qiskit.quantum_info.DensityMatrix¶

class DensityMatrix(data, dims=None)[소스]¶

DensityMatrix class

Initialize a density matrix object.

매개변수

data (matrix_like or vector_like) – a density matrix or statevector. If a vector the density matrix is constructed as the projector of that vector.
dims (int or tuple or list) – Optional. The subsystem dimension of the state (See additional information).

예외

QiskitError – if input data is not valid.

Additional Information:

The dims kwarg can be None, 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 or None – the leading dimension of the input matrix specifies the total dimension of the density matrix. 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.

__init__(data, dims=None)[소스]¶

Initialize a density matrix object.

매개변수

data (matrix_like or vector_like) – a density matrix or statevector. If a vector the density matrix is constructed as the projector of that vector.
dims (int or tuple or list) – Optional. The subsystem dimension of the state (See additional information).

예외

QiskitError – if input data is not valid.

Additional Information:

The dims kwarg can be None, 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 or None – the leading dimension of the input matrix specifies the total dimension of the density matrix. 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.

Methods

`__init__`(data[, dims])	Initialize a density matrix object.
`add`(other)	Return the linear combination self + other.
`conjugate`()	Return the conjugate of the density matrix.
`copy`()	Make a copy of current operator.
`dims`([qargs])	Return tuple of input dimension for specified subsystems.
`evolve`(other[, qargs])	Evolve a quantum state by an operator.
`expand`(other)	Return the tensor product state other ⊗ self.
`expectation_value`(oper[, qargs])	Compute the expectation value of an operator.
`from_instruction`(instruction)	Return the output density matrix of an instruction.
`from_int`(i, dims)	Return a computational basis state density matrix.
`from_label`(label)	Return a tensor product of Pauli X,Y,Z eigenstates.
`is_valid`([atol, rtol])	Return True if trace 1 and positive semidefinite.
`measure`([qargs])	Measure subsystems and return outcome and post-measure state.
`multiply`(other)	Return the scalar multipled state other * self.
`probabilities`([qargs, decimals])	Return the subsystem measurement probability vector.
`probabilities_dict`([qargs, decimals])	Return the subsystem measurement probability dictionary.
`purity`()	Return the purity of the quantum state.
`reset`([qargs])	Reset state or subsystems to the 0-state.
`sample_counts`(shots[, qargs])	Sample a dict of qubit measurement outcomes in the computational basis.
`sample_memory`(shots[, qargs])	Sample a list of qubit measurement outcomes in the computational basis.
`seed`([value])	Set the seed for the quantum state RNG.
`set_atol`(value)	Set the class default absolute tolerance parameter for float comparisons.
`set_rtol`(value)	Set the class default relative tolerance parameter for float comparisons.
`subtract`(other)	Return the linear operator self - other.
`tensor`(other)	Return the tensor product state self ⊗ other.
`to_counts`()	Returns the density matrix as a counts dict of probabilities.
`to_dict`([decimals])	Convert the density matrix to dictionary form.
`to_operator`()	Convert to Operator
`to_statevector`([atol, rtol])	Return a statevector from a pure density matrix.
`trace`()	Return the trace of the density matrix.

Attributes

`atol`	The absolute tolerance parameter for float comparisons.
`data`	Return data.
`dim`	Return total state dimension.
`num_qubits`	Return the number of qubits if a N-qubit state or None otherwise.
`rtol`	The relative tolerance parameter for float comparisons.

add(other)¶

Return the linear combination self + other.

DEPRECATED: use state + other instead.

매개변수: other (QuantumState) – a quantum state object.
반환값: the linear combination self + other.
반환 형식: LinearOperator
예외: QiskitError – if other is not a quantum state, or has incompatible dimensions.

property atol¶: The absolute tolerance parameter for float comparisons.

conjugate()[소스]¶: Return the conjugate of the density matrix.

copy()¶: Make a copy of current operator.

property data¶: Return data.

property dim¶: Return total state dimension.

dims(qargs=None)¶: Return tuple of input dimension for specified subsystems.

evolve(other, qargs=None)[소스]¶

Evolve a quantum state by an operator.

