LinCombSamplerGradient

class LinCombSamplerGradient(sampler, options=None)

기반 클래스: BaseSamplerGradient

Compute the gradients of the sampling probability. This method employs a linear combination of unitaries [1].

Reference: [1] Schuld et al., Evaluating analytic gradients on quantum hardware, 2018 arXiv:1811.11184

매개변수

• 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

SUPPORTED_GATES = ['rx', 'ry', 'rz', 'rzx', 'rzz', 'ryy', 'rxx', 'cx', 'cy', 'cz', 'ccx', 'swap', 'iswap', 'h', 't', 's', 'sdg', 'x', 'y', 'z']

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.

반환

The gradient default + sampler options.