qiskit_braket_provider.providers.BraketSampler

class BraketSampler(backend, *, verbatim=False, optimization_level=0, **options)

Runs provided quantum circuit and observable combinations on Amazon Braket devices and returns samples of their outputs.

Initialize the Braket sampler.

Parameters:

• backend (BraketBackend) – The Braket backend to run circuits on.

• verbatim (bool) – Whether to translate the circuit without any modification, in other words without transpiling it. Default: False.

• optimization_level (int | None) –

  The optimization level to pass to qiskit.transpile. From Qiskit:

  • 0: no optimization - basic translation, no optimization, trivial layout

  • 1: light optimization - routing + potential SaberSwap, some gate cancellation and 1Q gate folding

  • 2: medium optimization - better routing (noise aware) and commutative cancellation

  • 3: high optimization - gate resynthesis and unitary-breaking passes

  Default: 0.

__init__(backend, *, verbatim=False, optimization_level=0, **options)

Initialize the Braket sampler.

Parameters:

• backend (BraketBackend) – The Braket backend to run circuits on.

• verbatim (bool) – Whether to translate the circuit without any modification, in other words without transpiling it. Default: False.

• optimization_level (int | None) –

  The optimization level to pass to qiskit.transpile. From Qiskit:

  • 0: no optimization - basic translation, no optimization, trivial layout

  • 1: light optimization - routing + potential SaberSwap, some gate cancellation and 1Q gate folding

  • 2: medium optimization - better routing (noise aware) and commutative cancellation

  • 3: high optimization - gate resynthesis and unitary-breaking passes

  Default: 0.

Methods

__init__(backend, *[, verbatim, ...])	Initialize the Braket sampler.
run(pubs, *[, shots])	Samples circuits with multiple parameter values.