BaseSamplerGradient

class BaseSamplerGradient(sampler, options=None)

Bases: abc.ABC

Base class for a SamplerGradient to compute the gradients of the sampling probability.

Parameters

• sampler (BaseSampler) – The sampler used to compute the gradients.

• options (Options | None) – Primitive backend runtime options used for circuit execution. The order of priority is: options in run method > gradient’s default options > primitive’s default setting. Higher priority setting overrides lower priority setting

Methods

run	Run the job of the sampler gradient on the given circuits.
update_default_options	Update the gradient's default options setting.

Attributes

options

Return the union of sampler options setting and gradient default options, where, if the same field is set in both, the gradient’s default options override the primitive’s default setting.

Return type

Options

Returns

The gradient default + sampler options.