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Provides `AerDensityMatrix` that inherits `qiskit.quantum_info.states.DensityMatrix` with Aer's kernel to calculate density matrix for a `QuantumCircuit`. * Implement AerDensityMatrix and its tests * Add a release note * Add 2023 to Copyright * Update explanation for data * Fix lint errors * Fix a lint error * Set different seed for each sampling in AerDensityMatrix
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""" | ||
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from .states import AerStatevector | ||
from .states import AerDensityMatrix |
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# This code is part of Qiskit. | ||
# | ||
# (C) Copyright IBM 2017, 2019, 2020, 2021, 2022, 2023. | ||
# | ||
# This code is licensed under the Apache License, Version 2.0. You may | ||
# obtain a copy of this license in the LICENSE.txt file in the root directory | ||
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. | ||
# | ||
# Any modifications or derivative works of this code must retain this | ||
# copyright notice, and modified files need to carry a notice indicating | ||
# that they have been altered from the originals. | ||
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""" | ||
DensityMatrix quantum state class. | ||
""" | ||
import copy | ||
import numpy as np | ||
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from qiskit.circuit import QuantumCircuit, Instruction | ||
from qiskit.exceptions import QiskitError | ||
from qiskit.quantum_info.states import DensityMatrix | ||
from qiskit.quantum_info.operators.predicates import is_hermitian_matrix | ||
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from qiskit_aer import AerSimulator | ||
from .aer_statevector import AerStatevector | ||
from .aer_state import AerState | ||
from ...backends.aerbackend import AerError | ||
from ...backends.backend_utils import BASIS_GATES | ||
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class AerDensityMatrix(DensityMatrix): | ||
"""AerDensityMatrix class | ||
This class inherits :class:`DensityMatrix`. | ||
""" | ||
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def __init__(self, data, dims=None, **configs): | ||
""" | ||
Args: | ||
data (np.array or list or Statevector or AerStatevector or DensityMatrix or | ||
AerDensityMatrix or QuantumCircuit or qiskit.circuit.Instruction): | ||
Data from which the densitymatrix can be constructed. This can be either a complex | ||
vector, another densitymatrix or statevector or a ``QuantumCircuit`` or | ||
``Instruction`` (``Operator`` is not supportted in the current implementation). | ||
If the data is a circuit or instruction, the densitymatrix is constructed by | ||
assuming that all qubits are initialized to the zero state. | ||
dims (int or tuple or list): Optional. The subsystem dimension of | ||
the state (See additional information). | ||
configs (kwargs): configurations of :class:`AerDensityMatrix`. `_aer_state` and `method` | ||
are valid. | ||
Raises: | ||
AerError: if input data is not valid. | ||
Additional Information: | ||
The ``dims`` kwarg is used to ``AerDensityMatrix`` constructor. | ||
""" | ||
if '_aer_state' in configs: | ||
self._aer_state = configs.pop('_aer_state') | ||
else: | ||
if 'method' not in configs: | ||
configs['method'] = 'density_matrix' | ||
elif configs['method'] != 'density_matrix': | ||
method = configs['method'] | ||
raise AerError(f'Method {method} is not supported') | ||
if isinstance(data, (QuantumCircuit, Instruction)): | ||
data, aer_state = AerDensityMatrix._from_instruction(data, None, configs) | ||
elif isinstance(data, list): | ||
data = self._from_1d_array(np.array(data, dtype=complex)) | ||
data, aer_state = AerDensityMatrix._from_ndarray(data, configs) | ||
elif isinstance(data, np.ndarray): | ||
data = self._from_1d_array(data) | ||
data, aer_state = AerDensityMatrix._from_ndarray(data, configs) | ||
elif isinstance(data, AerDensityMatrix): | ||
aer_state = data._aer_state | ||
if dims is None: | ||
dims = data._op_shape._dims_l | ||
data = data._data.copy() | ||
elif isinstance(data, DensityMatrix): | ||
