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SummedOp

class SummedOp(oplist, coeff=1.0, abelian=False)

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A class for lazily representing sums of Operators. Often Operators cannot be efficiently added to one another, but may be manipulated further so that they can be later. This class holds logic to indicate that the Operators in oplist are meant to be added together, and therefore if they reach a point in which they can be, such as after evaluation or conversion to matrices, they can be reduced by addition.

Parameters

  • oplist (List[OperatorBase]) – The Operators being summed.
  • coeff (Union[int, float, complex, ParameterExpression]) – A coefficient multiplying the operator
  • abelian (bool) – Indicates whether the Operators in oplist are known to mutually commute.

Attributes

abelian

Type: bool

Whether the Operators in oplist are known to commute with one another.

Return type

bool

Returns

A bool indicating whether the oplist is Abelian.

coeff

Type: Union[int, float, complex, qiskit.circuit.parameterexpression.ParameterExpression]

The scalar coefficient multiplying the Operator.

Return type

Union[int, float, complex, ParameterExpression]

Returns

The coefficient.

combo_fn

Type: Callable

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 in oplist.

Return type

Callable

Returns

The combination function.

distributive

Type: bool

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.

Return type

bool

Returns

A bool indicating whether the ListOp is distributive under composition.

num_qubits

Type: int

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.

oplist

Type: List[qiskit.aqua.operators.operator_base.OperatorBase]

The list of OperatorBases defining the underlying function of this Operator.

Return type

List[OperatorBase]

Returns

The Operators defining the ListOp


Methods

__getitem__

SummedOp.__getitem__(offset)

Allows array-indexing style access to the Operators in oplist.

Parameters

offset (int) – The index of oplist desired.

Return type

OperatorBase

Returns

The OperatorBase at index offset of oplist.

__len__

SummedOp.__len__()

Length of oplist.

Return type

int

Returns

An int equal to the length of oplist.

__mul__

SummedOp.__mul__(other)

Overload * for Operator scalar multiplication.

Parameters

other (Number) – 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.

add

SummedOp.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

SummedOp.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

SummedOp.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

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

SummedOp.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

SummedOp.compose(other)

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) – The OperatorBase with which to compose self.

Return type

OperatorBase

Returns

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

equals

SummedOp.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

SummedOp.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).

ListOp’s eval recursively evaluates each Operator in oplist, and combines the results using the recombination function combo_fn.

Parameters

front (Union[str, Dict[str, complex], OperatorBase, None]) – The bitstring, dict of bitstrings (with values being coefficients), or StateFn to evaluated by the Operator’s underlying function.

Return type

Union[OperatorBase, float, complex, list]

Returns

The output of the oplist Operators’ evaluation function, combined with the combo_fn. 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.

Raises

  • 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.

exp_i

SummedOp.exp_i()

Return an OperatorBase equivalent to an exponentiation of self * -i, e^(-i*op).

Return type

OperatorBase

log_i

SummedOp.log_i(massive=False)

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, applies log_i to all ops in oplist.

Return type

OperatorBase

mul

SummedOp.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[int, float, 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

SummedOp.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.

power

SummedOp.power(exponent)

Return Operator composed with self multiple times, overloaded by **.

Parameters

exponent (int) – The int number of times to compose self with itself.

Return type

OperatorBase

Returns

An OperatorBase equivalent to self composed with itself exponent times.

primitive_strings

SummedOp.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

SummedOp.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

OperatorBase

Returns

The reduced OperatorBase.

tensor

SummedOp.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

SummedOp.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

SummedOp.to_circuit_op()

Returns an equivalent Operator composed of only QuantumCircuit-based primitives, such as CircuitOp and CircuitStateFn.

Return type

OperatorBase

to_legacy_op

SummedOp.to_legacy_op(massive=False)

Attempt to return the Legacy Operator representation of the Operator. If self is a SummedOp of PauliOps, will attempt to convert to WeightedPauliOperator, and otherwise will simply convert to MatrixOp and then to MatrixOperator. The Legacy Operators cannot represent StateFns or proper ListOps (meaning not one of the ListOp subclasses), so an error will be thrown if this method is called on such an Operator. Also, Legacy Operators cannot represent unbound Parameter coeffs, so an error will be thrown if any are present in self.

Warn if more than 16 qubits to force having to set massive=True if such a large vector is desired.

Return type

LegacyBaseOperator

Returns

The LegacyBaseOperator representing this Operator.

Raises

TypeError – self is an Operator which cannot be represented by a LegacyBaseOperator, such as StateFn, proper (non-subclass) ListOp, or an Operator with an unbound coeff Parameter.

to_matrix

SummedOp.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

SummedOp.to_matrix_op(massive=False)

Returns an equivalent Operator composed of only NumPy-based primitives, such as MatrixOp and VectorStateFn.

Return type

OperatorBase

to_pauli_op

SummedOp.to_pauli_op(massive=False)

Returns an equivalent Operator composed of only Pauli-based primitives, such as PauliOp.

Return type

OperatorBase

to_spmatrix

SummedOp.to_spmatrix()

Returns SciPy sparse matrix representation of the Operator.

Return type

Union[spmatrix, List[spmatrix]]

Returns

CSR sparse matrix representation of the Operator, or List thereof.

traverse

SummedOp.traverse(convert_fn, coeff=None)

Apply the convert_fn to each node in the oplist.

Return type

OperatorBase

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