GR¶

class GR(num_qubits, theta, phi)[código fonte]¶

Bases: QuantumCircuit

Global R gate.

Circuit symbol:

     ┌──────────┐
q_0: ┤0         ├
     │          │
q_1: ┤1 GR(ϴ,φ) ├
     │          │
q_2: ┤2         ├
     └──────────┘

The global R gate is native to atomic systems (ion traps, cold neutrals). The global R can be applied to multiple qubits simultaneously.

In the one-qubit case, this is equivalent to an R(theta, phi) operation, and is thus reduced to the RGate. The global R gate is a direct sum of R operations on all individual qubits.

\[GR(\theta, \phi) = \exp(-i \sum_{i=1}^{n} (\cos(\phi)X_i + \sin(\phi)Y_i) \theta/2)\]

Expanded Circuit:

Create a new Global R (GR) gate.

Parâmetros

num_qubits (int) – number of qubits.
theta (float) – rotation angle about axis determined by phi
phi (float) – angle of rotation axis in xy-plane

Attributes

ancillas¶

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

Tipo de retorno: List[AncillaQubit]

calibrations¶

Return calibration dictionary.

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

Tipo de retorno: dict

clbits¶

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

Tipo de retorno: List[Clbit]

data¶

Return the circuit data (instructions and context).

Retorno: a list-like object containing the CircuitInstructions for each instruction.
Tipo de retorno: QuantumCircuitData

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

global_phase¶

Return the global phase of the circuit in radians.

Tipo de retorno: Union[ParameterExpression, float]

header = 'OPENQASM 2.0;'¶

instances = 94¶

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 de retorno: dict

num_ancillas¶

Return the number of ancilla qubits.

Tipo de retorno: int

num_clbits¶

Return number of classical bits.

Tipo de retorno: int

num_parameters¶

The number of parameter objects in the circuit.

Tipo de retorno: int

num_qubits¶

Return number of qubits.

Tipo de retorno: 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 de retorno: List[int]
Retorno: List of integers representing instruction start times. The index corresponds to the index of instruction in QuantumCircuit.data.
Levanta: 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.

Examples

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 de retorno: ParameterView
Retorno: 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 de retorno: List[Qubit]