Source code for pennylane.transforms.combine_global_phases

# Copyright 2018-2024 Xanadu Quantum Technologies Inc.

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#     http://www.apache.org/licenses/LICENSE-2.0

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"""
Provides a transform to combine all ``qp.GlobalPhase`` gates in a circuit into a single one applied at the end.
"""

from functools import partial

import pennylane as qp
from pennylane.tape import QuantumScript, QuantumScriptBatch
from pennylane.transforms import transform
from pennylane.typing import PostprocessingFn


def _combine_global_phases_setup_inputs():
    return (), {}


[docs] @partial( transform, pass_name="combine-global-phases", setup_inputs=_combine_global_phases_setup_inputs ) def combine_global_phases(tape: QuantumScript) -> tuple[QuantumScriptBatch, PostprocessingFn]: """Combine all ``qp.GlobalPhase`` gates into a single ``qp.GlobalPhase`` operation. This transform returns a new circuit where all ``qp.GlobalPhase`` gates in the original circuit (if exists) are removed, and a new ``qp.GlobalPhase`` is added at the end of the list of operations with its phase being a total global phase computed as the algebraic sum of all global phases in the original circuit. Args: tape (QNode or QuantumScript or Callable): the input circuit to be transformed. Returns: qnode (QNode) or quantum function (Callable) or tuple[List[QuantumScript], function]: the transformed circuit as described in :func:`qp.transform <pennylane.transform>`. **Example** Suppose we want to combine all the global phase gates in a given quantum circuit. The ``combine_global_phases`` transform can be used to do this as follows: .. code-block:: python dev = qp.device("default.qubit", wires=3) @qp.transforms.combine_global_phases @qp.qnode(dev) def circuit(): qp.GlobalPhase(0.3, wires=0) qp.PauliY(wires=0) qp.Hadamard(wires=1) qp.CNOT(wires=(1,2)) qp.GlobalPhase(0.46, wires=2) return qp.expval(qp.X(0) @ qp.Z(1)) To check the result, let's print out the circuit: >>> print(qp.draw(circuit)()) 0: ──Y────╭GlobalPhase(0.76)─┤ ╭<X@Z> 1: ──H─╭●─├GlobalPhase(0.76)─┤ ╰<X@Z> 2: ────╰X─╰GlobalPhase(0.76)─┤ .. details:: :title: Usage with qjit There are two key differences to note when using ``combine_global_phases`` with ``qjit``: * ``combine_global_phases`` must be applied to a QNode. Quantum functions are not supported as input. * When used with ``qjit``, the ``combine_global_phases`` compilation pass will merge operations surrounding control flow together, while those within the control flow are merged together separately (i.e., no formal loop-boundary optimizations). Consider the following example: .. code-block:: python import pennylane as qp n = 3 dev = qp.device('null.qubit', wires=n) @qp.qjit(keep_intermediate=True, capture=True) @qp.transforms.combine_global_phases @qp.qnode(dev) def circuit(): qp.GlobalPhase(0.1, wires = 2) qp.X(n-1) qp.GlobalPhase(0.1, wires = 1) qp.H(n-2) @qp.for_loop(0, 2) def loop(i): qp.GlobalPhase(0.1967, wires=i) qp.GlobalPhase(0.7691, wires=i) loop() qp.GlobalPhase(0.1, wires=0) qp.GlobalPhase(0.1, wires=0) return qp.expval(qp.Z(0)) The two ``GlobalPhase`` operations within the ``for_loop`` context will be merged together. However, they will not be merged together with the ``GlobalPhase`` operations that occur before and after the ``for_loop``. This behaviour is shown in the image below, where the application of ``combine_global_phases`` results in two ``GlobalPhase`` instances (one inside of a ``for_loop`` and the other from the ``GlobalPhase`` instances outside of the ``for_loop``). >>> qp.specs(circuit, level="device")().resources.gate_counts {'GlobalPhase': 3, 'Hadamard': 1, 'PauliX': 1} >>> print(qp.draw_graph(circuit)()) # doctest: +SKIP .. figure:: ../../_static/catalyst-combine-global-phases-example.png :align: left """ has_global_phase = False phi = 0 operations = [] for op in tape.operations: if isinstance(op, qp.GlobalPhase): has_global_phase = True phi += op.parameters[0] else: operations.append(op) if has_global_phase: with qp.QueuingManager.stop_recording(): operations.append(qp.GlobalPhase(phi=phi)) new_tape = tape.copy(operations=operations) def null_postprocessing(results): """A postprocessing function returned by a transform that only converts the batch of results into a result for a single ``QuantumScript``. """ return results[0] return (new_tape,), null_postprocessing