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qiskit.quantum_info.SparsePauliOp

class SparsePauliOp(data, coeffs=None)[ソース]

Sparse N-qubit operator in a Pauli basis representation.

This is a sparse representation of an N-qubit matrix Operator in terms of N-qubit PauliTable and complex coefficients.

It can be used for performing operator arithmetic for hundred of qubits if the number of non-zero Pauli basis terms is sufficiently small.

The Pauli basis components are stored as a PauliTable object and can be accessed using the table attribute. The coefficients are stored as a complex Numpy array vector and can be accessed using the coeffs attribute.

Initialize an operator object.

パラメータ
  • data (PauliTable) – Pauli table of terms.

  • coeffs (np.ndarray) – complex coefficients for Pauli terms.

例外

QiskitError – If the input data or coeffs are invalid.

__init__(data, coeffs=None)[ソース]

Initialize an operator object.

パラメータ
  • data (PauliTable) – Pauli table of terms.

  • coeffs (np.ndarray) – complex coefficients for Pauli terms.

例外

QiskitError – If the input data or coeffs are invalid.

Methods

__init__(data[, coeffs])

Initialize an operator object.

add(other)

Return the linear operator self + other.

adjoint()

Return the adjoint of the operator.

compose(other[, qargs, front])

Return the composition channel self∘other.

conjugate()

Return the conjugate of the operator.

copy()

Make a deep copy of current operator.

dot(other[, qargs])

Return the composition channel self∘other.

expand(other)

Return the tensor product operator other ⊗ self.

from_list(obj)

Construct from a list [(pauli_str, coeffs)]

from_operator(obj[, atol, rtol])

Construct from an Operator objector.

input_dims([qargs])

Return tuple of input dimension for specified subsystems.

is_unitary([atol, rtol])

Return True if operator is a unitary matrix.

label_iter()

Return a label representation iterator.

matrix_iter([sparse])

Return a matrix representation iterator.

multiply(other)

Return the linear operator other * self.

output_dims([qargs])

Return tuple of output dimension for specified subsystems.

power(n)

Return the compose of a operator with itself n times.

reshape([input_dims, output_dims])

Return a shallow copy with reshaped input and output subsystem dimensions.

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.

simplify([atol, rtol])

Simplify PauliTable by combining duplicaties and removing zeros.

subtract(other)

Return the linear operator self - other.

tensor(other)

Return the tensor product operator self ⊗ other.

to_list([array])

Convert to a list Pauli string labels and coefficients.

to_matrix([sparse])

Convert to a dense or sparse matrix.

to_operator()

Convert to a matrix Operator object

transpose()

Return the transpose of the operator.

Attributes

atol

The default absolute tolerance parameter for float comparisons.

coeffs

Return the Pauli coefficients.

dim

Return tuple (input_shape, output_shape).

num_qubits

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

qargs

Return the qargs for the operator.

rtol

The relative tolerance parameter for float comparisons.

size

The number of Pauli of Pauli terms in the operator.

table

Return the the PauliTable.

add(other)

Return the linear operator self + other.

DEPRECATED: use operator + other instead.

パラメータ

other (BaseOperator) – an operator object.

戻り値

the operator self + other.

戻り値の型

BaseOperator

adjoint()[ソース]

Return the adjoint of the operator.

property atol

The default absolute tolerance parameter for float comparisons.

property coeffs

Return the Pauli coefficients.

compose(other, qargs=None, front=False)[ソース]

Return the composition channel self∘other.

パラメータ
  • other (SparsePauliOp) – an operator object.

  • qargs (list or None) – a list of subsystem positions to compose other on.

  • front (bool or None) – If False compose in standard order other(self(input)) otherwise compose in reverse order self(other(input)) [default: False]

戻り値

The composed operator.

戻り値の型

SparsePauliOp

例外
  • QiskitError – if other cannot be converted to an Operator or has

  • incompatible dimensions.

conjugate()[ソース]

Return the conjugate of the operator.

copy()

Make a deep copy of current operator.

property dim

Return tuple (input_shape, output_shape).

dot(other, qargs=None)[ソース]

Return the composition channel self∘other.

パラメータ
  • other (SparsePauliOp) – an operator object.

  • qargs (list or None) – a list of subsystem positions to compose other on.

戻り値

The composed operator.

戻り値の型

SparsePauliOp

例外
  • QiskitError – if other cannot be converted to an Operator or has

  • incompatible dimensions.

expand(other)[ソース]

Return the tensor product operator other ⊗ self.

パラメータ

other (SparsePauliOp) – an operator object.

戻り値

the tensor product operator other ⊗ self.

戻り値の型

SparsePauliOp

例外

QiskitError – if other cannot be converted to a SparsePauliOp operator.

static from_list(obj)[ソース]

Construct from a list [(pauli_str, coeffs)]

static from_operator(obj, atol=None, rtol=None)[ソース]

Construct from an Operator objector.

