qiskit.aqua.utils.subsystem のソースコード

# This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2020.
#
# obtain a copy of this license in the LICENSE.txt file in the root directory
#
# 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.

""" sub system """

from collections import defaultdict
import numpy as np
from scipy.linalg import sqrtm

from qiskit.quantum_info.states import partial_trace

[ドキュメント]def get_subsystem_density_matrix(statevector, trace_systems):
"""
Compute the reduced density matrix of a quantum subsystem.

Args:
statevector (list|array): The state vector of the complete system
trace_systems (list|range): The indices of the qubits to be traced out.

Returns:
numpy.ndarray: The reduced density matrix for the desired subsystem
"""
rho = np.outer(statevector, np.conj(statevector))
rho_sub = partial_trace(rho, trace_systems).data
return rho_sub

def get_subsystem_fidelity(statevector, trace_systems, subsystem_state):
"""
Compute the fidelity of the quantum subsystem.

Args:
statevector (list|array): The state vector of the complete system
trace_systems (list|range): The indices of the qubits to be traced.
to trace qubits 0 and 4 trace_systems = [0,4]
subsystem_state (list|array): The ground-truth state vector of the subsystem

Returns:
numpy.ndarray: The subsystem fidelity
"""
rho = np.outer(np.conj(statevector), statevector)
rho_sub = partial_trace(rho, trace_systems).data
rho_sub_in = np.outer(np.conj(subsystem_state), subsystem_state)
fidelity = np.trace(
sqrtm(
np.dot(
np.dot(sqrtm(rho_sub), rho_sub_in),
sqrtm(rho_sub)
)
)
) ** 2
return fidelity

[ドキュメント]def get_subsystems_counts(complete_system_counts, post_select_index=None, post_select_flag=None):
"""
Extract all subsystems' counts from the single complete system count dictionary.

If multiple classical registers are used to measure various parts of a quantum system,
Each of the measurement dictionary's keys would contain spaces as delimiters to separate
the various parts being measured. For example, you might have three keys
'11 010', '01 011' and '11 011', among many other, in the count dictionary of the
5-qubit complete system, and would like to get the two subsystems' counts
(one 2-qubit, and the other 3-qubit) in order to get the counts for the 2-qubit
partial measurement '11' or the 3-qubit partial measurement '011'.

If the post_select_index and post_select_flag parameter are specified, the counts are
returned subject to that specific post selection, that is, the counts for all subsystems where
the subsystem at index post_select_index is equal to post_select_flag.

Args:
complete_system_counts (dict): The measurement count dictionary of a complete system
that contains multiple classical registers for measurements s.t. the dictionary's
keys have space delimiters.
post_select_index (int): Optional, the index of the subsystem to apply the post selection
to.
post_select_flag (str): Optional, the post selection value to apply to the subsystem
at index post_select_index.

Returns:
list: A list of measurement count dictionaries corresponding to
each of the subsystems measured.
"""
mixed_measurements = list(complete_system_counts)
subsystems_counts = [defaultdict(int) for _ in mixed_measurements[0].split()]
for mixed_measurement in mixed_measurements:
count = complete_system_counts[mixed_measurement]
subsystem_measurements = mixed_measurement.split()
for k, d_l in zip(subsystem_measurements, subsystems_counts):
if (post_select_index is None
or subsystem_measurements[post_select_index] == post_select_flag):
d_l[k] += count
return [dict(d) for d in subsystems_counts]