Operator

class Operator(data, input_dims=None, output_dims=None)

Bases: qiskit.quantum_info.operators.linear_op.LinearOp

Matrix operator class

This represents a matrix operator $M$ that will evolve() a Statevector $|\psi\rangle$ by matrix-vector multiplication

|\psi\rangle \mapsto M|\psi\rangle,

and will evolve() a DensityMatrix $\rho$ by left and right multiplication

\rho \mapsto M \rho M^\dagger.

Initialize an operator object.

Parameters

or (data (QuantumCircuit) – Instruction or BaseOperator or matrix): data to initialize operator.
input_dims (tuple) – the input subsystem dimensions. [Default: None]
output_dims (tuple) – the output subsystem dimensions. [Default: None]

Raises

QiskitError – if input data cannot be initialized as an operator.

Additional Information:

If the input or output dimensions are None, they will be automatically determined from the input data. If the input data is a Numpy array of shape (2**N, 2**N) qubit systems will be used. If the input operator is not an N-qubit operator, it will assign a single subsystem with dimension specified by the shape of the input.

Methods

adjoint

Operator.adjoint()

Return the adjoint of the Operator.

compose

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

Return the operator composition with another Operator.

Parameters

other (Operator) – a Operator 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 Operator.

Return type

Operator

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 @ (equivalent to dot()) is defined as right matrix multiplication. That is that A & B == A.compose(B) is equivalent to B @ A == 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

Operator.conjugate()

Return the conjugate of the Operator.

copy

Operator.copy()

Make a deep copy of current operator.

dot

Operator.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

Note

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

equiv

Operator.equiv(other, rtol=None, atol=None)

Return True if operators are equivalent up to global phase.

Parameters

other (Operator) – an operator object.
rtol (float) – relative tolerance value for comparison.
atol (float) – absolute tolerance value for comparison.

Returns

True if operators are equivalent up to global phase.

Return type

bool

expand

Operator.expand(other)

Return the reverse-order tensor product with another Operator.

Parameters

other (Operator) – a Operator object.

Returns

the tensor product $b \otimes a$ , where $a$

is the current Operator, and $b$ is the other Operator.

Return type

Operator

from_circuit

classmethod Operator.from_circuit(circuit, ignore_set_layout=False, layout=None)

Create a new Operator object from a :class`.QuantumCircuit`

While a QuantumCircuit object can passed directly as data to the class constructor this provides no options on how the circuit is used to create an Operator. This constructor method lets you control how the Operator is created so it can be adjusted for a particular use case.

By default this constructor method will permute the qubits based on a configured initial layout (i.e. after it was transpiled). It also provides an option to manually provide a Layout object directly.

Parameters

circuit (QuantumCircuit) – The QuantumCircuit to create an Operator object from.
ignore_set_layout (bool) – When set to True if the input circuit has a layout set it will be ignored
layout (Layout) – If specified this kwarg can be used to specify a particular layout to use to permute the qubits in the created Operator. If this is specified it will be used instead of a layout contained in the circuit input.

Returns

An operator representing the input circuit

Return type

Operator

from_label

classmethod Operator.from_label(label)

Return a tensor product of single-qubit operators.

Parameters

label (string) – single-qubit operator string.

Returns

The N-qubit operator.

Return type

Operator

Raises

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

Additional Information:

The labels correspond to the single-qubit matrices: ‘I’: [[1, 0], [0, 1]] ‘X’: [[0, 1], [1, 0]] ‘Y’: [[0, -1j], [1j, 0]] ‘Z’: [[1, 0], [0, -1]] ‘H’: [[1, 1], [1, -1]] / sqrt(2) ‘S’: [[1, 0], [0 , 1j]] ‘T’: [[1, 0], [0, (1+1j) / sqrt(2)]] ‘0’: [[1, 0], [0, 0]] ‘1’: [[0, 0], [0, 1]] ‘+’: [[0.5, 0.5], [0.5 , 0.5]] ‘-‘: [[0.5, -0.5], [-0.5 , 0.5]] ‘r’: [[0.5, -0.5j], [0.5j , 0.5]] ‘l’: [[0.5, 0.5j], [-0.5j , 0.5]]

input_dims

Operator.input_dims(qargs=None)

Return tuple of input dimension for specified subsystems.

is_unitary

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

Return True if operator is a unitary matrix.

output_dims

Operator.output_dims(qargs=None)

Return tuple of output dimension for specified subsystems.

power

Operator.power(n)

Return the matrix power of the operator.

Parameters

n (float) – the power to raise the matrix to.

Returns

the resulting operator O ** n.

Return type

Operator

Raises

QiskitError – if the input and output dimensions of the operator are not equal.

reshape

Operator.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.

reverse_qargs

Operator.reverse_qargs()

Return an Operator with reversed subsystem ordering.

For a tensor product operator this is equivalent to reversing the order of tensor product subsystems. For an operator $A = A_{n-1} \otimes ... \otimes A_0$ the returned operator will be $A_0 \otimes ... \otimes A_{n-1}$ .

Returns

the operator with reversed subsystem order.

Return type

Operator

tensor

Operator.tensor(other)

Return the tensor product with another Operator.

Parameters

other (Operator) – a Operator object.

Returns

the tensor product $a \otimes b$ , where $a$

is the current Operator, and $b$ is the other Operator.

Return type

Operator

Note

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

to_instruction

Operator.to_instruction()

Convert to a UnitaryGate instruction.

to_operator

Operator.to_operator()

Convert operator to matrix operator class

transpose

Operator.transpose()

Return the transpose of the Operator.

Attributes

atol

Default value: 1e-08

data

Return data.

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

Default value: 1e-05

settings

Return operator settings.

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