Note that the cost of this contruction is exponential as it involves taking inner products with every element of the N-qubit Pauli basis.

パラメータ
  • obj (Operator) – an N-qubit operator.

  • atol (float) – Optional. Absolute tolerance for checking if coefficients are zero (Default: 1e-8).

  • rtol (float) – Optinoal. relative tolerance for checking if coefficients are zero (Default: 1e-5).

戻り値

the SparsePauliOp representation of the operator.

戻り値の型

SparsePauliOp

例外

QiskitError – if the input operator is not an N-qubit operator.

input_dims(qargs=None)

Return tuple of input dimension for specified subsystems.

is_unitary(atol=None, rtol=None)[ソース]

Return True if operator is a unitary matrix.

パラメータ
  • atol (float) – Optional. Absolute tolerance for checking if coefficients are zero (Default: 1e-8).

  • rtol (float) – Optinoal. relative tolerance for checking if coefficients are zero (Default: 1e-5).

戻り値

True if the operator is unitary, False otherwise.

戻り値の型

bool

label_iter()[ソース]

Return a label representation iterator.

This is a lazy iterator that converts each term in the SparsePauliOp into a tuple (label, coeff). To convert the entire table to labels use the to_labels() method.

戻り値

label iterator object for the PauliTable.

戻り値の型

LabelIterator

matrix_iter(sparse=False)[ソース]

Return a matrix representation iterator.

This is a lazy iterator that converts each term in the SparsePauliOp into a matrix as it is used. To convert to a single matrix use the to_matrix() method.

パラメータ

sparse (bool) – optionally return sparse CSR matrices if True, otherwise return Numpy array matrices (Default: False)

戻り値

matrix iterator object for the PauliTable.

戻り値の型

MatrixIterator

multiply(other)

Return the linear operator other * self.

DEPRECATED: use other * operator instead.

パラメータ

other (complex) – a complex number.

戻り値

the linear operator other * self.

戻り値の型

BaseOperator

例外

NotImplementedError – if subclass does not support multiplication.

property num_qubits

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

output_dims(qargs=None)

Return tuple of output dimension for specified subsystems.

power(n)

Return the compose of a operator with itself n times.

パラメータ

n (int) – the number of times to compose with self (n>0).

戻り値

the n-times composed operator.

戻り値の型

BaseOperator

例外

QiskitError – if the input and output dimensions of the operator are not equal, or the power is not a positive integer.

property qargs

Return the qargs for the operator.

reshape(input_dims=None, output_dims=None)

Return a shallow copy with reshaped input and output subsystem dimensions.

Arg:
input_dims (None or tuple): new subsystem input dimensions.

If None the original input dims will be preserved [Default: None].

output_dims (None or tuple): new subsystem output dimensions.

If None the original output dims will be preserved [Default: None].

戻り値

returns self with reshaped input and output dimensions.

戻り値の型

BaseOperator

例外

QiskitError – if combined size of all subsystem input dimension or subsystem output dimensions is not constant.

property rtol

The relative tolerance parameter for float comparisons.

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

simplify(atol=None, rtol=None)[ソース]

Simplify PauliTable by combining duplicaties and removing zeros.

パラメータ
  • atol (float) – Optional. Absolute tolerance for checking if coefficients are zero (Default: 1e-8).

  • rtol (float) – Optinoal. relative tolerance for checking if coefficients are zero (Default: 1e-5).

戻り値

the simplified SparsePauliOp operator.

戻り値の型

SparsePauliOp

property size

The number of Pauli of Pauli terms in the operator.

subtract(other)

Return the linear operator self - other.

DEPRECATED: use operator - other instead.

パラメータ

other (BaseOperator) – an operator object.

戻り値

the operator self - other.

戻り値の型

BaseOperator

property table

Return the the PauliTable.

tensor(other)[ソース]

Return the tensor product operator self ⊗ other.

パラメータ

other (SparsePauliOp) – a operator subclass object.

戻り値

the tensor product operator self ⊗ other.

戻り値の型

SparsePauliOp

例外

QiskitError – if other cannot be converted to a SparsePauliOp operator.

to_list(array=False)[ソース]

Convert to a list Pauli string labels and coefficients.

For operators with a lot of terms converting using the array=True kwarg will be more efficient since it allocates memory for the full Numpy array of labels in advance.

パラメータ

array (bool) – return a Numpy array if True, otherwise return a list (Default: False).

戻り値

List of pairs (label, coeff) for rows of the PauliTable.

戻り値の型

list or array

to_matrix(sparse=False)[ソース]

Convert to a dense or sparse matrix.

パラメータ

sparse (bool) – if True return a sparse CSR matrix, otherwise return dense Numpy array (Default: False).

戻り値

A dense matrix if sparse=False. csr_matrix: A sparse matrix in CSR format if sparse=True.

戻り値の型

array

to_operator()[ソース]

Convert to a matrix Operator object

transpose()[ソース]

Return the transpose of the operator.

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