qiskit.opflow.state_fns.CircuitStateFn¶

class CircuitStateFn(primitive=None, coeff=1.0, is_measurement=False, from_operator=False)[source]¶

A class for state functions and measurements which are defined by the action of a QuantumCircuit starting from |0⟩, and stored using Terra’s QuantumCircuit class.

Parameters

primitive (Union[QuantumCircuit, Instruction, None]) – The QuantumCircuit (or Instruction, which will be converted) which defines the behavior of the underlying function.
coeff (Union[complex, ParameterExpression]) – A coefficient multiplying the state function.
is_measurement (bool) – Whether the StateFn is a measurement operator.
from_operator (bool) – if True the StateFn is derived from OperatorStateFn. (Default: False)

Raises

TypeError – Unsupported primitive, or primitive has ClassicalRegisters.

__init__(primitive=None, coeff=1.0, is_measurement=False, from_operator=False)[source]¶

Parameters

primitive (Union[QuantumCircuit, Instruction, None]) – The QuantumCircuit (or Instruction, which will be converted) which defines the behavior of the underlying function.
coeff (Union[complex, ParameterExpression]) – A coefficient multiplying the state function.
is_measurement (bool) – Whether the StateFn is a measurement operator.
from_operator (bool) – if True the StateFn is derived from OperatorStateFn. (Default: False)

Raises

TypeError – Unsupported primitive, or primitive has ClassicalRegisters.

Methods

`__init__`([primitive, coeff, is_measurement, …])	type primitive `Union`[`QuantumCircuit`, `Instruction`, `None`]
`add`(other)	Return Operator addition of self and other, overloaded by `+`.
`adjoint`()	Return a new Operator equal to the Operator’s adjoint (conjugate transpose), overloaded by `~`.
`assign_parameters`(param_dict)	Binds scalar values to any Terra `Parameters` in the coefficients or primitives of the Operator, or substitutes one `Parameter` for another.
`bind_parameters`(param_dict)	Same as assign_parameters, but maintained for consistency with QuantumCircuit in Terra (which has both assign_parameters and bind_parameters).
`compose`(other[, permutation, front])	Composition (Linear algebra-style: A@B(x) = A(B(x))) is not well defined for states in the binary function model, but is well defined for measurements.
`copy`()	Return a deep copy of the Operator.
`equals`(other)	Evaluate Equality between Operators, overloaded by `==`.
`eval`([front])	Evaluate the Operator’s underlying function, either on a binary string or another Operator.
`from_dict`(density_dict)	Construct the CircuitStateFn from a dict mapping strings to probability densities.
`from_vector`(statevector)	Construct the CircuitStateFn from a vector representing the statevector.
`mul`(scalar)	Returns the scalar multiplication of the Operator, overloaded by `*`, including support for Terra’s `Parameters`, which can be bound to values later (via `bind_parameters`).
`neg`()	Return the Operator’s negation, effectively just multiplying by -1.0, overloaded by `-`.
`permute`(permutation)	Permute the qubits of the circuit.
`power`(exponent)	Compose with Self Multiple Times, undefined for StateFns.
`primitive_strings`()	Return a set of strings describing the primitives contained in the Operator.
`reduce`()	Try collapsing the Operator structure, usually after some type of conversion, e.g.
`sample`([shots, massive, reverse_endianness])	Sample the state function as a normalized probability distribution.
`tensor`(other)	Return tensor product between self and other, overloaded by `^`.
`tensorpower`(other)	Return tensor product with self multiple times, overloaded by `^`.
`to_circuit`([meas])	Return QuantumCircuit representing StateFn
`to_circuit_op`()	Return `StateFnCircuit` corresponding to this StateFn.
`to_density_matrix`([massive])	Return numpy matrix of density operator, warn if more than 16 qubits to force the user to set massive=True if they want such a large matrix.
`to_instruction`()	Return Instruction corresponding to primitive.
`to_matrix`([massive])	Return NumPy representation of the Operator.
`to_matrix_op`([massive])	Return a `VectorStateFn` for this `StateFn`.
`to_spmatrix`()	Return SciPy sparse matrix representation of the Operator.
`traverse`(convert_fn[, coeff])	Apply the convert_fn to the internal primitive if the primitive is an Operator (as in the case of `OperatorStateFn`).

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`	The number of qubits over which the Operator is defined.
`parameters`	Return a set of Parameter objects contained in the Operator.
`primitive`	The primitive which defines the behavior of the underlying State function.
`settings`	Return settings.

add(other)[source]¶

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

Parameters: 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).
Return type: OperatorBase
Returns: An OperatorBase equivalent to the sum of self and other.

adjoint()[source]¶

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

Return type: CircuitStateFn
Returns: An OperatorBase equivalent to the adjoint of self.

assign_parameters(param_dict)[source]¶

Binds scalar values to any Terra Parameters in the coefficients or primitives of the Operator, or substitutes one Parameter for another. This method differs from Terra’s assign_parameters in that it also supports lists of values to assign for a give Parameter, in which case self will be copied for each parameterization in the binding list(s), and all the copies will be returned in an OpList. If lists of parameterizations are used, every Parameter in the param_dict must have the same length list of parameterizations.

Parameters: param_dict (dict) – The dictionary of Parameters to replace, and values or lists of values by which to replace them.
Return type: Union[CircuitStateFn, ListOp]
Returns: The OperatorBase with the Parameters in self replaced by the values or Parameters in param_dict. If param_dict contains parameterization lists, this OperatorBase is an OpList.

bind_parameters(param_dict)¶

Same as assign_parameters, but maintained for consistency with QuantumCircuit in Terra (which has both assign_parameters and bind_parameters).

Return type: OperatorBase

property coeff¶

A coefficient by which the state function is multiplied.

