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Optimizes runs of adjacent unitary 1-qubit operations.
Inherits From: PointOptimizer
cirq.optimizers.MergeSingleQubitGates(
*,
rewriter: Optional[Callable[[List[ops.Operation]], Optional[ops.OP_TREE]]] = None,
synthesizer: Optional[Callable[[ops.Qid, np.ndarray], Optional[ops.OP_TREE]]] = None
)
Used in the notebooks
Used in the tutorials |
---|
Methods
optimization_at
optimization_at(
circuit: cirq.circuits.Circuit
,
index: int,
op: cirq.ops.Operation
) -> Optional[cirq.circuits.PointOptimizationSummary
]
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[0]))
Args | |
---|---|
circuit
|
The circuit to improve. |
index
|
The index of the moment with the operation to focus on. |
op
|
The operation to focus improvements upon. |
Returns | |
---|---|
A description of the optimization to perform, or else None if no change should be made. |
optimize_circuit
optimize_circuit(
circuit: cirq.circuits.Circuit
)
__call__
__call__(
circuit: cirq.circuits.Circuit
)
Call self as a function.