매개변수

(Operator or QuantumChannel (other) – or Instruction or Circuit): The operator to evolve by.
qargs (list) – a list of QuantumState subsystem positions to apply the operator on.

반환값

the output quantum state.

반환 형식

QuantumState

예외

QiskitError – if the operator dimension does not match the specified QuantumState subsystem dimensions.

expand(other)[소스]¶

Return the tensor product state other ⊗ self.

매개변수: other (DensityMatrix) – a quantum state object.
반환값: the tensor product state other ⊗ self.
반환 형식: DensityMatrix
예외: QiskitError – if other is not a quantum state.

expectation_value(oper, qargs=None)[소스]¶

Compute the expectation value of an operator.

매개변수

oper (Operator) – an operator to evaluate expval.
qargs (None or list) – subsystems to apply the operator on.

반환값

the expectation value.

반환 형식

complex

classmethod from_instruction(instruction)[소스]¶

Return the output density matrix of an instruction.

The statevector is initialized in the state \(|{0,\ldots,0}\rangle\) of the same number of qubits as the input instruction or circuit, evolved by the input instruction, and the output statevector returned.

매개변수: instruction (qiskit.circuit.Instruction or QuantumCircuit) – instruction or circuit
반환값: the final density matrix.
반환 형식: DensityMatrix
예외: QiskitError – if the instruction contains invalid instructions for density matrix simulation.

static from_int(i, dims)[소스]¶

Return a computational basis state density matrix.

매개변수

i (int) – the basis state element.
dims (int or tuple or list) – The subsystem dimensions of the statevector (See additional information).

반환값

The computational basis state \(|i\rangle\!\langle i|\).

반환 형식

DensityMatrix

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.

classmethod from_label(label)[소스]¶

Return a tensor product of Pauli X,Y,Z eigenstates.

Table 16 Single-qubit state labels¶
Label	Statevector
`"0"`	\(\begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix}\)
`"1"`	\(\begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix}\)
`"+"`	\(\frac{1}{2}\begin{pmatrix} 1 & 1 \\ 1 & 1 \end{pmatrix}\)
`"-"`	\(\frac{1}{2}\begin{pmatrix} 1 & -1 \\ -1 & 1 \end{pmatrix}\)
`"r"`	\(\frac{1}{2}\begin{pmatrix} 1 & -i \\ i & 1 \end{pmatrix}\)
`"l"`	\(\frac{1}{2}\begin{pmatrix} 1 & i \\ -i & 1 \end{pmatrix}\)

매개변수: label (string) – a eigenstate string ket label (see table for allowed values).
반환값: The N-qubit basis state density matrix.
반환 형식: Statevector
예외: QiskitError – if the label contains invalid characters, or the length of the label is larger than an explicitly specified num_qubits.

is_valid(atol=None, rtol=None)[소스]¶: Return True if trace 1 and positive semidefinite.

measure(qargs=None)¶

Measure subsystems and return outcome and post-measure state.

Note that this function uses the QuantumStates internal random number generator for sampling the measurement outcome. The RNG seed can be set using the seed() method.

매개변수

qargs (list or None) – subsystems to sample measurements for, if None sample measurement of all subsystems (Default: None).

반환값

the pair (outcome, state) where outcome is the: measurement outcome string label, and state is the collapsed post-measurement state for the corresponding outcome.

반환 형식

tuple

multiply(other)¶

Return the scalar multipled state other * self.

매개변수: other (complex) – a complex number.
반환값: the scalar multipled state other * self.
반환 형식: QuantumState
예외: QiskitError – if other is not a valid complex number.

property num_qubits¶: Return the number of qubits if a N-qubit state or None otherwise.

probabilities(qargs=None, decimals=None)[소스]¶

Return the subsystem measurement probability vector.

