Source code for pennylane.transforms.optimization.remove_barrier

# Copyright 2018-2021 Xanadu Quantum Technologies Inc.

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"""Transform for removing the Barrier gate from quantum circuits."""
# pylint: disable=too-many-branches
from pennylane import apply
from pennylane.transforms import qfunc_transform


[docs]@qfunc_transform def remove_barrier(tape): """Quantum function transform to remove Barrier gates. Args: qfunc (function): A quantum function. Returns: function: the transformed quantum function **Example** Consider the following quantum function: .. code-block:: python def qfunc(x, y): qml.Hadamard(wires=0) qml.Hadamard(wires=1) qml.Barrier(wires=[0,1]) qml.PauliX(wires=0) return qml.expval(qml.PauliZ(0)) The circuit before optimization: >>> dev = qml.device('default.qubit', wires=2) >>> qnode = qml.QNode(qfunc, dev) >>> print(qml.draw(qnode)(1, 2)) 0: ──H──╭||──X──┤ ⟨Z⟩ 1: ──H──╰||─────┤ We can remove the Barrier by running the ``remove_barrier`` transform: >>> optimized_qfunc = remove_barrier(qfunc) >>> optimized_qnode = qml.QNode(optimized_qfunc, dev) >>> print(qml.draw(optimized_qnode)(1, 2)) 0: ──H──X──┤ ⟨Z⟩ 1: ──H─────┤ """ # Make a working copy of the list to traverse list_copy = tape.operations.copy() while len(list_copy) > 0: current_gate = list_copy[0] # Remove Barrier gate if current_gate.name != "Barrier": apply(current_gate) list_copy.pop(0) continue # Queue the measurements normally for m in tape.measurements: apply(m)