SPSASamplerGradient#

class qiskit.algorithms.gradients.SPSASamplerGradient(sampler, epsilon, batch_size=1, seed=None, options=None)[ソース]#

ベースクラス: BaseSamplerGradient

Compute the gradients of the sampling probability by the Simultaneous Perturbation Stochastic Approximation (SPSA) [1].

Reference: [1] J. C. Spall, Adaptive stochastic approximation by the simultaneous perturbation method in IEEE Transactions on Automatic Control, vol. 45, no. 10, pp. 1839-1853, Oct 2020, doi: 10.1109/TAC.2000.880982.

パラメータ:

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

  • epsilon (float) – The offset size for the SPSA gradients.

  • batch_size (int) – number of gradients to average.

  • seed (int | None) – The seed for a random perturbation vector.

  • 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

例外:

ValueError – If epsilon is not positive.

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.

戻り値:

The gradient default + sampler options.

Methods

run(circuits, parameter_values, parameters=None, **options)#

Run the job of the sampler gradient on the given circuits.

パラメータ:

  • circuits (Sequence[QuantumCircuit]) – The list of quantum circuits to compute the gradients.

  • parameter_values (Sequence[Sequence[float]]) – The list of parameter values to be bound to the circuit.

  • parameters (Sequence[Sequence[Parameter] | None] | None) – The sequence of parameters to calculate only the gradients of the specified parameters. Each sequence of parameters corresponds to a circuit in circuits. Defaults to None, which means that the gradients of all parameters in each circuit are calculated. None in the sequence means that the gradients of all parameters in the corresponding circuit are calculated.

  • options – 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

戻り値:

The job object of the gradients of the sampling probability. The i-th result corresponds to circuits[i] evaluated with parameters bound as parameter_values[i]. The j-th quasi-probability distribution in the i-th result corresponds to the gradients of the sampling probability for the j-th parameter in circuits[i].

例外:

ValueError – Invalid arguments are given.

戻り値の型:

AlgorithmJob

update_default_options(**options)#

Update the gradient’s default options setting.

パラメータ:

**options – The fields to update the default options.