Measurement probabilities are with respect to measurement in the computation (diagonal) basis.

매개변수

qargs (None or list) – subsystems to return probabilities for, if None return for all subsystems (Default: None).
decimals (None or int) – the number of decimal places to round values. If None no rounding is done (Default: None).

반환값

The Numpy vector array of probabilities.

반환 형식

np.array

예제

Consider a 2-qubit product state \(\rho=\rho_1\otimes\rho_0\) with \(\rho_1=|+\rangle\!\langle+|\), \(\rho_0=|0\rangle\!\langle0|\).

from qiskit.quantum_info import DensityMatrix

rho = DensityMatrix.from_label('+0')

# Probabilities for measuring both qubits
probs = rho.probabilities()
print('probs: {}'.format(probs))

# Probabilities for measuring only qubit-0
probs_qubit_0 = rho.probabilities([0])
print('Qubit-0 probs: {}'.format(probs_qubit_0))

# Probabilities for measuring only qubit-1
probs_qubit_1 = rho.probabilities([1])
print('Qubit-1 probs: {}'.format(probs_qubit_1))

probs: [0.5 0.  0.5 0. ]
Qubit-0 probs: [1. 0.]
Qubit-1 probs: [0.5 0.5]

We can also permute the order of qubits in the qargs list to change the qubit position in the probabilities output

from qiskit.quantum_info import DensityMatrix

rho = DensityMatrix.from_label('+0')

# Probabilities for measuring both qubits
probs = rho.probabilities([0, 1])
print('probs: {}'.format(probs))

# Probabilities for measuring both qubits
# but swapping qubits 0 and 1 in output
probs_swapped = rho.probabilities([1, 0])
print('Swapped probs: {}'.format(probs_swapped))

probs: [0.5 0.  0.5 0. ]
Swapped probs: [0.5 0.5 0.  0. ]

probabilities_dict(qargs=None, decimals=None)¶

Return the subsystem measurement probability dictionary.

Measurement probabilities are with respect to measurement in the computation (diagonal) basis.

This dictionary representation uses a Ket-like notation where the dictionary keys are qudit strings for the subsystem basis vectors. If any subsystem has a dimension greater than 10 comma delimiters are inserted between integers so that subsystems can be distinguished.

매개변수

qargs (None or list) – subsystems to return probabilities for, if None return for all subsystems (Default: None).
decimals (None or int) – the number of decimal places to round values. If None no rounding is done (Default: None).

반환값

The measurement probabilities in dict (ket) form.

반환 형식

dict

purity()[소스]¶: Return the purity of the quantum state.

reset(qargs=None)[소스]¶

Reset state or subsystems to the 0-state.

매개변수: qargs (list or None) – subsystems to reset, if None all subsystems will be reset to their 0-state (Default: None).
반환값: the reset state.
반환 형식: DensityMatrix

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 SuperOp of the reset subsystems.

property rtol¶: The relative tolerance parameter for float comparisons.

sample_counts(shots, qargs=None)¶

Sample a dict of qubit measurement outcomes in the computational basis.

매개변수

shots (int) – number of samples to generate.
qargs (None or list) – subsystems to sample measurements for, if None sample measurement of all subsystems (Default: None).

반환값

sampled counts dictionary.

반환 형식

Counts

Additional Information:

This function samples measurement outcomes using the measure probabilities() for the current state and qargs. It does not actually implement the measurement so the current state is not modified.

The seed for random number generator used for sampling can be set to a fixed value by using the stats seed() method.

sample_memory(shots, qargs=None)¶

Sample a list of qubit measurement outcomes in the computational basis.

매개변수

shots (int) – number of samples to generate.
qargs (None or list) – subsystems to sample measurements for, if None sample measurement of all subsystems (Default: None).

반환값

list of sampled counts if the order sampled.

