bloqade.cirq_utils.parallelize.parallelize

← Module overview

functionparallelize¶source

bloqade.cirq_utils.parallelize.parallelize

Signature

def parallelize(circuit: cirq.Circuit, hyperparameters: dict[str, float] | None = None, auto_tag: bool = True) -> cirq.Circuit

Public import paths

• from bloqade.cirq_utils.noise.transform import parallelize

Use linear programming to reorder a circuit so that it may be optimally be run in parallel. This is done using a DAG representation, as well as a heuristic similarity function to group parallelizable gates together.

Extra topological information (similarity) can be used by tagging each gate with the topological basis groups that it belongs to, for example

circuit.append(cirq.H(qubits[0]).with_tags(1,2,3,4)) represents that this gate is part of the topological basis groups 1,2,3, and 4.

Returns: cirq.Circuit - the optimized circuit, where each moment is as parallel as possible. it is also broken into native CZ gate set of {CZ, PhXZ}

Parameters

Name	Type	Default	Description
circuit	cirq.Circuit	required
hyperparameters	dict[str, float] | None	None
auto_tag	bool	True

Returns

cirq.Circuit

Inputs

circuit: cirq.Circuit - the static circuit to be optimized hyperparameters: dict[str, float] - hyperparameters for the optimization

• “linear”: float (0.01) - the linear cost of each gate
• “1q”: float (1.0) - the quadratic cost of 1q gates
• “2q”: float (2.0) - the quadratic cost of 2q gates
• “tags”: float (0.5) - the default weight of the topological basis.

source