DerivativeBase

class qiskit.opflow.gradients.DerivativeBase

기반 클래스: ConverterBase

Deprecated: Base class for differentiating opflow objects.

Converter for differentiating opflow objects and handling things like properly differentiating combo_fn’s and enforcing product rules when operator coefficients are parameterized.

This is distinct from CircuitGradient converters which use quantum techniques such as parameter shifts and linear combination of unitaries to compute derivatives of circuits.

CircuitGradient - uses quantum techniques to get derivatives of circuits DerivativeBase - uses classical techniques to differentiate opflow data structures

버전 0.24.0부터 폐지됨: The class qiskit.opflow.gradients.derivative_base.DerivativeBase is deprecated as of qiskit-terra 0.24.0. It will be removed no earlier than 3 months after the release date. For code migration guidelines, visit https://qisk.it/opflow_migration.

Methods

abstract convert(operator, params=None)

매개변수:

• operator (OperatorBase) – The operator we are taking the gradient, Hessian or QFI of

• params (ParameterVector | ParameterExpression | List[ParameterExpression] | None) – The parameters we are taking the gradient, Hessian or QFI with respect to.

반환:

An operator whose evaluation yields the gradient, Hessian or QFI.

예외 발생:

ValueError – If params contains a parameter not present in operator.

반환 형식:

OperatorBase

gradient_wrapper(operator, bind_params, grad_params=None, backend=None, expectation=None)

Get a callable function which provides the respective gradient, Hessian or QFI for given parameter values. This callable can be used as gradient function for optimizers.

매개변수:

• operator (OperatorBase) – The operator for which we want to get the gradient, Hessian or QFI.

• bind_params (ParameterExpression | ParameterVector | List[ParameterExpression]) – The operator parameters to which the parameter values are assigned.

• grad_params (ParameterExpression | ParameterVector | List[ParameterExpression] | Tuple[ParameterExpression, ParameterExpression] | List[Tuple[ParameterExpression, ParameterExpression]] | None) – The parameters with respect to which we are taking the gradient, Hessian or QFI. If grad_params = None, then grad_params = bind_params

• backend (Backend | QuantumInstance | None) – The quantum backend or QuantumInstance to use to evaluate the gradient, Hessian or QFI.

• expectation (ExpectationBase | None) – The expectation converter to be used. If none is set then PauliExpectation() is used.

반환:

Function to compute a gradient, Hessian or QFI. The function takes an iterable as argument which holds the parameter values.

반환 형식:

Callable[[Iterable], ndarray]

static parameter_expression_grad(param_expr, param)

Get the derivative of a parameter expression w.r.t. the given parameter.

버전 0.18.0부터 폐지됨: The method qiskit.opflow.gradients.derivative_base.DerivativeBase.parameter_expression_grad() is deprecated as of qiskit-terra 0.18.0. It will be removed no earlier than 3 months after the release date. Instead, use the ParameterExpression.gradient method.

매개변수:

• param_expr (ParameterExpression) – The Parameter Expression for which we compute the derivative

• param (ParameterExpression) – Parameter w.r.t. which we want to take the derivative

반환:

ParameterExpression representing the gradient of param_expr w.r.t. param

반환 형식:

ParameterExpression | float