data, aer_state = AerDensityMatrix._from_ndarray(np.array(data.data, | ||
dtype=complex), configs) | ||
elif hasattr(data, 'to_operator'): | ||
# If the data object has a 'to_operator' attribute this is given | ||
# higher preference than the 'to_matrix' method for initializing | ||
# an Operator object. | ||
op = data.to_operator() | ||
data, aer_state = AerDensityMatrix._from_ndarray(op.data, configs) | ||
if dims is None: | ||
dims = op.output_dims() | ||
elif hasattr(data, 'to_matrix'): | ||
# If no 'to_operator' attribute exists we next look for a | ||
# 'to_matrix' attribute to a matrix that will be cast into | ||
# a complex numpy matrix. | ||
data, aer_state = AerDensityMatrix._from_ndarray( | ||
np.asarray(data.to_matrix(), dtype=complex), configs) | ||
else: | ||
raise AerError(f'Input data is not supported: type={data.__class__}, data={data}') | ||
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self._aer_state = aer_state | ||
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super().__init__(data, dims=dims) | ||
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self._result = None | ||
self._configs = configs | ||
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def seed(self, value=None): | ||
"""Set the seed for the quantum state RNG.""" | ||
if value is None or isinstance(value, int): | ||
self._aer_state.set_seed(value) | ||
else: | ||
raise AerError(f'This seed is not supported: type={value.__class__}, value={value}') | ||
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def _last_result(self): | ||
if self._result is None: | ||
self._result = self._aer_state.last_result() | ||
return self._result | ||
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def metadata(self): | ||
"""Return result metadata of an operation that executed lastly.""" | ||
if self._last_result() is None: | ||
raise AerError('AerState was not used and metdata does not exist.') | ||
return self._last_result()['metadata'] | ||
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def __copy__(self): | ||
return copy.deepcopy(self) | ||
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def __deepcopy__(self, _memo=None): | ||
ret = AerDensityMatrix(self._data.copy(), **self._configs) | ||
ret._op_shape = copy.deepcopy(self._op_shape) | ||
ret._rng_generator = copy.deepcopy(self._rng_generator) | ||
return ret | ||
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def conjugate(self): | ||
return AerDensityMatrix(np.conj(self._data), dims=self.dims()) | ||
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def tensor(self, other): | ||
"""Return the tensor product state self ⊗ other. | ||
Args: | ||
other (AerDensityMatrix): a quantum state object. | ||
Returns: | ||
AerDensityMatrix: the tensor product operator self ⊗ other. | ||
Raises: | ||
QiskitError: if other is not a quantum state. | ||
""" | ||
if not isinstance(other, AerDensityMatrix): | ||
other = AerDensityMatrix(other) | ||
ret = copy.copy(self) | ||
ret._data = np.kron(self._data, other._data) | ||
ret._op_shape = self._op_shape.tensor(other._op_shape) | ||
return ret | ||
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def expand(self, other): | ||
"""Return the tensor product state other ⊗ self. | ||
Args: | ||
other (AerDensityMatrix): a quantum state object. | ||
Returns: | ||
AerDensityMatrix: the tensor product state other ⊗ self. | ||
Raises: | ||
QiskitError: if other is not a quantum state. | ||
""" | ||
if not isinstance(other, AerDensityMatrix): | ||
other = AerDensityMatrix(other) | ||
ret = copy.copy(self) | ||
ret._data = np.kron(other._data, self._data) | ||
ret._op_shape = self._op_shape.expand(other._op_shape) | ||
return ret | ||
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def _add(self, other): | ||
"""Return the linear combination self + other. | ||
Args: | ||
other (AerDensityMatrix): a quantum state object. | ||
Returns: | ||
AerDensityMatrix: the linear combination self + other. | ||
Raises: | ||
QiskitError: if other is not a quantum state, or has | ||
incompatible dimensions. | ||
""" | ||
if not isinstance(other, AerDensityMatrix): | ||
other = AerDensityMatrix(other) | ||
self._op_shape._validate_add(other._op_shape) | ||
