OperatorBase
class OperatorBase
Bases: qiskit.opflow.mixins.star_algebra.StarAlgebraMixin
, qiskit.opflow.mixins.tensor.TensorMixin
, abc.ABC
A base class for all Operators: PrimitiveOps, StateFns, ListOps, etc. Operators are defined as functions which take one complex binary function to another. These complex binary functions are represented by StateFns, which are themselves a special class of Operators taking only the Zero
StateFn to the complex binary function they represent.
Operators can be used to construct complicated functions and computation, and serve as the building blocks for algorithms.
Methods Defined Here
add
abstract OperatorBase.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
OperatorBase
Returns
An OperatorBase
equivalent to the sum of self and other.
adjoint
abstract OperatorBase.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
OperatorBase
Returns
An OperatorBase
equivalent to the adjoint of self.
assign_parameters
abstract OperatorBase.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
[ParameterExpression
, Union
[complex
, ParameterExpression
, List
[Union
[complex
, ParameterExpression
]]]]) – The dictionary of Parameters
to replace, and values or lists of values by which to replace them.
Return type
OperatorBase
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
OperatorBase.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
compose
abstract OperatorBase.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.
Parameters
- other (
OperatorBase
) – TheOperatorBase
with which to compose self. - permutation (
Optional
[List
[int
]]) –List[int]
which defines permutation on other operator. - front (
bool
) – If front==True, returnother.compose(self)
.
Return type
OperatorBase
Returns
An OperatorBase
equivalent to the function composition of self and other.
copy
OperatorBase.copy()
Return a deep copy of the Operator.
Return type
OperatorBase
equals
abstract 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
abstract OperatorBase.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.
is_hermitian
OperatorBase.is_hermitian()
Return True if the operator is hermitian.
Returns: Boolean value
Return type
bool
mul
abstract OperatorBase.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
OperatorBase.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.
permute
abstract OperatorBase.permute(permutation)
Permutes the qubits of the operator.
Parameters
permutation (List
[int
]) – A list defining where each qubit should be permuted. The qubit at index j should be permuted to position permutation[j].
Return type
OperatorBase
Returns
A new OperatorBase containing the permuted operator.
Raises
OpflowError – if indices do not define a new index for each qubit.
primitive_strings
abstract 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.
Return type
Set
[str
]
Returns
A set of strings describing the primitives contained within the Operator.
reduce
abstract OperatorBase.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.
Returns
The reduced OperatorBase
.
tensor
abstract OperatorBase.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.
Parameters
other (OperatorBase
) – The OperatorBase
to tensor product with self.
Return type
OperatorBase
Returns
An OperatorBase
equivalent to the tensor product of self and other.
tensorpower
abstract OperatorBase.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_op
abstract OperatorBase.to_circuit_op()
Returns a CircuitOp
equivalent to this Operator.
Return type
OperatorBase
to_matrix
abstract OperatorBase.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.
to_matrix_op
abstract OperatorBase.to_matrix_op(massive=False)
Returns a MatrixOp
equivalent to this Operator.
Return type
OperatorBase
to_spmatrix
OperatorBase.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.
Attributes
INDENTATION
Default value: ' '
instance_id
Return the unique instance id.
Return type
int
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.
parameters
Return a set of Parameter objects contained in the Operator.
settings
Return settings of this object in a dictionary.
You can, for example, use this settings
dictionary to serialize the object in JSON format, if the JSON encoder you use supports all types in the dictionary.
Return type
Dict
Returns
Object settings in a dictionary.