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Merge branch 'master' into ad/deprecate-legacy-devices
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Shiro-Raven authored Jul 24, 2024
2 parents 4a2d5e8 + 4d16acb commit fa8d10a
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5 changes: 4 additions & 1 deletion doc/releases/changelog-dev.md
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<h3>Improvements 🛠</h3>

* Added the `compute_sparse_matrix` method for `qml.ops.qubit.BasisStateProjector`.
[(#5790)](https://github.com/PennyLaneAI/pennylane/pull/5790)

* `StateMP.process_state` defines rules in `cast_to_complex` for complex casting, avoiding a superfluous state vector copy in Lightning simulations
[(#5995)](https://github.com/PennyLaneAI/pennylane/pull/5995)

Expand Down Expand Up @@ -225,9 +228,9 @@ Josh Izaac,
Soran Jahangiri,
Christina Lee,
Austin Huang,
Christina Lee,
William Maxwell,
Vincent Michaud-Rioux,
Anurav Modak,
Mudit Pandey,
Erik Schultheis,
nate stemen.
18 changes: 18 additions & 0 deletions pennylane/ops/qubit/observables.py
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Expand Up @@ -584,6 +584,24 @@ def compute_diagonalizing_gates(
"""
return []

@staticmethod
def compute_sparse_matrix(basis_state): # pylint: disable=arguments-differ,unused-argument
"""
Computes the sparse CSR matrix representation of the projector onto the basis state.
Args:
basis_state (Iterable): The basis state as an iterable of integers (0 or 1).
Returns:
scipy.sparse.csr_matrix: The sparse CSR matrix representation of the projector.
"""

num_qubits = len(basis_state)
data = [1]
rows = [int("".join(str(bit) for bit in basis_state), 2)]
cols = rows
return csr_matrix((data, (rows, cols)), shape=(2**num_qubits, 2**num_qubits))


class StateVectorProjector(Projector):
r"""Observable corresponding to the state projector :math:`P=\ket{\phi}\bra{\phi}`, where
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70 changes: 70 additions & 0 deletions tests/ops/qubit/test_observables.py
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Expand Up @@ -19,6 +19,7 @@
import numpy as np
import pytest
from gate_data import H, I, X, Y, Z
from scipy.sparse import csr_matrix

import pennylane as qml
from pennylane.ops.qubit.observables import BasisStateProjector, StateVectorProjector
Expand Down Expand Up @@ -540,6 +541,75 @@ def test_serialization(self):
qml.assert_equal(new_proj, proj)
assert new_proj.id == proj.id # Ensure they are identical

def test_single_qubit_basis_state_0(self):
"""Tests the function with a single-qubit basis state |0>."""
basis_state = [0]
data = [1]
row_indices = [0]
col_indices = [0]
expected_matrix = csr_matrix((data, (row_indices, col_indices)), shape=(2, 2))

actual_matrix = BasisStateProjector.compute_sparse_matrix(basis_state)
actual_matrix = BasisStateProjector.compute_sparse_matrix(basis_state)

assert np.array_equal(expected_matrix.toarray(), actual_matrix.toarray())

def test_single_qubit_basis_state_1(self):
"""Tests the function with a single-qubit basis state |1>."""
basis_state = [1]
data = [1]
row_indices = [1]
col_indices = [1]
expected_matrix = csr_matrix((data, (row_indices, col_indices)), shape=(2, 2))
actual_matrix = BasisStateProjector.compute_sparse_matrix(basis_state)
assert np.array_equal(expected_matrix.toarray(), actual_matrix.toarray())

def test_two_qubit_basis_state_10(self):
"""Tests the function with a two-qubits basis state |10>."""
basis_state = [1, 0]
data = [1]
row_indices = [2]
col_indices = [2]
expected_matrix = csr_matrix((data, (row_indices, col_indices)), shape=(4, 4))
actual_matrix = BasisStateProjector.compute_sparse_matrix(basis_state)
assert np.array_equal(expected_matrix.toarray(), actual_matrix.toarray())

def test_two_qubit_basis_state_01(self):
"""Tests the function with a two-qubits basis state |01>."""
basis_state = [0, 1]
data = [1]
row_indices = [1]
col_indices = [1]
expected_matrix = csr_matrix((data, (row_indices, col_indices)), shape=(4, 4))
actual_matrix = BasisStateProjector.compute_sparse_matrix(basis_state)
assert np.array_equal(expected_matrix.toarray(), actual_matrix.toarray())

def test_two_qubit_basis_state_11(self):
"""Tests the function with a two-qubits basis state |11>."""
basis_state = [1, 1]
data = [1]
row_indices = [3]
col_indices = [3]
expected_matrix = csr_matrix((data, (row_indices, col_indices)), shape=(4, 4))
actual_matrix = BasisStateProjector.compute_sparse_matrix(basis_state)
assert np.array_equal(expected_matrix.toarray(), actual_matrix.toarray())

def test_three_qubit_basis_state_101(self):
"""Tests the function with a three-qubits basis state |101>."""
basis_state = [1, 0, 1]
data = [1]
row_indices = [5]
col_indices = [5]
expected_matrix = csr_matrix((data, (row_indices, col_indices)), shape=(8, 8))
actual_matrix = BasisStateProjector.compute_sparse_matrix(basis_state)
assert np.array_equal(expected_matrix.toarray(), actual_matrix.toarray())

def test_invalid_basis_state(self):
"""Tests the function with an invalid state."""
basis_state = [0, 2] # Invalid basis state
with pytest.raises(ValueError):
BasisStateProjector.compute_sparse_matrix(basis_state)

@pytest.mark.jax
def test_jit_measurement(self):
"""Test that the measurement of a projector can be jitted."""
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