ret = copy.copy(self) | ||
ret._data = self.data + other.data | ||
return ret | ||
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def sample_memory(self, shots, qargs=None): | ||
if qargs is None: | ||
qubits = np.arange(self._aer_state.num_qubits) | ||
else: | ||
qubits = np.array(qargs) | ||
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self._aer_state.close() | ||
self._aer_state.renew() | ||
self._aer_state.initialize(self._data, copy=False) | ||
samples = self._aer_state.sample_memory(qubits, shots) | ||
self._data = self._aer_state.move_to_ndarray() | ||
return samples | ||
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@staticmethod | ||
def _from_1d_array(data): | ||
# Convert statevector into a density matrix | ||
ndim = data.ndim | ||
shape = data.shape | ||
if ndim == 2 and shape[0] == shape[1]: | ||
pass # We good | ||
elif ndim == 1: | ||
data = np.outer(data, np.conj(data)) | ||
elif ndim == 2 and shape[1] == 1: | ||
data = np.reshape(data, shape[0]) | ||
else: | ||
raise QiskitError("Invalid AerDensityMatrix input: not a square matrix.") | ||
return data | ||
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@staticmethod | ||
def _from_ndarray(init_data, configs): | ||
aer_state = AerState(method='density_matrix') | ||
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options = AerSimulator._default_options() | ||
for config_key, config_value in configs.items(): | ||
if options.get(config_key): | ||
aer_state.configure(config_key, config_value) | ||
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if len(init_data) == 0: | ||
raise AerError('initial data must be larger than 0') | ||
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num_qubits = int(np.log2(len(init_data))) | ||
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aer_state.allocate_qubits(num_qubits) | ||
aer_state.initialize(data=init_data) | ||
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return aer_state.move_to_ndarray(), aer_state | ||
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@classmethod | ||
def from_instruction(cls, instruction): | ||
return AerDensityMatrix(instruction) | ||
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@staticmethod | ||
def _from_instruction(inst, init_data, configs): | ||
aer_state = AerState(method='density_matrix') | ||
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for config_key, config_value in configs.items(): | ||
aer_state.configure(config_key, config_value) | ||
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basis_gates = BASIS_GATES['density_matrix'] | ||
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aer_state.allocate_qubits(inst.num_qubits) | ||
num_qubits = inst.num_qubits | ||
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if init_data is not None: | ||
aer_state.initialize(data=init_data, copy=True) | ||
else: | ||
aer_state.initialize() | ||
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if isinstance(inst, QuantumCircuit) and inst.global_phase != 0: | ||
aer_state.apply_global_phase(inst.global_phase) | ||
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if isinstance(inst, QuantumCircuit): | ||
AerStatevector._aer_evolve_circuit(aer_state, inst, range(num_qubits), basis_gates) | ||
else: | ||
AerStatevector._aer_evolve_instruction(aer_state, inst, range(num_qubits), basis_gates) | ||
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return aer_state.move_to_ndarray(), aer_state | ||
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def reset(self, qargs=None): | ||
"""Reset state or subsystems to the 0-state. | ||
Args: | ||
qargs (list or None): subsystems to reset, if None all | ||
subsystems will be reset to their 0-state | ||
(Default: None). | ||
Returns: | ||
AerDensityMatrix: the reset state. | ||
Additional Information: | ||
If all subsystems are reset this will return the ground state | ||
on all subsystems. If only a some subsystems are reset this | ||
function will perform evolution by the reset | ||
:class:`~qiskit.quantum_info.SuperOp` of the reset subsystems. | ||
""" | ||
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# Normally, DensityMatrix.reset returns DensityMatrix, which should | ||
