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density_matrix_simulation_state_test.py
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density_matrix_simulation_state_test.py
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# Copyright 2021 The Cirq Developers
#
# 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
#
# https://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.
import numpy as np
import pytest
import cirq
def test_default_parameter():
qid_shape = (2,)
tensor = cirq.to_valid_density_matrix(
0, len(qid_shape), qid_shape=qid_shape, dtype=np.complex64
)
args = cirq.DensityMatrixSimulationState(qubits=cirq.LineQubit.range(1), initial_state=0)
np.testing.assert_almost_equal(args.target_tensor, tensor)
assert len(args.available_buffer) == 3
for buffer in args.available_buffer:
assert buffer.shape == tensor.shape
assert buffer.dtype == tensor.dtype
assert args.qid_shape == qid_shape
def test_shallow_copy_buffers():
args = cirq.DensityMatrixSimulationState(qubits=cirq.LineQubit.range(1), initial_state=0)
copy = args.copy(deep_copy_buffers=False)
assert copy.available_buffer is args.available_buffer
def test_decomposed_fallback():
class Composite(cirq.Gate):
def num_qubits(self) -> int:
return 1
def _decompose_(self, qubits):
yield cirq.X(*qubits)
args = cirq.DensityMatrixSimulationState(
qubits=cirq.LineQubit.range(1),
prng=np.random.RandomState(),
initial_state=0,
dtype=np.complex64,
)
cirq.act_on(Composite(), args, cirq.LineQubit.range(1))
np.testing.assert_allclose(
args.target_tensor, cirq.one_hot(index=(1, 1), shape=(2, 2), dtype=np.complex64)
)
def test_cannot_act():
class NoDetails:
pass
args = cirq.DensityMatrixSimulationState(
qubits=cirq.LineQubit.range(1),
prng=np.random.RandomState(),
initial_state=0,
dtype=np.complex64,
)
with pytest.raises(TypeError, match="Can't simulate operations"):
cirq.act_on(NoDetails(), args, qubits=())
def test_qid_shape_error():
with pytest.raises(ValueError, match="qid_shape must be provided"):
cirq.sim.density_matrix_simulation_state._BufferedDensityMatrix.create(initial_state=0)
def test_initial_state_vector():
qubits = cirq.LineQubit.range(3)
args = cirq.DensityMatrixSimulationState(
qubits=qubits, initial_state=np.full((8,), 1 / np.sqrt(8)), dtype=np.complex64
)
assert args.target_tensor.shape == (2, 2, 2, 2, 2, 2)
args2 = cirq.DensityMatrixSimulationState(
qubits=qubits, initial_state=np.full((2, 2, 2), 1 / np.sqrt(8)), dtype=np.complex64
)
assert args2.target_tensor.shape == (2, 2, 2, 2, 2, 2)
def test_initial_state_matrix():
qubits = cirq.LineQubit.range(3)
args = cirq.DensityMatrixSimulationState(
qubits=qubits, initial_state=np.full((8, 8), 1 / 8), dtype=np.complex64
)
assert args.target_tensor.shape == (2, 2, 2, 2, 2, 2)
args2 = cirq.DensityMatrixSimulationState(
qubits=qubits, initial_state=np.full((2, 2, 2, 2, 2, 2), 1 / 8), dtype=np.complex64
)
assert args2.target_tensor.shape == (2, 2, 2, 2, 2, 2)
def test_initial_state_bad_shape():
qubits = cirq.LineQubit.range(3)
with pytest.raises(ValueError, match="Invalid quantum state"):
cirq.DensityMatrixSimulationState(
qubits=qubits, initial_state=np.full((4,), 1 / 2), dtype=np.complex64
)
with pytest.raises(ValueError, match="Invalid quantum state"):
cirq.DensityMatrixSimulationState(
qubits=qubits, initial_state=np.full((2, 2), 1 / 2), dtype=np.complex64
)
with pytest.raises(ValueError, match="Invalid quantum state"):
cirq.DensityMatrixSimulationState(
qubits=qubits, initial_state=np.full((4, 4), 1 / 4), dtype=np.complex64
)
with pytest.raises(ValueError, match="Invalid quantum state"):
cirq.DensityMatrixSimulationState(
qubits=qubits, initial_state=np.full((2, 2, 2, 2), 1 / 4), dtype=np.complex64
)
def test_remove_qubits():
"""Test the remove_qubits method."""
q1 = cirq.LineQubit(0)
q2 = cirq.LineQubit(1)
state = cirq.DensityMatrixSimulationState(qubits=[q1, q2])
new_state = state.remove_qubits([q1])
assert len(new_state.qubits) == 1
assert q1 not in new_state.qubits