Gradients (`qiskit_machine_learning.gradients`)¶

Algorithms to calculate the gradient of a cost landscape to optimize a given objective function.

Base Classes¶

`BaseEstimatorGradient`	Base class for an `EstimatorGradient` to compute the gradients of the expectation value.
`BaseSamplerGradient`	Base class for a `SamplerGradient` to compute the gradients of the sampling probability.
`EstimatorGradientResult`	Result of EstimatorGradient.
`SamplerGradientResult`	Result of SamplerGradient.

Linear combination of unitaries¶

`LinCombEstimatorGradient`	Compute the gradients of the expectation values.
`LinCombSamplerGradient`	Compute the gradients of the sampling probability.

Parameter-shift rules¶

`ParamShiftEstimatorGradient`	Compute the gradients of the expectation values by the parameter shift rule [1].
`ParamShiftSamplerGradient`	Compute the gradients of the sampling probability by the parameter shift rule [1].

Simultaneous Perturbation Stochastic Approximation¶

`SPSAEstimatorGradient`	Compute the gradients of the expectation value by the Simultaneous Perturbation Stochastic Approximation (SPSA) [1].
`SPSASamplerGradient`	Compute the gradients of the sampling probability by the Simultaneous Perturbation Stochastic Approximation (SPSA) [1].