# be converted to AerDensityMatrix if necessary. | ||
density_matrix = super().reset(qargs=qargs) | ||
if isinstance(density_matrix, DensityMatrix): | ||
density_matrix = AerDensityMatrix(density_matrix) | ||
return density_matrix | ||
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@classmethod | ||
def from_label(cls, label): | ||
r"""Return a tensor product of Pauli X,Y,Z eigenstates. | ||
.. list-table:: Single-qubit state labels | ||
:header-rows: 1 | ||
* - Label | ||
- Statevector | ||
* - ``"0"`` | ||
- :math:`\begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix}` | ||
* - ``"1"`` | ||
- :math:`\begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix}` | ||
* - ``"+"`` | ||
- :math:`\frac{1}{2}\begin{pmatrix} 1 & 1 \\ 1 & 1 \end{pmatrix}` | ||
* - ``"-"`` | ||
- :math:`\frac{1}{2}\begin{pmatrix} 1 & -1 \\ -1 & 1 \end{pmatrix}` | ||
* - ``"r"`` | ||
- :math:`\frac{1}{2}\begin{pmatrix} 1 & -i \\ i & 1 \end{pmatrix}` | ||
* - ``"l"`` | ||
- :math:`\frac{1}{2}\begin{pmatrix} 1 & i \\ -i & 1 \end{pmatrix}` | ||
Args: | ||
label (string): a eigenstate string ket label (see table for | ||
allowed values). | ||
Returns: | ||
Statevector: The N-qubit basis state density matrix. | ||
Raises: | ||
QiskitError: if the label contains invalid characters, or the length | ||
of the label is larger than an explicitly specified num_qubits. | ||
""" | ||
return AerDensityMatrix(AerStatevector.from_label(label)) | ||
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@staticmethod | ||
def from_int(i, dims): | ||
"""Return a computational basis state density matrix. | ||
Args: | ||
i (int): the basis state element. | ||
dims (int or tuple or list): The subsystem dimensions of the statevector | ||
(See additional information). | ||
Returns: | ||
DensityMatrix: The computational basis state :math:`|i\\rangle\\!\\langle i|`. | ||
Additional Information: | ||
The ``dims`` kwarg can be an integer or an iterable of integers. | ||
* ``Iterable`` -- the subsystem dimensions are the values in the list | ||
with the total number of subsystems given by the length of the list. | ||
* ``Int`` -- the integer specifies the total dimension of the | ||
state. If it is a power of two the state will be initialized | ||
as an N-qubit state. If it is not a power of two the state | ||
will have a single d-dimensional subsystem. | ||
""" | ||
size = np.product(dims) | ||
state = np.zeros((size, size), dtype=complex) | ||
state[i, i] = 1.0 | ||
return AerDensityMatrix(state, dims=dims) | ||
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def to_statevector(self, atol=None, rtol=None): | ||
"""Return a statevector from a pure density matrix. | ||
Args: | ||
atol (float): Absolute tolerance for checking operation validity. | ||
rtol (float): Relative tolerance for checking operation validity. | ||
Returns: | ||
AerStatevector: The pure density matrix's corresponding statevector. | ||
Corresponds to the eigenvector of the only non-zero eigenvalue. | ||
Raises: | ||
QiskitError: if the state is not pure. | ||
""" | ||
if atol is None: | ||
atol = self.atol | ||
if rtol is None: | ||
rtol = self.rtol | ||
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if not is_hermitian_matrix(self.data, atol=atol, rtol=rtol): | ||
raise QiskitError('Not a valid density matrix (non-hermitian).') | ||
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evals, evecs = np.linalg.eig(self.data) | ||
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nonzero_evals = evals[abs(evals) > atol] | ||
if len(nonzero_evals) != 1 or not np.isclose(nonzero_evals[0], 1, atol=atol, rtol=rtol): | ||
raise QiskitError('Density matrix is not a pure state') | ||
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psi = evecs[:, np.argmax(evals)] # eigenvectors returned in columns. | ||
return AerStatevector(psi) |
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--- | ||
features: | ||
- | | ||
Add AerDensityMatrix class that allows faster Aer simulation for density | ||
matrix. Roughly speaking, this is a counterpart of AerStatevector which | ||
is for state vector. |
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