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#
# Licensed under the Apache License, Version 2.0 (the "License"). You
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#
# or in the "license" file accompanying this file. This file is
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import numpy as np
from braket.default_simulator.linalg_utils import multiply_matrix
from braket.default_simulator.operation import GateOperation
[docs]
def apply_operations(
state: np.ndarray, qubit_count: int, operations: list[GateOperation]
) -> np.ndarray:
"""Applies operations to a state vector one at a time.
Args:
state (np.ndarray): The state vector to apply the given operations to, as a type
(num_qubits, 0) tensor
qubit_count (int): Unused parameter; in signature for backwards-compatibility
operations (list[GateOperation]): The operations to apply to the state vector
Returns:
np.ndarray: The state vector after applying the given operations, as a type
(qubit_count, 0) tensor
"""
for operation in operations:
matrix = operation.matrix
all_targets = operation.targets
num_ctrl = len(operation._ctrl_modifiers)
control_state = operation._ctrl_modifiers
controls = all_targets[:num_ctrl]
targets = all_targets[num_ctrl:]
state = multiply_matrix(state, matrix, targets, controls, control_state)
return state