CircuitStateFn
class CircuitStateFn(primitive=None, coeff=1.0, is_measurement=False, from_operator=False)
Bases: qiskit.opflow.state_fns.state_fn.StateFn
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]) – TheQuantumCircuit(orInstruction, 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 Defined Here
add
CircuitStateFn.add(other)
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
Returns
An OperatorBase equivalent to the sum of self and other.
adjoint
CircuitStateFn.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.
Return type
Returns
An OperatorBase equivalent to the adjoint of self.
assign_parameters
CircuitStateFn.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. 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.
compose
CircuitStateFn.compose(other, permutation=None, front=False)
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, returnother.compose(self).
Return type
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.
eval
CircuitStateFn.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.
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.
from_dict
static CircuitStateFn.from_dict(density_dict)
Construct the CircuitStateFn from a dict mapping strings to probability densities.
Parameters
density_dict (dict) – The dict representing the desired state.
Return type
Returns
The CircuitStateFn created from the dict.
from_vector
static CircuitStateFn.from_vector(statevector)
Construct the CircuitStateFn from a vector representing the statevector.
Parameters
statevector (ndarray) – The statevector representing the desired state.
Return type
Returns
The CircuitStateFn created from the vector.
permute
CircuitStateFn.permute(permutation)
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
Returns
A new CircuitStateFn containing the permuted circuit.
primitive_strings
CircuitStateFn.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.
Return type
Set[str]
Returns
A set of strings describing the primitives contained within the Operator.
reduce
CircuitStateFn.reduce()
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
Returns
The reduced OperatorBase.
sample
CircuitStateFn.sample(shots=1024, massive=False, reverse_endianness=False)
Sample the state function as a normalized probability distribution. Returns dict of bitstrings in order of probability, with values being probability.
Return type
dict
tensor
CircuitStateFn.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, 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.
to_circuit
CircuitStateFn.to_circuit(meas=False)
Return QuantumCircuit representing StateFn
Return type
to_circuit_op
CircuitStateFn.to_circuit_op()
Return StateFnCircuit corresponding to this StateFn.
Return type
to_density_matrix
CircuitStateFn.to_density_matrix(massive=False)
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
CircuitStateFn.to_instruction()
Return Instruction corresponding to primitive.
to_matrix
CircuitStateFn.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.
Return type
ndarray
Returns
The NumPy ndarray equivalent to this Operator.
Attributes
INDENTATION
Default value: ' '
coeff
A coefficient by which the state function is multiplied.
Return type
Union[complex, ParameterExpression]
instance_id
Return the unique instance id.
Return type
int
is_measurement
Whether the StateFn object is a measurement Operator.
Return type
bool
num_qubits
Return type
int
parameters
primitive
Type: qiskit.circuit.quantumcircuit.QuantumCircuit
The primitive which defines the behavior of the underlying State function.
settings
Return settings.
Return type
Dict