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THIS CLASS IS DEPRECATED.
cirq.MergeSingleQubitGates( *, rewriter: Optional[Callable[[List[ops.Operation]], Optional[ops.OP_TREE]]] = None, synthesizer: Optional[Callable[[ops.Qid, np.ndarray], Optional[ops.OP_TREE]]] = None )
IT WILL BE REMOVED IN
Use cirq.merge_k_qubit_unitaries instead.
Optimizes runs of adjacent unitary 1-qubit operations.
Specifies how to merge runs of single-qubit operations
into a more desirable form. Takes a list of operations and
produces a list of operations. The default rewriter computes the
matrix of the run and returns a
A special kind of rewriter that operates purely on
the unitary matrix of the intended operation. Takes a qubit
and a unitary matrix and returns a list of operations. Can't
be specified at the same time as
||If both a rewriter and synthesizer were specified.|
cirq.Circuit, index: int, op:
cirq.Operation) -> Optional[
Describes how to change operations near the given location.
For example, this method could realize that the given operation is an X gate and that in the very next moment there is a Z gate. It would indicate that they should be combined into a Y gate by returning PointOptimizationSummary(clear_span=2, clear_qubits=op.qubits, new_operations=cirq.Y(op.qubits))
||The circuit to improve.|
||The index of the moment with the operation to focus on.|
||The operation to focus improvements upon.|
|A description of the optimization to perform, or else None if no change should be made.|
optimize_circuit( circuit: 'cirq.Circuit' )
__call__( circuit: 'cirq.Circuit' )
Call self as a function.