SparseVectorStateFn#

class qiskit.opflow.state_fns.SparseVectorStateFn(*args, **kwargs)[ソース]#

ベースクラス: StateFn

Deprecated: A class for sparse state functions and measurements in vector representation.

This class uses scipy.sparse.spmatrix for the internal representation.

バージョン 0.24.0 で非推奨: The class qiskit.opflow.state_fns.sparse_vector_state_fn.SparseVectorStateFn 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 underlying sparse vector.

  • coeff – A coefficient multiplying the state function.

  • is_measurement – Whether the StateFn is a measurement operator

例外:
  • ValueError – If the primitive is not a column vector.

  • ValueError – If the number of elements in the primitive is not a power of 2.

Attributes

INDENTATION = '  '#
coeff#

A coefficient by which the state function is multiplied.

instance_id#

Return the unique instance id.

is_measurement#

Whether the StateFn object is a measurement Operator.

num_qubits#
parameters#
primitive: spmatrix#

The primitive which defines the behavior of the underlying State function.

settings#

Return settings.

Methods

add(other)[ソース]#

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:

OperatorBase

adjoint()[ソース]#

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:

SparseVectorStateFn

equals(other)[ソース]#

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)[ソース]#

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

primitive_strings()[ソース]#

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]

sample(shots=1024, massive=False, reverse_endianness=False)[ソース]#

Sample the state function as a normalized probability distribution. Returns dict of bitstrings in order of probability, with values being probability.

パラメータ:
  • shots (int) – The number of samples to take to approximate the State function.

  • massive (bool) – Whether to allow large conversions, e.g. creating a matrix representing over 16 qubits.

  • reverse_endianness (bool) – Whether to reverse the endianness of the bitstrings in the return dict to match Terra’s big-endianness.

戻り値:

A dict containing pairs sampled strings from the State function and sampling frequency divided by shots.

戻り値の型:

dict

to_circuit_op()[ソース]#

Convert this state function to a CircuitStateFn.

戻り値の型:

OperatorBase

to_dict_fn()[ソース]#

Convert this state function to a DictStateFn.

戻り値:

A new DictStateFn equivalent to self.

戻り値の型:

StateFn

to_matrix(massive=False)[ソース]#

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)[ソース]#

Return a VectorStateFn for this StateFn.

パラメータ:

massive (bool) – Whether to allow large conversions, e.g. creating a matrix representing over 16 qubits.

戻り値:

A VectorStateFn equivalent to self.

戻り値の型:

OperatorBase

to_spmatrix()[ソース]#

Return SciPy sparse matrix representation of the Operator. Represents the evaluation of the Operator’s underlying function on every combination of basis binary strings.

戻り値:

The SciPy spmatrix equivalent to this Operator.

戻り値の型:

OperatorBase