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SparsePauliOp

SparsePauliOp(data, coeffs=None, *, ignore_pauli_phase=False, copy=True) GitHub(opens in a new tab)

Bases: qiskit.quantum_info.operators.linear_op.LinearOp

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 PauliList 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 PauliList object and can be accessed using the paulis attribute. The coefficients are stored as a complex Numpy array vector and can be accessed using the coeffs attribute.

Initialize an operator object.

Parameters

  • data (PauliList orSparsePauliOp orPauliTable orPauli or list or str) – Pauli list of terms. A list of Pauli strings or a Pauli string is also allowed.

  • coeffs (np.ndarray) –

    complex coefficients for Pauli terms.

    Note

    If data is a SparsePauliOp and coeffs is not None, the value of the SparsePauliOp.coeffs will be ignored, and only the passed keyword argument coeffs will be used.

  • ignore_pauli_phase (bool) – if true, any phase component of a given PauliList will be assumed to be zero. This is more efficient in cases where a PauliList has been constructed purely for this object, and it is already known that the phases in the ZX-convention are zero. It only makes sense to pass this option when giving PauliList data. (Default: False)

  • copy (bool) – copy the input data if True, otherwise assign it directly, if possible. (Default: True)

Raises

QiskitError – If the input data or coeffs are invalid.


Methods

adjoint

SparsePauliOp.adjoint()

Return the adjoint of the Operator.

compose

SparsePauliOp.compose(other, qargs=None, front=False)

Return the operator composition with another SparsePauliOp.

Parameters

  • other (SparsePauliOp) – a SparsePauliOp object.
  • qargs (list or None) – Optional, a list of subsystem positions to apply other on. If None apply on all subsystems (default: None).
  • front (bool) – If True compose using right operator multiplication, instead of left multiplication [default: False].

Returns

The composed SparsePauliOp.

Return type

SparsePauliOp

Raises

QiskitError – if other cannot be converted to an operator, or has incompatible dimensions for specified subsystems.

Note

Composition (&) by default is defined as left matrix multiplication for matrix operators, while dot() is defined as right matrix multiplication. That is that A & B == A.compose(B) is equivalent to B.dot(A) when A and B are of the same type.

Setting the front=True kwarg changes this to right matrix multiplication and is equivalent to the dot() method A.dot(B) == A.compose(B, front=True).

conjugate

SparsePauliOp.conjugate()

Return the conjugate of the SparsePauliOp.

copy

SparsePauliOp.copy()

Make a deep copy of current operator.

dot

SparsePauliOp.dot(other, qargs=None)

Return the right multiplied operator self * other.

Parameters

  • other (Operator) – an operator object.
  • qargs (list or None) – Optional, a list of subsystem positions to apply other on. If None apply on all subsystems (default: None).

Returns

The right matrix multiplied Operator.

Return type

Operator

expand

SparsePauliOp.expand(other)

Return the reverse-order tensor product with another SparsePauliOp.

Parameters

other (SparsePauliOp) – a SparsePauliOp object.

Returns

the tensor product bab \otimes a, where aa

is the current SparsePauliOp, and bb is the other SparsePauliOp.

Return type

SparsePauliOp

from_list

static SparsePauliOp.from_list(obj)

Construct from a list [(pauli_str, coeffs)]

from_operator

static SparsePauliOp.from_operator(obj, atol=None, rtol=None)

Construct from an Operator objector.

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

Parameters

  • obj (Operator) – an N-qubit operator.
  • atol (float) – Optional. Absolute tolerance for checking if coefficients are zero (Default: 1e-8).
  • rtol (float) – Optional. relative tolerance for checking if coefficients are zero (Default: 1e-5).

Returns

the SparsePauliOp representation of the operator.

Return type

SparsePauliOp

Raises

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

input_dims

SparsePauliOp.input_dims(qargs=None)

Return tuple of input dimension for specified subsystems.

is_unitary

SparsePauliOp.is_unitary(atol=None, rtol=None)

Return True if operator is a unitary matrix.

Parameters

  • atol (float) – Optional. Absolute tolerance for checking if coefficients are zero (Default: 1e-8).
  • rtol (float) – Optional. relative tolerance for checking if coefficients are zero (Default: 1e-5).

Returns

True if the operator is unitary, False otherwise.

Return type

bool

label_iter

SparsePauliOp.label_iter()

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.

Returns

label iterator object for the PauliTable.

Return type

LabelIterator

matrix_iter

SparsePauliOp.matrix_iter(sparse=False)

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.

Parameters

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

Returns

matrix iterator object for the PauliList.

Return type

MatrixIterator

output_dims

SparsePauliOp.output_dims(qargs=None)

Return tuple of output dimension for specified subsystems.

power

SparsePauliOp.power(n)

Return the compose of a operator with itself n times.

Parameters

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

Returns

the n-times composed operator.

Return type

Pauli

Raises

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

reshape

SparsePauliOp.reshape(input_dims=None, output_dims=None, num_qubits=None)

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

Parameters

  • 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].
  • num_qubits (None or int) – reshape to an N-qubit operator [Default: None].

Returns

returns self with reshaped input and output dimensions.

Return type

BaseOperator

Raises

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

simplify

SparsePauliOp.simplify(atol=None, rtol=None)

Simplify PauliList by combining duplicates and removing zeros.

Parameters

  • atol (float) – Optional. Absolute tolerance for checking if coefficients are zero (Default: 1e-8).
  • rtol (float) – Optional. relative tolerance for checking if coefficients are zero (Default: 1e-5).

Returns

the simplified SparsePauliOp operator.

Return type

SparsePauliOp

sum

static SparsePauliOp.sum(ops)

Sum of SparsePauliOps.

This is a specialized version of the builtin sum function for SparsePauliOp with smaller overhead.

Parameters

ops (list[SparsePauliOp]) – a list of SparsePauliOps.

Returns

the SparsePauliOp representing the sum of the input list.

Return type

SparsePauliOp

Raises

  • QiskitError – if the input list is empty.
  • QiskitError – if the input list includes an object that is not SparsePauliOp.
  • QiskitError – if the numbers of qubits of the objects in the input list do not match.

tensor

SparsePauliOp.tensor(other)

Return the tensor product with another SparsePauliOp.

Parameters

other (SparsePauliOp) – a SparsePauliOp object.

Returns

the tensor product aba \otimes b, where aa

is the current SparsePauliOp, and bb is the other SparsePauliOp.

Return type

SparsePauliOp

Note

The tensor product can be obtained using the ^ binary operator. Hence a.tensor(b) is equivalent to a ^ b.

to_list

SparsePauliOp.to_list(array=False)

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.

Parameters

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

Returns

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

Return type

list or array

to_matrix

SparsePauliOp.to_matrix(sparse=False)

Convert to a dense or sparse matrix.

Parameters

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

Returns

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

Return type

array

to_operator

SparsePauliOp.to_operator()

Convert to a matrix Operator object

transpose

SparsePauliOp.transpose()

Return the transpose of the SparsePauliOp.


Attributes

atol

= 1e-08

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.

paulis

Return the the PauliList.

qargs

Return the qargs for the operator.

rtol

= 1e-05

settings

Return settings.

Return type

Dict

size

The number of Pauli of Pauli terms in the operator.

table

DEPRECATED - Return the the PauliTable.

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