaps
pm.append(Decompose(SwapGate))
# Simplify CXs
pm.append(CXDirection(coupling_map))
# unroll to single qubit gates
pm.append(Unroller(['u1', 'u2', 'u3', 'id', 'cx']))
qc1_new = pm.run(qc1)
qc2_new = pm.run(qc2)
print("Bell circuit before passes:")
print(qc1)
print("Bell circuit after passes:")
print(qc1_new)
print("Superposition circuit before passes:")
print(qc2)
print("Superposition circuit after passes:")
print(qc2_new)
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'
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)
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)]
else:
raise TranspilerError("Invalid routing method %s." % routing_method)
# 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)]
# 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)
return pm0
def level_2_pass_manager(pass_manager_config: PassManagerConfig) -> PassManager:
"""Level 2 pass manager: medium optimization by noise adaptive qubit mapping and
gate cancellation using commutativity rules.
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 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. 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, 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)]
# 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()
# 7. 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()]
pm2 = PassManager()
pm2.append(_unroll)
if coupling_map:
pm2.append(_given_layout)
pm2.append(CSPLayout(coupling_map, call_limit=1000, time_limit=10),
condition=_choose_layout_condition)
pm2.append(_choose_layout, condition=_choose_layout_condition)
pm2.append(_embed)
pm2.append(_swap_check)
pm2.append(_swap, condition=_swap_condition)
if 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_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
pass_manager.append([
BarrierBeforeFinalMeasurements(),
Unroll3qOrMore(),
NoiseAdaptiveSwap(coupling_map=coupling_map, backend_prop=properties),
Decompose(SwapGate)
])
def direction_condition(property_set):
return not property_set['is_direction_mapped']
if not coupling_map.is_symmetric:
pass_manager.append(CheckCXDirection(coupling_map))
pass_manager.append(CXDirection(coupling_map),
condition=direction_condition)
depth_check = [Depth(), FixedPoint('depth')]
def opt_control(property_set):
return not property_set['depth_fixed_point']
basis_gates = ['u1', 'u2', 'u3', 'cx']
opt = [
RemoveResetInZeroState(),
Collect2qBlocks(),
ConsolidateBlocks(),
Unroller(basis_gates),
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_with_contant_pure(pass_manager_config: PassManagerConfig) -> PassManager:
"""
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
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. Unroll to the basis first, to prepare for noise-adaptive layout
_unroll = Unroller(basis_gates + ['annotation'])
# 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)
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. 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()]
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)]
else:
raise TranspilerError("Invalid routing method %s." % routing_method)
# 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(basis_gates), 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
pm = PassManager()
pm.append(ConstantsStateOptimization())
pm.append(_unroll)
if coupling_map:
pm.append(_given_layout)
pm.append(_choose_layout_1, condition=_choose_layout_condition)
pm.append(_choose_layout_2, condition=_choose_layout_condition)
pm.append(_embed)
pm.append(_swap_check)
pm.append(_swap, condition=_swap_condition)
pm.append(ConstantsStateOptimization())
pm.append([Unroller(basis_gates+['swap', 'aswap', 'annotation']),
Optimize1qGates(), PureStateOnU()])
pm.append(_depth_check + _opt, do_while=_opt_control)
if coupling_map and not coupling_map.is_symmetric:
pm.append(_direction_check)
pm.append(_direction, condition=_direction_condition)
return pm
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_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. Finally, extra resets are removed.
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.
"""
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. 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(),
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()
# 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)
pm0.append(_reset)
return pm0
def level_0_pass_manager(transpile_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:
transpile_config (TranspileConfig)
Returns:
PassManager: a level 0 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
# 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()]
# 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(),
LegacySwap(coupling_map, trials=20, seed=seed_transpiler),
Decompose(SwapGate)
]
# 5. Fix any bad CX directions
# _direction_check = CheckCXDirection(coupling_map) # TODO
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)
# pm0.append(_direction_check) # TODO
pm0.append(_direction, condition=_direction_condition)
pm0.append(_reset)
return pm0
def multi_pass_manager(pass_manager_config: PassManagerConfig,
crosstalk_prop=None) -> PassManager:
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 = 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 == 'xtalk_adaptive':
_choose_layout_2 = CrosstalkAdaptiveMultiLayout(
backend_properties, crosstalk_prop=crosstalk_prop)
# elif layout_method == 'xtalk_sabre':
# _choose_layout_2 = CrosstalkSabreLayout(coupling_map, max_iterations=4, seed=seed_transpiler, crosstalk_prop=crosstalk_prop)
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)
]
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()]
if basis_gates and ('u1' in basis_gates or 'u2' in basis_gates
or 'u3' in basis_gates):
_opt = [
Collect2qBlocks(),
ConsolidateBlocks(basis_gates=basis_gates),
UnitarySynthesis(basis_gates),
Optimize1qGates(basis_gates),
CommutativeCancellation(),
]
else:
_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 += [MultiALAPSchedule(instruction_durations)]
elif scheduling_method in {'asap', 'as_soon_as_possible'}:
# _scheduling += [ASAPSchedule(instruction_durations)]
"""FIXME"""
raise TranspilerError(
"Sorry now this method is not available: %s." %
scheduling_method)
else:
raise TranspilerError("Invalid scheduling method %s." %
scheduling_method)
# Build pass manager
multi_pm = PassManager()
multi_pm.append(_unroll3q)
multi_pm.append(_reset + _meas)
if coupling_map or initial_layout:
multi_pm.append(_given_layout)
multi_pm.append(_choose_layout_1, condition=_choose_layout_condition)
multi_pm.append(_choose_layout_2, condition=_choose_layout_condition)
multi_pm.append(_embed)
multi_pm.append(_swap_check)
multi_pm.append(_swap, condition=_swap_condition)
multi_pm.append(_unroll)
multi_pm.append(_depth_check + _opt + _unroll, do_while=_opt_control)
if coupling_map and not coupling_map.is_symmetric:
multi_pm.append(_direction_check)
multi_pm.append(_direction, condition=_direction_condition)
multi_pm.append(_reset)
if scheduling_method:
multi_pm.append(_scheduling)
return multi_pm
