ListOp#
- class qiskit.opflow.list_ops.ListOp(oplist, combo_fn=None, coeff=1.0, abelian=False, grad_combo_fn=None)[fuente]#
Bases:
OperatorBase
Deprecated: A Class for manipulating List Operators, and parent class to
SummedOp
,ComposedOp
andTensoredOp
.List Operators are classes for storing and manipulating lists of Operators, State functions, or Measurements, and include some rule or
combo_fn
defining how the Operator functions of the list constituents should be combined to form to cumulative Operator function of theListOp
. For example, aSummedOp
has an addition-basedcombo_fn
, so once the Operators in its list are evaluated against some bitstring to produce a list of results, we know to add up those results to produce the final result of theSummedOp
’s evaluation. In theory, thiscombo_fn
can be any function over classical complex values, but for convenience we’ve chosen for them to be defined over NumPy arrays and values. This way, large numbers of evaluations, such as after callingto_matrix
on the list constituents, can be efficiently combined. While the combination function is defined over classical values, it should be understood as the operation by which each Operators” underlying function is combined to form the underlying Operator function of theListOp
. In this way, theListOps
are the basis for constructing large and sophisticated Operators, State Functions, and Measurements.The base
ListOp
class is particularly interesting, as itscombo_fn
is «the identity list Operation». Meaning, if we understand thecombo_fn
as a function from a list of complex values to some output, one such function is returning the list as-is. This is powerful for constructing compact hierarchical Operators which return many measurements in multiple dimensional lists.Obsoleto desde la versión 0.24.0: The class
qiskit.opflow.list_ops.list_op.ListOp
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.- Parámetros:
oplist (Sequence[OperatorBase]) – The list of
OperatorBases
defining this Operator’s underlying function.combo_fn (Callable | None) – The recombination function to combine classical results of the
oplist
Operators” eval functions (e.g. sum). Default is lambda x: x.coeff (complex | ParameterExpression) – A coefficient multiplying the operator
abelian (bool) – Indicates whether the Operators in
oplist
are known to mutually commute.grad_combo_fn (Callable | None) – The gradient of recombination function. If None, the gradient will be computed automatically.
the (Note that the default "recombination function" lambda above is essentially) –
values (identity - it accepts the list of) –
list. (and returns them in a) –
Attributes
- INDENTATION = ' '#
- abelian#
Whether the Operators in
oplist
are known to commute with one another.- Devuelve:
A bool indicating whether the
oplist
is Abelian.
- coeff#
The scalar coefficient multiplying the Operator.
- Devuelve:
The coefficient.
- coeffs#
Return a list of the coefficients of the operators listed. Raises exception for nested Listops.
- combo_fn#
The function defining how to combine
oplist
(or Numbers, or NumPy arrays) to produce the Operator’s underlying function. For example, SummedOp’s combination function is to add all of the Operators inoplist
.- Devuelve:
The combination function.
- distributive#
Indicates whether the ListOp or subclass is distributive under composition. ListOp and SummedOp are, meaning that (opv @ op) = (opv[0] @ op + opv[1] @ op) (using plus for SummedOp, list for ListOp, etc.), while ComposedOp and TensoredOp do not behave this way.
- Devuelve:
A bool indicating whether the ListOp is distributive under composition.
- grad_combo_fn#
The gradient of
combo_fn
.
- instance_id#
Return the unique instance id.
- num_qubits#
- oplist#
The list of
OperatorBases
defining the underlying function of this Operator.- Devuelve:
The Operators defining the ListOp
- parameters#
- settings#
Return settings.
Methods
- add(other)[fuente]#
Return Operator addition of self and other, overloaded by
+
.- Parámetros:
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).- Devuelve:
An
OperatorBase
equivalent to the sum of self and other.- Tipo del valor devuelto:
- adjoint()[fuente]#
Return a new Operator equal to the Operator’s adjoint (conjugate transpose), overloaded by
~
. For StateFns, this also turns the StateFn into a measurement.- Devuelve:
An
OperatorBase
equivalent to the adjoint of self.- Tipo del valor devuelto:
- assign_parameters(param_dict)[fuente]#
Binds scalar values to any Terra
Parameters
in the coefficients or primitives of the Operator, or substitutes oneParameter
for another. This method differs from Terra’sassign_parameters
in that it also supports lists of values to assign for a giveParameter
, in which case self will be copied for each parameterization in the binding list(s), and all the copies will be returned in anOpList
. If lists of parameterizations are used, everyParameter
in the param_dict must have the same length list of parameterizations.- Parámetros:
param_dict (dict) – The dictionary of
Parameters
to replace, and values or lists of values by which to replace them.- Devuelve:
The
OperatorBase
with theParameters
in self replaced by the values orParameters
in param_dict. If param_dict contains parameterization lists, thisOperatorBase
is anOpList
.- Tipo del valor devuelto:
- compose(other, permutation=None, front=False)[fuente]#
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.
