def run(self, dag: DAGCircuit) -> DAGCircuit:
"""Run the UnitarySynthesis pass on `dag`.
Args:
dag: input dag.
Returns:
Output dag with UnitaryGates synthesized to target basis.
Raises:
TranspilerError:
1. pulse_optimize is True but pulse optimal decomposition is not known
for requested basis.
2. pulse_optimize is True and natural_direction is True but a preferred
gate direction can't be determined from the coupling map or the
relative gate lengths.
"""
euler_basis = _choose_euler_basis(self._basis_gates)
kak_gate = _choose_kak_gate(self._basis_gates)
decomposer1q, decomposer2q = None, None
if euler_basis is not None:
decomposer1q = one_qubit_decompose.OneQubitEulerDecomposer(
euler_basis)
if kak_gate is not None:
decomposer2q = TwoQubitBasisDecomposer(
kak_gate,
euler_basis=euler_basis,
pulse_optimize=self._pulse_optimize)
for node in dag.named_nodes(*self._synth_gates):
if self._basis_gates and node.name in self._basis_gates:
continue
synth_dag = None
wires = None
if len(node.qargs) == 1:
if decomposer1q is None:
continue
synth_dag = circuit_to_dag(
decomposer1q._decompose(node.op.to_matrix()))
elif len(node.qargs) == 2:
if decomposer2q is None:
continue
synth_dag, wires = self._synth_natural_direction(
node, dag, decomposer2q)
else:
synth_dag = circuit_to_dag(
isometry.Isometry(node.op.to_matrix(), 0, 0).definition)
dag.substitute_node_with_dag(node, synth_dag, wires=wires)
return dag
def run(self, dag: DAGCircuit) -> DAGCircuit:
"""Run the HighLevelSynthesis pass on `dag`.
Args:
dag: input dag.
Returns:
Output dag with high level objects synthesized.
"""
for node in dag.named_nodes("clifford"):
decomposition = circuit_to_dag(decompose_clifford(node.op))
dag.substitute_node_with_dag(node, decomposition)
return dag
def run(self, dag: DAGCircuit) -> DAGCircuit:
"""Run the LinearFunctionsSynthesis pass on `dag`.
Args:
dag: input dag.
Returns:
Output dag with LinearFunctions synthesized.
"""
for node in dag.named_nodes("linear_function"):
decomposition = circuit_to_dag(node.op.definition)
dag.substitute_node_with_dag(node, decomposition)
return dag
def run(self, dag: DAGCircuit) -> DAGCircuit:
"""Run the LinearFunctionsToPermutations pass on `dag`.
Args:
dag: input dag.
Returns:
Output dag with LinearFunctions synthesized.
"""
for node in dag.named_nodes("linear_function"):
try:
pattern = node.op.permutation_pattern()
except CircuitError:
continue
permutation = Permutation(len(pattern), pattern)
dag.substitute_node(node, permutation.to_instruction())
return dag
def run(self, dag: DAGCircuit) -> DAGCircuit:
"""Run the UnitarySynthesis pass on `dag`.
Args:
dag: input dag.
Returns:
Output dag with UnitaryGates synthesized to target basis.
"""
euler_basis = _choose_euler_basis(self._basis_gates)
kak_gate = _choose_kak_gate(self._basis_gates)
decomposer1q, decomposer2q = None, None
if euler_basis is not None:
decomposer1q = one_qubit_decompose.OneQubitEulerDecomposer(
euler_basis)
if kak_gate is not None:
decomposer2q = TwoQubitBasisDecomposer(kak_gate,
euler_basis=euler_basis)
for node in dag.named_nodes("unitary"):
synth_dag = None
if len(node.qargs) == 1:
if decomposer1q is None:
continue
synth_dag = circuit_to_dag(
decomposer1q._decompose(node.op.to_matrix()))
elif len(node.qargs) == 2:
if decomposer2q is None:
continue
synth_dag = circuit_to_dag(
decomposer2q(node.op.to_matrix(),
basis_fidelity=self._approximation_degree))
else:
synth_dag = circuit_to_dag(
isometry.Isometry(node.op.to_matrix(), 0, 0).definition)
dag.substitute_node_with_dag(node, synth_dag)
return dag
def run(self, dag: DAGCircuit) -> DAGCircuit:
"""Run the UnitarySynthesis pass on `dag`.
Args:
dag: input dag.
Returns:
Output dag with UnitaryGates synthesized to target basis.
Raises:
TranspilerError: if a 'method' was specified for the class and is not
found in the installed plugins list. The list of installed
plugins can be queried with
:func:`~qiskit.transpiler.passes.synthesis.plugin.unitary_synthesis_plugin_names`
"""
if self.method not in self.plugins.ext_plugins:
raise TranspilerError(
"Specified method: %s not found in plugin list" % self.method)
default_method = self.plugins.ext_plugins["default"].obj
plugin_method = self.plugins.ext_plugins[self.method].obj
if plugin_method.supports_coupling_map:
dag_bit_indices = {bit: idx for idx, bit in enumerate(dag.qubits)}
kwargs = {}
if plugin_method.supports_basis_gates:
kwargs["basis_gates"] = self._basis_gates
if plugin_method.supports_natural_direction:
kwargs["natural_direction"] = self._natural_direction
if plugin_method.supports_pulse_optimize:
kwargs["pulse_optimize"] = self._pulse_optimize
if plugin_method.supports_gate_lengths:
kwargs["gate_lengths"] = _build_gate_lengths(self._backend_props)
if plugin_method.supports_gate_errors:
kwargs["gate_errors"] = _build_gate_errors(self._backend_props)
supported_bases = plugin_method.supported_bases
if supported_bases is not None:
kwargs["matched_basis"] = _choose_bases(self._basis_gates,
supported_bases)
