DensityMatrix

The absolute tolerance parameter for float comparisons.

Return data.

Return total state dimension.

Return the number of qubits if a N-qubit state or None otherwise.

The relative tolerance parameter for float comparisons.

DensityMatrix.__mul__(other)

DensityMatrix.add(other)

Return the linear combination self + other.

DEPRECATED: use state + other instead.

Parameters

other (QuantumState) – a quantum state object.

Returns

the linear combination self + other.

Return type

LinearOperator

Raises

QiskitError – if other is not a quantum state, or has incompatible dimensions.

DensityMatrix.conjugate()

Return the conjugate of the density matrix.

DensityMatrix.copy()

Make a copy of current operator.

DensityMatrix.dims(qargs=None)

Return tuple of input dimension for specified subsystems.

DensityMatrix.evolve(other, qargs=None)

Evolve a quantum state by an operator.

Parameters

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

Returns

the output quantum state.

Return type

QuantumState

Raises

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

DensityMatrix.expand(other)

Return the tensor product state other ⊗ self.

Parameters

other (DensityMatrix) – a quantum state object.

Returns

the tensor product state other ⊗ self.

Return type

DensityMatrix

Raises

QiskitError – if other is not a quantum state.

classmethod DensityMatrix.from_instruction(instruction)

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.

Parameters

instruction (qiskit.circuit.Instruction orQuantumCircuit) – instruction or circuit

Returns

the final density matrix.

Return type

DensityMatrix

Raises

QiskitError – if the instruction contains invalid instructions for density matrix simulation.

static DensityMatrix.from_int(i, dims)

Return a computational basis state density matrix.

Parameters

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

Returns

The computational basis state $|i\rangle\!\langle i|$.

Return type

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 DensityMatrix.from_label(label)

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

| "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" | $\frac{1}{2}\begin{pmatrix} 1 & i \\ -i & 1 \end{pmatrix}$ |

Parameters

label (string) – a eigenstate string ket label (see table for allowed values).

Returns

The N-qubit basis state density matrix.

Return type

Statevector

Raises

QiskitError – if the label contains invalid characters, or the length of the label is larger than an explicitly specified num_qubits.

DensityMatrix.is_valid(atol=None, rtol=None)

Return True if trace 1 and positive semidefinite.

DensityMatrix.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.

Parameters

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

Returns

the pair (outcome, state) where outcome is the

measurement outcome string label, and state is the collapsed post-measurement state for the corresponding outcome.

Return type

tuple

DensityMatrix.multiply(other)

Return the scalar multipled state other * self.

Parameters

other (complex) – a complex number.

Returns

the scalar multipled state other * self.

Return type

QuantumState

Raises

QiskitError – if other is not a valid complex number.

DensityMatrix.probabilities(qargs=None, decimals=None)

Return the subsystem measurement probability vector.

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

Parameters

• 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).

Returns

The Numpy vector array of probabilities.

Return type

np.array

Examples

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. ]

DensityMatrix.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.

Parameters

• 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).

Returns

The measurement probabilities in dict (ket) form.

Return type

dict

DensityMatrix.purity()

Return the purity of the quantum state.

DensityMatrix.reset(qargs=None)

Reset state or subsystems to the 0-state.

Parameters

qargs (list or None) – subsystems to reset, if None all subsystems will be reset to their 0-state (Default: None).

Returns

the reset state.

Return type

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.

DensityMatrix.sample_counts(shots, qargs=None)

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

Parameters

• 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).

Returns

sampled counts dictionary.

Return type

dict

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.

DensityMatrix.sample_memory(shots, qargs=None)

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

Parameters

• 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).

Returns

list of sampled counts if the order sampled.

Return type

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.

DensityMatrix.seed(value=None)

Set the seed for the quantum state RNG.

classmethod DensityMatrix.set_atol(value)

Set the class default absolute tolerance parameter for float comparisons.

classmethod DensityMatrix.set_rtol(value)

Set the class default relative tolerance parameter for float comparisons.

DensityMatrix.subtract(other)

Return the linear operator self - other.

DEPRECATED: use state - other instead.

Parameters

other (QuantumState) – a quantum state object.

Returns

the linear combination self - other.

Return type

LinearOperator

Raises

QiskitError – if other is not a quantum state, or has incompatible dimensions.

DensityMatrix.tensor(other)

Return the tensor product state self ⊗ other.

Parameters

other (DensityMatrix) – a quantum state object.

Returns

the tensor product operator self ⊗ other.

Return type

DensityMatrix

Raises

QiskitError – if other is not a quantum state.

DensityMatrix.to_counts()

Returns the density matrix as a counts dict of probabilities.

DEPRECATED: use probabilities_dict() instead.

Returns

Counts of probabilities.

Return type

dict

DensityMatrix.to_dict(decimals=None)

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.

Parameters

decimals (None or int) – the number of decimal places to round values. If None no rounding is done (Default: None).

Returns

the dictionary form of the DensityMatrix.

Return type

dict

Examples

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)}

DensityMatrix.to_operator()

Convert to Operator

DensityMatrix.trace()

Return the trace of the density matrix.