- Parámetros:
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)
.
- Devuelve:
An
OperatorBase
equivalent to the function composition of self and other.- Tipo del valor devuelto:
- static default_combo_fn(x)[fuente]#
ListOp default combo function i.e. lambda x: x
- Tipo del valor devuelto:
- equals(other)[fuente]#
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.- Parámetros:
other (OperatorBase) – The
OperatorBase
to compare to self.- Devuelve:
A bool equal to the equality of self and other.
- Tipo del valor devuelto:
- eval(front=None)[fuente]#
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).ListOp’s eval recursively evaluates each Operator in
oplist
, and combines the results using the recombination functioncombo_fn
.- Parámetros:
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.
- Devuelve:
The output of the
oplist
Operators” evaluation function, combined with thecombo_fn
. If either self or front contain properListOps
(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.- Muestra:
NotImplementedError – Raised if called for a subclass which is not distributive.
TypeError – Operators with mixed hierarchies, such as a ListOp containing both PrimitiveOps and ListOps, are not supported.
NotImplementedError – Attempting to call ListOp’s eval from a non-distributive subclass.
- Tipo del valor devuelto:
- exp_i()[fuente]#
Return an
OperatorBase
equivalent to an exponentiation of self * -i, e^(-i*op).- Tipo del valor devuelto:
- log_i(massive=False)[fuente]#
Return a
MatrixOp
equivalent to log(H)/-i for this operator H. This function is the effective inverse of exp_i, equivalent to finding the Hermitian Operator which produces self when exponentiated. For proper ListOps, applieslog_i
to all ops in oplist.- Tipo del valor devuelto:
- mul(scalar)[fuente]#
Returns the scalar multiplication of the Operator, overloaded by
*
, including support for Terra’sParameters
, which can be bound to values later (viabind_parameters
).- Parámetros:
scalar (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.- Devuelve:
An
OperatorBase
equivalent to product of self and scalar.- Tipo del valor devuelto:
- permute(permutation)[fuente]#
Permute the qubits of the operator.
- Parámetros:
permutation (List[int]) – A list defining where each qubit should be permuted. The qubit at index j should be permuted to position permutation[j].
- Devuelve:
A new ListOp representing the permuted operator.
- Muestra:
OpflowError – if indices do not define a new index for each qubit.
- Tipo del valor devuelto:
- power(exponent)[fuente]#
Return Operator composed with self multiple times, overloaded by
**
.- Tipo del valor devuelto:
- primitive_strings()[fuente]#
Return a set of strings describing the primitives contained in the Operator. For example,
{'QuantumCircuit', 'Pauli'}
. For hierarchical Operators, such asListOps
, this can help illuminate the primitives represented in the various recursive levels, and therefore which conversions can be applied.
- reduce()[fuente]#
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.
- Devuelve:
The reduced
OperatorBase
.- Tipo del valor devuelto:
- tensor(other)[fuente]#
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.
- Parámetros:
other (OperatorBase) – The
OperatorBase
to tensor product with self.- Devuelve:
An
OperatorBase
equivalent to the tensor product of self and other.- Tipo del valor devuelto:
- tensorpower(other)[fuente]#
Return tensor product with self multiple times, overloaded by
^
.- Parámetros:
other (int) – The int number of times to tensor product self with itself via
tensorpower
.- Devuelve:
An
OperatorBase
equivalent to the tensorpower of self by other.- Tipo del valor devuelto:
- to_circuit_op()[fuente]#
Returns an equivalent Operator composed of only QuantumCircuit-based primitives, such as
CircuitOp
andCircuitStateFn
.- Tipo del valor devuelto:
- to_matrix(massive=False)[fuente]#
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.- Devuelve:
The NumPy
ndarray
equivalent to this Operator.- Tipo del valor devuelto:
- to_matrix_op(massive=False)[fuente]#
Returns an equivalent Operator composed of only NumPy-based primitives, such as
MatrixOp
andVectorStateFn
.- Tipo del valor devuelto:
- to_pauli_op(massive=False)[fuente]#
Returns an equivalent Operator composed of only Pauli-based primitives, such as
PauliOp
.- Tipo del valor devuelto:
- to_spmatrix()[fuente]#
Returns SciPy sparse matrix representation of the Operator.
- Devuelve:
CSR sparse matrix representation of the Operator, or List thereof.
- Tipo del valor devuelto:
spmatrix | List[spmatrix]
- traverse(convert_fn, coeff=None)[fuente]#
Apply the convert_fn to each node in the oplist.
- Parámetros:
convert_fn (Callable) – The function to apply to the internal OperatorBase.
coeff (complex | ParameterExpression | None) – A coefficient to multiply by after applying convert_fn. If it is None, self.coeff is used instead.
- Devuelve:
The converted ListOp.
- Tipo del valor devuelto: