the optimizer such that the study object of the optimizer keeps track of the results and the next sample will be aware of all previous studies

This is done from the optimizer side, by sampling the scalars reported by any experiment the optimizer created.

I am looking for a way to manually sample and report from and to the optimizer...
.. I can avoid running unnecessary common heavy setup, for a light weight experiment

Maybe it makes sense to inherit from the Optimizer and add some logic into the creation of a new experiment ? wouldn't that be easier (not saying we cannot store the internal state of the optimizer on an artifact for example, just wondering what would be the best option here). wdyt ?