CSPLayout

class qiskit.transpiler.passes.CSPLayout(*args, **kwargs)

Bases: AnalysisPass

If possible, chooses a Layout as a CSP, using backtracking.

If not possible, does not set the layout property. In all the cases, the property CSPLayout_stop_reason will be added with one of the following values:

solution found: If a perfect layout was found.
nonexistent solution: If no perfect layout was found and every combination was checked.
call limit reached: If no perfect layout was found and the call limit was reached.
time limit reached: If no perfect layout was found and the time limit was reached.

Parameters

coupling_map (Union[CouplingMap, Target]) – Directed graph representing a coupling map.
strict_direction (bool) – If True, considers the direction of the coupling map. Default is False.
seed (int) – Sets the seed of the PRNG.
call_limit (int) – Amount of times that constraint.RecursiveBacktrackingSolver.recursiveBacktracking will be called. None means no call limit. Default: 1000.
time_limit (int) – Amount of seconds that the pass will try to find a solution. None means no time limit. Default: 10 seconds.

Attributes

is_analysis_pass

Check if the pass is an analysis pass.

If the pass is an AnalysisPass, that means that the pass can analyze the DAG and write the results of that analysis in the property set. Modifications on the DAG are not allowed by this kind of pass.

is_transformation_pass

Check if the pass is a transformation pass.

If the pass is a TransformationPass, that means that the pass can manipulate the DAG, but cannot modify the property set (but it can be read).

Methods

execute

execute(passmanager_ir, state, callback=None)

GitHub

Execute optimization task for input Qiskit IR.

Parameters

passmanager_ir (Any) – Qiskit IR to optimize.
state (PassManagerState) – State associated with workflow execution by the pass manager itself.
callback (Callable | None) – A callback function which is caller per execution of optimization task.