qiskit-documentation/docs/api/qiskit/0.39/qiskit.opflow.gradients.Gra...

94 lines
4.4 KiB
Plaintext
Raw Permalink Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

---
title: Gradient
description: API reference for qiskit.opflow.gradients.Gradient
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.opflow.gradients.Gradient
---
# Gradient
<Class id="qiskit.opflow.gradients.Gradient" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.22/qiskit/opflow/gradients/gradient.py" signature="Gradient(grad_method='param_shift', **kwargs)" modifiers="class">
Bases: [`qiskit.opflow.gradients.gradient_base.GradientBase`](qiskit.opflow.gradients.GradientBase "qiskit.opflow.gradients.gradient_base.GradientBase")
Convert an operator expression to the first-order gradient.
**Parameters**
* **grad\_method** (`Union`\[`str`, [`CircuitGradient`](qiskit.opflow.gradients.CircuitGradient "qiskit.opflow.gradients.circuit_gradients.circuit_gradient.CircuitGradient")]) The method used to compute the state/probability gradient. Can be either `'param_shift'` or `'lin_comb'` or `'fin_diff'`. Ignored for gradients w\.r.t observable parameters.
* **kwargs** (*dict*) Optional parameters for a CircuitGradient
**Raises**
**ValueError** If method != `fin_diff` and `epsilon` is not None.
## Methods Defined Here
### convert
<Function id="qiskit.opflow.gradients.Gradient.convert" signature="Gradient.convert(operator, params=None)">
**Parameters**
* **operator** ([`OperatorBase`](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")) The operator we are taking the gradient of.
* **params** (`Union`\[[`ParameterVector`](qiskit.circuit.ParameterVector "qiskit.circuit.parametervector.ParameterVector"), [`ParameterExpression`](qiskit.circuit.ParameterExpression "qiskit.circuit.parameterexpression.ParameterExpression"), `List`\[[`ParameterExpression`](qiskit.circuit.ParameterExpression "qiskit.circuit.parameterexpression.ParameterExpression")], `None`]) The parameters we are taking the gradient with respect to. If not explicitly passed, they are inferred from the operator and sorted by name.
**Return type**
[`OperatorBase`](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")
**Returns**
An operator whose evaluation yields the Gradient.
**Raises**
* **ValueError** If `params` contains a parameter not present in `operator`.
* **ValueError** If `operator` is not parameterized.
</Function>
### get\_gradient
<Function id="qiskit.opflow.gradients.Gradient.get_gradient" signature="Gradient.get_gradient(operator, params)">
Get the gradient for the given operator w\.r.t. the given parameters
**Parameters**
* **operator** ([`OperatorBase`](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")) Operator w\.r.t. which we take the gradient.
* **params** (`Union`\[[`ParameterExpression`](qiskit.circuit.ParameterExpression "qiskit.circuit.parameterexpression.ParameterExpression"), [`ParameterVector`](qiskit.circuit.ParameterVector "qiskit.circuit.parametervector.ParameterVector"), `List`\[[`ParameterExpression`](qiskit.circuit.ParameterExpression "qiskit.circuit.parameterexpression.ParameterExpression")]]) Parameters w\.r.t. which we compute the gradient.
**Return type**
[`OperatorBase`](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")
**Returns**
Operator which represents the gradient w\.r.t. the given params.
**Raises**
* **ValueError** If `params` contains a parameter not present in `operator`.
* [**OpflowError**](qiskit.opflow.OpflowError "qiskit.opflow.OpflowError") If the coefficient of the operator could not be reduced to 1.
* [**OpflowError**](qiskit.opflow.OpflowError "qiskit.opflow.OpflowError") If the differentiation of a combo\_fn requires JAX but the package is not installed.
* **TypeError** If the operator does not include a StateFn given by a quantum circuit
* **Exception** Unintended code is reached
* **MissingOptionalLibraryError** jax not installed
</Function>
## Attributes
### grad\_method
<Attribute id="qiskit.opflow.gradients.Gradient.grad_method">
Returns `CircuitGradient`.
**Return type**
[`CircuitGradient`](qiskit.opflow.gradients.CircuitGradient "qiskit.opflow.gradients.circuit_gradients.circuit_gradient.CircuitGradient")
**Returns**
`CircuitGradient`.
</Attribute>
</Class>