ScalarOp

class ScalarOp(dims, coeff=1)

Scalar identity operator class.

This is a symbolic representation of an scalar identity operator on multiple subsystems. It may be used to initialize a symbolic scalar multiplication of an identity and then be implicitly converted to other kinds of operator subclasses by using the compose(), dot(), tensor(), expand() methods.

Initialize an operator object.

Parameters

• dims (int or tuple) – subsystem dimensions.

• coeff (Number) – scalar coefficient for the identity operator (Default: 1).

Raises

QiskitError – If the optional coefficient is invalid.

Attributes

ScalarOp.atol	The default absolute tolerance parameter for float comparisons.
ScalarOp.coeff	Return the coefficient
ScalarOp.dim	Return tuple (input_shape, output_shape).
ScalarOp.num_qubits	Return the number of qubits if a N-qubit operator or None otherwise.
ScalarOp.qargs	Return the qargs for the operator.
ScalarOp.rtol	The relative tolerance parameter for float comparisons.

Methods

ScalarOp.__call__(qargs)	Return a clone with qargs set
ScalarOp.__mul__(other)
ScalarOp.add(other)	Return the linear operator self + other.
ScalarOp.adjoint()	Return the adjoint of the operator.
ScalarOp.compose(other[, qargs, front])	Return the composed operator.
ScalarOp.conjugate()	Return the conjugate of the operator.
ScalarOp.copy()	Make a deep copy of current operator.
ScalarOp.dot(other[, qargs])	Return the right multiplied operator self * other.
ScalarOp.expand(other)	Return the tensor product operator other ⊗ self.
ScalarOp.input_dims([qargs])	Return tuple of input dimension for specified subsystems.
ScalarOp.is_unitary([atol, rtol])	Return True if operator is a unitary matrix.
ScalarOp.multiply(other)	Return the linear operator other * self.
ScalarOp.output_dims([qargs])	Return tuple of output dimension for specified subsystems.
ScalarOp.power(n)	Return the power of the ScalarOp.
ScalarOp.reshape([input_dims, output_dims])	Return a shallow copy with reshaped input and output subsystem dimensions.
ScalarOp.set_atol(value)	Set the class default absolute tolerance parameter for float comparisons.
ScalarOp.set_rtol(value)	Set the class default relative tolerance parameter for float comparisons.
ScalarOp.subtract(other)	Return the linear operator self - other.
ScalarOp.tensor(other)	Return the tensor product operator self ⊗ other.
ScalarOp.to_matrix()	Convert to a Numpy matrix.
ScalarOp.to_operator()	Convert to an Operator object.
ScalarOp.transpose()	Return the transpose of the operator.
ScalarOp.__call__(qargs)	Return a clone with qargs set
ScalarOp.__mul__(other)