EmbedAllPermutationsPass

class EmbedAllPermutationsPass(input_perm=False, output_perm=True, vary_topology=True, inner_synthesis=<bqskit.passes.synthesis.leap.LEAPSynthesisPass object>, scoring_fn=<function multi_qudit_op_count>)

Bases: BasePass

Embed permutation aware synthesis results into a flow for future use.

__init__(input_perm=False, output_perm=True, vary_topology=True, inner_synthesis=<bqskit.passes.synthesis.leap.LEAPSynthesisPass object>, scoring_fn=<function multi_qudit_op_count>)

Construct a EmbedAllPermutationsPass.

Parameters:

• input_perm (bool) – If true, vary the input permutation during synthesis. (Default: False)

• output_perm (bool) – If true, vary the output permutation during synthesis. (Default: True)

• vary_topology (bool) – If true, vary the desired coupling graph during synthesis. (Default: True)

• inner_synthesis (SynthesisPass) – The synthesis algorithm used on all permutations. (Default: LEAPSynthesisPass)

• scoring_fn (Callable[[Circuit], float]) – The scoring function used when comparing the original circuit to the synthesized circuit with the same configuration. The smallest score wins. (Default: multi_qudit_op_count())

Attributes

name	The name of the pass.

Methods

execute(*args, **kwargs)	Map a function over iterable arguments in parallel.
get_connectivity(_, data)	Retrieve the current connectivity of the circuit.
get_model(_, data)	Retrieve the machine model from the data dictionary.
get_placement(_, data)	Retrieve the logical to physical qubit map from the data dictionary.
get_target(_, data)	Retrieve the target from the data dictionary.
in_parallel(data)	Return true if pass is being executed in a parallel.
run(circuit, data)	Perform the pass's operation, see BasePass for more.