Source code for loom.interpreter.applicator.measure_logical_pauli

"""
Copyright 2024 Entropica Labs Pte Ltd

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

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

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

"""

from loom.eka import Circuit
from loom.eka.operations import (
    MeasureLogicalX,
    MeasureLogicalY,
    MeasureLogicalZ,
    LogicalMeasurement,
)

from .generate_syndromes import generate_syndromes
from .generate_detectors import generate_detectors
from ..interpretation_step import InterpretationStep
from ..logical_observable import LogicalObservable


[docs] def measurelogicalpauli( interpretation_step: InterpretationStep, operation: MeasureLogicalX | MeasureLogicalY | MeasureLogicalZ, same_timeslice: bool, debug_mode: bool, # pylint: disable=unused-argument ) -> InterpretationStep: """ Measure a logical Pauli operator. Y logical measurements are not supported yet. The algorithm is the following: - A.) Measure all data qubits in the block - B.) Update Syndromes for all stabilizers involved in the data qubits measured - C.) Create the logical observable including measured data qubits and all \ previous corrections Parameters ---------- interpretation_step : InterpretationStep The interpretation step to which the operation should be applied. operation : MeasureLogicalX | MeasureLogicalY | MeasureLogicalZ The operation to be applied, can either be a logical X, Y or Z measurement. same_timeslice : bool Flag indicating whether the operation is part of the same timestep as the previous operation. debug_mode : bool Flag indicating whether the interpretation should be done in debug mode. Activating debug mode will enable commutation validation for Block. Returns ------- InterpretationStep New InterpretationStep containing all modifications due to the logical pauli measurement. """ block = interpretation_step.get_block(operation.input_block_name) logical_qubit_index = operation.logical_qubit # Check for correct operation match operation.__class__.__name__: case "MeasureLogicalX": basis = "X" case "MeasureLogicalY": raise ValueError("Logical measurement in Y basis is not supported") case "MeasureLogicalZ": basis = "Z" case _: raise ValueError(f"Operation {operation.__class__.__name__} not supported") # 1 - Measure all data qubits in a block and keep track of the Cbits meas_circuit_seq = [] # Add Hadamard layer for X basis if basis == "X": hadamard_layer = [ Circuit( "H", channels=interpretation_step.get_channel_MUT(str(q), "quantum") ) for q in block.data_qubits ] meas_circuit_seq += [hadamard_layer] # Create the measurement layer in Z basis cbit_labels = [f"c_{qubit}" for qubit in block.data_qubits] measurements = tuple( interpretation_step.get_new_cbit_MUT(label) for label in cbit_labels ) measurement_layer = [ Circuit( "measurement", channels=[ interpretation_step.get_channel_MUT( str(qubit), "quantum" ), # qubit to measure interpretation_step.get_channel_MUT( f"{cbit[0]}_{cbit[1]}", "classical" ), # associated classical bit ], ) for qubit, cbit in zip(block.data_qubits, measurements, strict=True) ] meas_circuit_seq += [measurement_layer] meas_circuit = Circuit( f"Measure logical {basis} of {block.unique_label}", circuit=meas_circuit_seq ) # Append the circuit interpretation_step.append_circuit_MUT(meas_circuit, same_timeslice) # 2 - Update Syndromes for all stabilizers involved in the data qubits measured # Only use the stabilizers of the right pauli type relevant_stabs = [stab for stab in block.stabilizers if set(stab.pauli) == {basis}] # Get the classical bits associated with these stabilizers stab_cbits = [ [ cbit for cbit in measurements if cbit[0].split("_")[1] in map(str, stab.data_qubits) ] for stab in relevant_stabs ] # Create new Syndromes from these measurements new_syndromes = generate_syndromes( interpretation_step, relevant_stabs, block, stab_cbits ) # Create Detectors for the new syndromes new_detectors = generate_detectors(interpretation_step, new_syndromes) # 3 - Create the logical observable including measured # data qubits and all previous corrections if basis == "X": logical_qubit = block.logical_x_operators[logical_qubit_index] operator_updates = interpretation_step.logical_x_operator_updates else: logical_qubit = block.logical_z_operators[logical_qubit_index] operator_updates = interpretation_step.logical_z_operator_updates corrections = list(operator_updates.get(logical_qubit.uuid, ())) qubits_in_logical = [str(q) for q in logical_qubit.data_qubits] logical_measurements = [ cbit for cbit in measurements if cbit[0].split("_")[1] in qubits_in_logical ] logical_observable = LogicalObservable( label=f"{block.unique_label}_{basis}_{logical_qubit_index}", measurements=logical_measurements + corrections, ) interpretation_step.logical_measurements[ LogicalMeasurement(blocks=(block.unique_label,), observable=basis) ] = tuple(logical_measurements + corrections) interpretation_step.append_detectors_MUT(new_detectors) interpretation_step.append_syndromes_MUT(new_syndromes) interpretation_step.logical_observables += (logical_observable,) return interpretation_step