반환 형식

np.array

Additional Information:

This function samples measurement outcomes using the measure probabilities() for the current state and qargs. It does not actually implement the measurement so the current state is not modified.

The seed for random number generator used for sampling can be set to a fixed value by using the stats seed() method.

seed(value=None)¶: Set the seed for the quantum state RNG.

classmethod set_atol(value)¶

Set the class default absolute tolerance parameter for float comparisons.

DEPRECATED: use operator.atol = value instead

classmethod set_rtol(value)¶

Set the class default relative tolerance parameter for float comparisons.

DEPRECATED: use operator.rtol = value instead

subtract(other)¶

Return the linear operator self - other.

DEPRECATED: use state - other instead.

매개변수: other (QuantumState) – a quantum state object.
반환값: the linear combination self - other.
반환 형식: LinearOperator
예외: QiskitError – if other is not a quantum state, or has incompatible dimensions.

tensor(other)[소스]¶

Return the tensor product state self ⊗ other.

매개변수: other (DensityMatrix) – a quantum state object.
반환값: the tensor product operator self ⊗ other.
반환 형식: DensityMatrix
예외: QiskitError – if other is not a quantum state.

to_counts()[소스]¶

Returns the density matrix as a counts dict of probabilities.

DEPRECATED: use probabilities_dict() instead.

반환값: Counts of probabilities.
반환 형식: dict

to_dict(decimals=None)[소스]¶

Convert the density matrix to dictionary form.

This dictionary representation uses a Ket-like notation where the dictionary keys are qudit strings for the subsystem basis vectors. If any subsystem has a dimension greater than 10 comma delimiters are inserted between integers so that subsystems can be distinguished.

매개변수: decimals (None or int) – the number of decimal places to round values. If None no rounding is done (Default: None).
반환값: the dictionary form of the DensityMatrix.
반환 형식: dict

예제

The ket-form of a 2-qubit density matrix \(rho = |-\rangle\!\langle -|\otimes |0\rangle\!\langle 0|\)

from qiskit.quantum_info import DensityMatrix

rho = DensityMatrix.from_label('-0')
print(rho.to_dict())

{'00|00': (0.4999999999999999+0j), '10|00': (-0.4999999999999999-0j), '00|10': (-0.4999999999999999+0j), '10|10': (0.4999999999999999+0j)}

For non-qubit subsystems the integer range can go from 0 to 9. For example in a qutrit system

import numpy as np
from qiskit.quantum_info import DensityMatrix

mat = np.zeros((9, 9))
mat[0, 0] = 0.25
mat[3, 3] = 0.25
mat[6, 6] = 0.25
mat[-1, -1] = 0.25
rho = DensityMatrix(mat, dims=(3, 3))
print(rho.to_dict())

{'00|00': (0.25+0j), '10|10': (0.25+0j), '20|20': (0.25+0j), '22|22': (0.25+0j)}

For large subsystem dimensions delimeters are required. The following example is for a 20-dimensional system consisting of a qubit and 10-dimensional qudit.

import numpy as np
from qiskit.quantum_info import DensityMatrix

mat = np.zeros((2 * 10, 2 * 10))
mat[0, 0] = 0.5
mat[-1, -1] = 0.5
rho = DensityMatrix(mat, dims=(2, 10))
print(rho.to_dict())

{'00|00': (0.5+0j), '91|91': (0.5+0j)}

to_operator()[소스]¶: Convert to Operator

to_statevector(atol=None, rtol=None)[소스]¶

Return a statevector from a pure density matrix.

매개변수

atol (float) – Absolute tolerance for checking operation validity.
rtol (float) – Relative tolerance for checking operation validity.

반환값

The pure density matrix’s corresponding statevector.: Corresponds to the eigenvector of the only non-zero eigenvalue.

반환 형식

Statevector

예외

QiskitError – if the state is not pure.

trace()[소스]¶: Return the trace of the density matrix.