Skip to content

Add favorite candidate #24

@xabomon

Description

@xabomon

Hi all,

If I may, I open this issue to keep track of adding the xfavorite to modCMA.

In short, sampling noise in variational quantum algorithms makes the xbest result with an uncertainty of 1/sqrt(samples). However, CMA is capable of beating the noise floor by suggesting a candidate that is built from the noisy evaluations of the population.
For VQAs this is going to be very important because the hard constrain in the total number of samples that one can take.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions