braket.experimental.algorithms.adaptive_shot_allocation.adaptive_allocator_braket_helpers module

Helper functions to handle quantum measurements and adaptive shot allocation experiments on Amazon Braket.

braket.experimental.algorithms.adaptive_shot_allocation.adaptive_allocator_braket_helpers.observable_from_string(pauli_string: str) → Observable

Convert Pauli string to Braket observable.

Parameters:

s (str) – Pauli string representation (e.g., “IXYZ”)

Returns:

Observable – Corresponding Braket observable

braket.experimental.algorithms.adaptive_shot_allocation.adaptive_allocator_braket_helpers.run_fixed_allocation(device: LocalSimulator | AwsDevice, circuit: Circuit, estimator: AdaptiveShotAllocator, shot_allocation: List[int]) → List[List[Dict[Tuple[int, int], int]]]

Run experiment with a specific shot allocation.

Parameters:

• device – Quantum device to run the experiment on

• circuit – Quantum circuit to measure

• estimator – AdaptiveShotAllocator instance containing Pauli terms

• shot_allocation – Number of shots to use for each measurement group

Returns:

MeasurementData – Measurement outcomes for each term pair

braket.experimental.algorithms.adaptive_shot_allocation.adaptive_allocator_braket_helpers.run_adaptive_allocation(device: LocalSimulator | AwsDevice, circuit: Circuit, estimator: AdaptiveShotAllocator, shots_per_round: int, num_rounds: int, verbose: bool = False) → List[List[Dict[Tuple[int, int], int]]]

Run adaptive shot allocation process.

Parameters:

• device – Quantum device to run the experiment on

• circuit – Quantum circuit to measure

• estimator – AdaptiveShotAllocator instance

• shots_per_round – Number of shots to allocate in each round

• num_rounds – Number of adaptation rounds

• verbose – Whether to print progress information

Returns:

MeasurementData – Final measurement outcomes