Operation#

class Operation(name=None, num_qubits=0, num_clbits=0, definition=None, params=[], init_op=None)[source]#

This class describes operations like quantum gates, measurements or classical logic gates. Operation objects do not carry information about which Qubit/Clbits they are applied to. This can be found in the Instruction class, which is a combination of an Operation object together with its operands.

Operation objects consist of five basic attributes:

.name : A string identifying the operation
.num_qubits : An integer specifying the amount qubits on which to operate
.num_clbits : An integer specifying the amount of classical bits on which to operate.
.params : A list of floats specifying the parameters of the Operation
.definition : A QuantumCircuit. For synthesized (i.e. non-elementary) operations, this QuantumCircuit specifies the operation.

Operation objects together with their Operands can be appended to QuantumCircuits by using the append method.

QuantumCircuits can be turned into Operations by using the to_gate method.

Examples

We create a QuantumCircuit and append a couple of operations

>>> from qrisp import QuantumCircuit, XGate, CXGate, PGate
>>> qc = QuantumCircuit(2)
>>> qc.append(XGate(), 0)
>>> qc.append(CXGate(), [0,1])
>>> qc.append(PGate(0.5), 1)
>>> synthed_op = qc.to_op()
>>> qc.append(synthed_op, qc.qubits)

Methods#

`Operation.copy`()	Returns a copy of the Operation object.
`Operation.get_unitary`([decimals])	Returns the unitary matrix (if applicable) of the Operation as a numpy array.
`Operation.inverse`()	Returns the inverse of this Operation (if applicable).
`Operation.control`([num_ctrl_qubits, ...])	Returns the controlled version of this Operation (if applicable).
`Operation.bind_parameters`(subs_dic)	Binds abstract parameters to specified values.