You're reading the documentation of the 0.2. For the latest released version, please have a look at 0.4.

merlin.measurement.autodiff module

Automatic differentiation handling for sampling.

class merlin.measurement.autodiff.AutoDiffProcess(sampling_method='multinomial')

Handles automatic differentiation backend and sampling noise integration.

autodiff_backend(needs_gradient, apply_sampling, shots)

Determine sampling configuration based on gradient requirements.

class merlin.measurement.autodiff.SamplingProcess(method='multinomial')

Handles quantum measurement sampling with different methods.

This class provides functionality to simulate quantum measurement noise by applying different sampling strategies to probability distributions.

pcvl_sampler(distribution, shots, method=None)

Apply sampling noise to a probability distribution.

Args:: distribution: Input probability distribution tensor method: Sampling method to use (‘multinomial’, ‘binomial’, or ‘gaussian’), defaults to the initialized method shots: Number of measurement shots to simulate
Returns:: Noisy probability distribution after sampling
Raises:: ValueError: If method is not one of the valid options