Optimizers docs

[fran-scala]

Hi team,
I am currently working with the cudaq.optimizers module, specifically the Adam optimizer. While I can see the underlying implementation in py_optimizer.cpp and ensmallen.cpp, the public Python API reference lacks a detailed breakdown of the configurable attributes (e.g., step_size, beta1, beta2, epsilon).

The same applies to SGD and SPSA.

Could you provide a detailed documentation page or docstrings for these optimizers? Specifically, it would be helpful to have:
A complete list of configurable properties for each optimizer.
The default values for these parameters.
Examples of how to correctly override them in Python (e.g., optimizer.step_size = 0.01).
This would greatly help users fine-tune hybrid quantum-classical algorithms like VQE. Thank you!

[sacpis]

Hey @fran-scala, Sure.

[fran-scala]

Cool thanks! I don't know if similar issues are present also for other tools

[sacpis]

Cool thanks! I don't know if similar issues are present also for other tools

Have updated the docs in the PR 3822.

[sacpis]

The PR #3822 has been merged.