CNOTUnitCircuit¶

class CNOTUnitCircuit(num_qubits, cnots, tol=0.0, name=None)[fuente]¶

Bases: ApproximateCircuit

A class that represents an approximate circuit based on CNOT unit blocks.

Parámetros

num_qubits (int) – the number of qubits in this circuit.
cnots (ndarray) – an array of dimensions (2, L) indicating where the CNOT units will be placed.
tol (Optional[float]) – angle parameter less or equal this (small) value is considered equal zero and corresponding gate is not inserted into the output circuit (because it becomes identity one in this case).
name (Optional[str]) – name of this circuit

Muestra

ValueError – if an unsupported parameter is passed.

Methods Defined Here

build

Constructs a Qiskit quantum circuit out of the parameters (angles) of this circuit. If a

Attributes

ancillas¶

Returns a list of ancilla bits in the order that the registers were added.

Tipo del valor devuelto: List[AncillaQubit]

calibrations¶

Return calibration dictionary.

The custom pulse definition of a given gate is of the form {'gate_name': {(qubits, params): schedule}}

Tipo del valor devuelto: dict

clbits¶

Returns a list of classical bits in the order that the registers were added.

Tipo del valor devuelto: List[Clbit]

data¶

Return the circuit data (instructions and context).

Devuelve: a list-like object containing the CircuitInstructions for each instruction.
Tipo del valor devuelto: QuantumCircuitData

extension_lib = 'include "qelib1.inc";'¶

global_phase¶

Return the global phase of the circuit in radians.

Tipo del valor devuelto: Union[ParameterExpression, float]

header = 'OPENQASM 2.0;'¶

instances = 2536¶

metadata¶

The user provided metadata associated with the circuit

The metadata for the circuit is a user provided dict of metadata for the circuit. It will not be used to influence the execution or operation of the circuit, but it is expected to be passed between all transforms of the circuit (ie transpilation) and that providers will associate any circuit metadata with the results it returns from execution of that circuit.

Tipo del valor devuelto: dict

num_ancillas¶

Return the number of ancilla qubits.

Tipo del valor devuelto: int

num_clbits¶

Return number of classical bits.

Tipo del valor devuelto: int

num_parameters¶

The number of parameter objects in the circuit.

Tipo del valor devuelto: int

num_qubits¶

Return number of qubits.

Tipo del valor devuelto: int

op_start_times¶

Return a list of operation start times.

This attribute is enabled once one of scheduling analysis passes runs on the quantum circuit.

Tipo del valor devuelto: List[int]
Devuelve: List of integers representing instruction start times. The index corresponds to the index of instruction in QuantumCircuit.data.
Muestra: AttributeError – When circuit is not scheduled.

parameters¶

The parameters defined in the circuit.

This attribute returns the Parameter objects in the circuit sorted alphabetically. Note that parameters instantiated with a ParameterVector are still sorted numerically.

Ejemplos

The snippet below shows that insertion order of parameters does not matter.

>>> from qiskit.circuit import QuantumCircuit, Parameter
>>> a, b, elephant = Parameter("a"), Parameter("b"), Parameter("elephant")
>>> circuit = QuantumCircuit(1)
>>> circuit.rx(b, 0)
>>> circuit.rz(elephant, 0)
>>> circuit.ry(a, 0)
>>> circuit.parameters  # sorted alphabetically!
ParameterView([Parameter(a), Parameter(b), Parameter(elephant)])

Bear in mind that alphabetical sorting might be unituitive when it comes to numbers. The literal «10» comes before «2» in strict alphabetical sorting.

>>> from qiskit.circuit import QuantumCircuit, Parameter
>>> angles = [Parameter("angle_1"), Parameter("angle_2"), Parameter("angle_10")]
>>> circuit = QuantumCircuit(1)
>>> circuit.u(*angles, 0)
>>> circuit.draw()
   ┌─────────────────────────────┐
q: ┤ U(angle_1,angle_2,angle_10) ├
   └─────────────────────────────┘
>>> circuit.parameters
ParameterView([Parameter(angle_1), Parameter(angle_10), Parameter(angle_2)])

To respect numerical sorting, a ParameterVector can be used.

>>> from qiskit.circuit import QuantumCircuit, Parameter, ParameterVector
>>> x = ParameterVector("x", 12)
>>> circuit = QuantumCircuit(1)
>>> for x_i in x:
...     circuit.rx(x_i, 0)
>>> circuit.parameters
ParameterView([
    ParameterVectorElement(x[0]), ParameterVectorElement(x[1]),
    ParameterVectorElement(x[2]), ParameterVectorElement(x[3]),
    ..., ParameterVectorElement(x[11])
])

Tipo del valor devuelto: ParameterView
Devuelve: The sorted Parameter objects in the circuit.

prefix = 'circuit'¶

qubits¶

Returns a list of quantum bits in the order that the registers were added.

Tipo del valor devuelto: List[Qubit]

thetas¶

Returns a vector of rotation angles used by CNOT units in this circuit.

Tipo del valor devuelto: ndarray
Devuelve: Parameters of the rotation gates in this circuit.