Return type: Union[complex, ParameterExpression]

compose(other, permutation=None, front=False)[source]¶

Composition (Linear algebra-style: A@B(x) = A(B(x))) is not well defined for states in the binary function model, but is well defined for measurements.

Parameters

other (OperatorBase) – The Operator to compose with self.
permutation (Optional[List[int]]) – List[int] which defines permutation on other operator.
front (bool) – If front==True, return other.compose(self).

Return type

OperatorBase

Returns

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

Raises

ValueError – If self is not a measurement, it cannot be composed from the right.

copy()¶

Return a deep copy of the Operator.

Return type: 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.

Parameters: other (OperatorBase) – The OperatorBase to compare to self.
Return type: bool
Returns: A bool equal to the equality of self and other.

eval(front=None)[source]¶

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.

Parameters: front (Union[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.
Return type: Union[OperatorBase, complex]
Returns: 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.

static from_dict(density_dict)[source]¶

Construct the CircuitStateFn from a dict mapping strings to probability densities.

Parameters: density_dict (dict) – The dict representing the desired state.
Return type: CircuitStateFn
Returns: The CircuitStateFn created from the dict.

static from_vector(statevector)[source]¶

Construct the CircuitStateFn from a vector representing the statevector.

Parameters: statevector (ndarray) – The statevector representing the desired state.
Return type: CircuitStateFn
Returns: The CircuitStateFn created from the vector.

property instance_id¶

Return the unique instance id.

Return type: int

property is_measurement¶

Whether the StateFn object is a measurement Operator.

Return type: bool

mul(scalar)¶

Returns the scalar multiplication of the Operator, overloaded by *, including support for Terra’s Parameters, which can be bound to values later (via bind_parameters).

Parameters: scalar (Union[complex, ParameterExpression]) – The real or complex scalar by which to multiply the Operator, or the ParameterExpression to serve as a placeholder for a scalar factor.
Return type: OperatorBase
Returns: An OperatorBase equivalent to product of self and scalar.

neg()¶

Return the Operator’s negation, effectively just multiplying by -1.0, overloaded by -.

Return type: OperatorBase
Returns: An OperatorBase equivalent to the negation of self.

property num_qubits¶

The number of qubits over which the Operator is defined. If op.num_qubits == 5, then op.eval('1' * 5) will be valid, but op.eval('11') will not.

Return type: int
Returns: The number of qubits accepted by the Operator’s underlying function.

property parameters¶: Return a set of Parameter objects contained in the Operator.

permute(permutation)[source]¶

Permute the qubits of the circuit.

Parameters: permutation (List[int]) – A list defining where each qubit should be permuted. The qubit at index j of the circuit should be permuted to position permutation[j].
Return type: CircuitStateFn
Returns: A new CircuitStateFn containing the permuted circuit.

power(exponent)¶

Compose with Self Multiple Times, undefined for StateFns.

Parameters: exponent (int) – The number of times to compose self with self.
Raises: ValueError – This function is not defined for StateFns.
Return type: OperatorBase

property primitive¶: The primitive which defines the behavior of the underlying State function.

primitive_strings()[source]¶

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.

Return type: Set[str]
Returns: A set of strings describing the primitives contained within the Operator.

reduce()[source]¶

Try collapsing the Operator structure, usually after some type of conversion, e.g. trying to add Operators in a SummedOp or delete needless IGates in a CircuitOp. If no reduction is available, just returns self.

Return type: CircuitStateFn
Returns: The reduced OperatorBase.

sample(shots=1024, massive=False, reverse_endianness=False)[source]¶

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

Return type: dict

property settings¶

Return settings.

Return type: Dict

tensor(other)[source]¶

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

|0⟩– |+⟩–

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

Parameters: other (OperatorBase) – The OperatorBase to tensor product with self.
Return type: Union[CircuitStateFn, TensoredOp]
Returns: An OperatorBase equivalent to the tensor product of self and other.

tensorpower(other)¶

Return tensor product with self multiple times, overloaded by ^.

Parameters: other (int) – The int number of times to tensor product self with itself via tensorpower.
Return type: Union[OperatorBase, int]
Returns: An OperatorBase equivalent to the tensorpower of self by other.

to_circuit(meas=False)[source]¶

Return QuantumCircuit representing StateFn

Return type: QuantumCircuit

to_circuit_op()[source]¶

Return StateFnCircuit corresponding to this StateFn.

Return type: OperatorBase

to_density_matrix(massive=False)[source]¶

Return numpy matrix of density operator, warn if more than 16 qubits to force the user to set massive=True if they want such a large matrix. Generally big methods like this should require the use of a converter, but in this case a convenience method for quick hacking and access to classical tools is appropriate.

Return type: ndarray

to_instruction()[source]¶: Return Instruction corresponding to primitive.

to_matrix(massive=False)[source]¶

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.

Return type: ndarray
Returns: The NumPy ndarray equivalent to this Operator.

to_matrix_op(massive=False)¶

Return a VectorStateFn for this StateFn.

Parameters: massive (bool) – Whether to allow large conversions, e.g. creating a matrix representing over 16 qubits.
Return type: OperatorBase
Returns: A VectorStateFn equivalent to self.

to_spmatrix()¶

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

Return type: spmatrix
Returns: The SciPy spmatrix equivalent to this Operator.

traverse(convert_fn, coeff=None)¶

Apply the convert_fn to the internal primitive if the primitive is an Operator (as in the case of OperatorStateFn). Otherwise do nothing. Used by converters.

Parameters

convert_fn (Callable) – The function to apply to the internal OperatorBase.
coeff (Union[complex, ParameterExpression, None]) – A coefficient to multiply by after applying convert_fn. If it is None, self.coeff is used instead.

Return type

OperatorBase

Returns

The converted StateFn.