qiskit.aqua.algorithms.BernsteinVazirani¶

class BernsteinVazirani(oracle, quantum_instance=None)[소스]¶

The Bernstein-Vazirani algorithm.

The Bernstein-Vazirani algorithm is an extension / restriction of the Deutsch-Jozsa algorithm. The goal of the algorithm is to determine a secret string \(s \in \{0,1\}^n\), given a black box oracle function, that maps \(f:\{0,1\}^n \rightarrow \{0,1\}\) such that \(f(x)=s \cdot x (\bmod 2)\).

매개변수

oracle (Oracle) – The oracle component
quantum_instance (Union[QuantumInstance, Backend, BaseBackend, None]) – Quantum Instance or Backend

__init__(oracle, quantum_instance=None)[소스]¶

매개변수

oracle (Oracle) – The oracle component
quantum_instance (Union[QuantumInstance, Backend, BaseBackend, None]) – Quantum Instance or Backend

Methods

`__init__`(oracle[, quantum_instance])	type oracle `Oracle`
`construct_circuit`([measurement])	Construct the quantum circuit
`run`([quantum_instance])	Execute the algorithm with selected backend.
`set_backend`(backend, **kwargs)	Sets backend with configuration.

Attributes

`backend`	Returns backend.
`quantum_instance`	Returns quantum instance.
`random`	Return a numpy random.

property backend¶

Returns backend.

반환 형식: Union[Backend, BaseBackend]

construct_circuit(measurement=False)[소스]¶

Construct the quantum circuit

매개변수: measurement (bool) – Boolean flag to indicate if measurement should be included in the circuit.
반환값: the QuantumCircuit object for the constructed circuit
반환 형식: QuantumCircuit

property quantum_instance¶

Returns quantum instance.

반환 형식: Optional[QuantumInstance]

property random¶: Return a numpy random.

run(quantum_instance=None, **kwargs)¶

Execute the algorithm with selected backend.

매개변수

quantum_instance (Union[QuantumInstance, Backend, BaseBackend, None]) – the experimental setting.
kwargs (dict) – kwargs

반환값

results of an algorithm.

반환 형식

dict

예외

AquaError – If a quantum instance or backend has not been provided

set_backend(backend, **kwargs)¶

Sets backend with configuration.

반환 형식: None