MatrixOp

class qiskit.opflow.primitive_ops.MatrixOp(*args, **kwargs)

ベースクラス: PrimitiveOp

Deprecated: Class for Operators represented by matrices, backed by Terra’s Operator module.

バージョン 0.24.0 で非推奨: The class qiskit.opflow.primitive_ops.matrix_op.MatrixOp is deprecated as of qiskit-terra 0.24.0. It will be removed no earlier than 3 months after the release date. For code migration guidelines, visit https://qisk.it/opflow_migration.

パラメータ:

• primitive – The matrix-like object which defines the behavior of the underlying function.

• coeff – A coefficient multiplying the primitive

例外:

• TypeError – invalid parameters.

• ValueError – invalid parameters.

Attributes

INDENTATION = '  '

coeff

The scalar coefficient multiplying the Operator.

戻り値:

The coefficient.

instance_id

Return the unique instance id.

num_qubits

parameters

primitive: Operator

The primitive defining the underlying function of the Operator.

戻り値:

The primitive object.

settings

Return operator settings.

Methods

add(other)

Return Operator addition of self and other, overloaded by +.

パラメータ:

other (OperatorBase) – An OperatorBase with the same number of qubits as self, and in the same 『Operator』, 『State function』, or 『Measurement』 category as self (i.e. the same type of underlying function).

戻り値:

An OperatorBase equivalent to the sum of self and other.

戻り値の型:

MatrixOp | SummedOp

adjoint()

Return a new Operator equal to the Operator’s adjoint (conjugate transpose), overloaded by ~. For StateFns, this also turns the StateFn into a measurement.

戻り値:

An OperatorBase equivalent to the adjoint of self.

戻り値の型:

MatrixOp

compose(other, permutation=None, front=False)

Return Operator Composition between self and other (linear algebra-style: A@B(x) = A(B(x))), overloaded by @.

Note: You must be conscious of Quantum Circuit vs. Linear Algebra ordering conventions. Meaning, X.compose(Y) produces an X∘Y on qubit 0, but would produce a QuantumCircuit which looks like

-[Y]-[X]-

Because Terra prints circuits with the initial state at the left side of the circuit.

パラメータ:

• other (OperatorBase) – The OperatorBase with which to compose self.

• permutation (List[int] | None) – List[int] which defines permutation on other operator.

• front (bool) – If front==True, return other.compose(self).

戻り値:

An OperatorBase equivalent to the function composition of self and other.

戻り値の型:

OperatorBase

equals(other)

Evaluate Equality between Operators, overloaded by ==. Only returns True if self and other are of the same representation (e.g. a DictStateFn and CircuitStateFn will never be equal, even if their vector representations are equal), their underlying primitives are equal (this means for ListOps, OperatorStateFns, or EvolvedOps the equality is evaluated recursively downwards), and their coefficients are equal.

パラメータ:

other (OperatorBase) – The OperatorBase to compare to self.

戻り値:

A bool equal to the equality of self and other.

戻り値の型:

bool

eval(front=None)

Evaluate the Operator’s underlying function, either on a binary string or another Operator. A square binary Operator can be defined as a function taking a binary function to another binary function. This method returns the value of that function for a given StateFn or binary string. For example, op.eval('0110').eval('1110') can be seen as querying the Operator’s matrix representation by row 6 and column 14, and will return the complex value at those 「indices.」 Similarly for a StateFn, op.eval('1011') will return the complex value at row 11 of the vector representation of the StateFn, as all StateFns are defined to be evaluated from Zero implicitly (i.e. it is as if .eval('0000') is already called implicitly to always 「indexing」 from column 0).

If front is None, the matrix-representation of the operator is returned.

パラメータ:

front (str | Dict[str, complex] | ndarray | OperatorBase | Statevector | None) – The bitstring, dict of bitstrings (with values being coefficients), or StateFn to evaluated by the Operator’s underlying function, or None.

戻り値:

The output of the Operator’s evaluation function. If self is a StateFn, the result is a float or complex. If self is an Operator (PrimitiveOp, ComposedOp, SummedOp, EvolvedOp, etc.), the result is a StateFn. If front is None, the matrix-representation of the operator is returned, which is a MatrixOp for the operators and a VectorStateFn for state-functions. If either self or front contain proper ListOps (not ListOp subclasses), the result is an n-dimensional list of complex or StateFn results, resulting from the recursive evaluation by each OperatorBase in the ListOps.

戻り値の型:

OperatorBase | complex

exp_i()

Return a CircuitOp equivalent to e^-iH for this operator H

戻り値の型:

OperatorBase

permute(permutation=None)

Creates a new MatrixOp that acts on the permuted qubits.

パラメータ:

permutation (List[int] | None) – A list defining where each qubit should be permuted. The qubit at index j should be permuted to position permutation[j].

戻り値:

A new MatrixOp representing the permuted operator.

例外:

OpflowError – if indices do not define a new index for each qubit.

戻り値の型:

OperatorBase

primitive_strings()

Return a set of strings describing the primitives contained in the Operator. For example, {'QuantumCircuit', 'Pauli'}. For hierarchical Operators, such as ListOps, this can help illuminate the primitives represented in the various recursive levels, and therefore which conversions can be applied.

戻り値:

A set of strings describing the primitives contained within the Operator.

戻り値の型:

Set[str]

tensor(other)

Return tensor product between self and other, overloaded by ^. Note: You must be conscious of Qiskit’s big-endian bit printing convention. Meaning, X.tensor(Y) produces an X on qubit 0 and an Y on qubit 1, or X⨂Y, but would produce a QuantumCircuit which looks like

-[Y]- -[X]-

Because Terra prints circuits and results with qubit 0 at the end of the string or circuit.

パラメータ:

other (OperatorBase) – The OperatorBase to tensor product with self.

戻り値:

An OperatorBase equivalent to the tensor product of self and other.

戻り値の型:

MatrixOp | TensoredOp

to_instruction()

Returns an Instruction equivalent to this Operator.

戻り値の型:

Instruction

to_matrix(massive=False)

Return NumPy representation of the Operator. Represents the evaluation of the Operator’s underlying function on every combination of basis binary strings. Warn if more than 16 qubits to force having to set massive=True if such a large vector is desired.

戻り値:

The NumPy ndarray equivalent to this Operator.

戻り値の型:

ndarray

to_matrix_op(massive=False)

Returns a MatrixOp equivalent to this Operator.

戻り値の型:

MatrixOp