# Handle approximation degree as a special case for backwards compatibility, it's
# not part of the plugin interface and only something needed for the default
# pass.
default_method._approximation_degree = self._approximation_degree
if self.method == "default":
plugin_method._approximation_degree = self._approximation_degree
for node in dag.named_nodes(*self._synth_gates):
if self._min_qubits is not None and len(
node.qargs) < self._min_qubits:
continue
if plugin_method.supports_coupling_map:
kwargs["coupling_map"] = (
self._coupling_map,
[dag_bit_indices[x] for x in node.qargs],
)
synth_dag = None
unitary = node.op.to_matrix()
n_qubits = len(node.qargs)
if (plugin_method.max_qubits is not None
and n_qubits > plugin_method.max_qubits) or (
plugin_method.min_qubits is not None
and n_qubits < plugin_method.min_qubits):
synth_dag = default_method.run(unitary, **kwargs)
else:
synth_dag = plugin_method.run(unitary, **kwargs)
if synth_dag is not None:
if isinstance(synth_dag, tuple):
dag.substitute_node_with_dag(node,
synth_dag[0],
wires=synth_dag[1])
else:
dag.substitute_node_with_dag(node, synth_dag)
return dag
def run(self, dag: DAGCircuit) -> DAGCircuit:
"""Run the UnitarySynthesis pass on `dag`.
Args:
dag: input dag.
Returns:
Output dag with UnitaryGates synthesized to target basis.
Raises:
TranspilerError: if a 'method' was specified for the class and is not
found in the installed plugins list. The list of installed
plugins can be queried with
:func:`~qiskit.transpiler.passes.synthesis.plugin.unitary_synthesis_plugin_names`
"""
if self.method not in self.plugins.ext_plugins:
raise TranspilerError(
"Specified method: %s not found in plugin list" % self.method)
# Return fast if we have no synth gates (ie user specified an empty
# list or the synth gates are all in the basis
if not self._synth_gates:
return dag
plugin_method = self.plugins.ext_plugins[self.method].obj
plugin_kwargs = {"config": self._plugin_config}
_gate_lengths = _gate_errors = None
dag_bit_indices = {}
if self.method == "default":
# If the method is the default, we only need to evaluate one set of keyword arguments.
# To simplify later logic, and avoid cases where static analysis might complain that we
# haven't initialised the "default" handler, we rebind the names so they point to the
# same object as the chosen method.
default_method = plugin_method
default_kwargs = plugin_kwargs
method_list = [(plugin_method, plugin_kwargs)]
else:
# If the method is not the default, we still need to initialise the default plugin's
# keyword arguments in case we have to fall back on it during the actual run.
default_method = self.plugins.ext_plugins["default"].obj
default_kwargs = {}
method_list = [(plugin_method, plugin_kwargs),
(default_method, default_kwargs)]
for method, kwargs in method_list:
if method.supports_basis_gates:
kwargs["basis_gates"] = self._basis_gates
if method.supports_coupling_map:
dag_bit_indices = dag_bit_indices or {
bit: i
for i, bit in enumerate(dag.qubits)
}
if method.supports_natural_direction:
kwargs["natural_direction"] = self._natural_direction
if method.supports_pulse_optimize:
kwargs["pulse_optimize"] = self._pulse_optimize
if method.supports_gate_lengths:
_gate_lengths = _gate_lengths or _build_gate_lengths(
self._backend_props, self._target)
kwargs["gate_lengths"] = _gate_lengths
if method.supports_gate_errors:
_gate_errors = _gate_errors or _build_gate_errors(
self._backend_props, self._target)
kwargs["gate_errors"] = _gate_errors
supported_bases = method.supported_bases
if supported_bases is not None:
kwargs["matched_basis"] = _choose_bases(
self._basis_gates, supported_bases)
if method.supports_target:
kwargs["target"] = self._target
# Handle approximation degree as a special case for backwards compatibility, it's
# not part of the plugin interface and only something needed for the default
# pass.
default_method._approximation_degree = self._approximation_degree
if self.method == "default":
plugin_method._approximation_degree = self._approximation_degree
for node in dag.named_nodes(*self._synth_gates):
if self._min_qubits is not None and len(
node.qargs) < self._min_qubits:
continue
synth_dag = None
unitary = node.op.to_matrix()
n_qubits = len(node.qargs)
if (plugin_method.max_qubits is not None
and n_qubits > plugin_method.max_qubits) or (
plugin_method.min_qubits is not None
and n_qubits < plugin_method.min_qubits):
method, kwargs = default_method, default_kwargs
else:
method, kwargs = plugin_method, plugin_kwargs
if method.supports_coupling_map:
kwargs["coupling_map"] = (
self._coupling_map,
[dag_bit_indices[x] for x in node.qargs],
)
synth_dag = method.run(unitary, **kwargs)
if synth_dag is not None:
if isinstance(synth_dag, tuple):
dag.substitute_node_with_dag(node,
synth_dag[0],
wires=synth_dag[1])
else:
dag.substitute_node_with_dag(node, synth_dag)
return dag