2

I know that quantum algorithms can be useful for machine learning ("ML") methods, and *vice versa*. For example if we use QAOA we can use for the optimization part different types of ML methods, like SGD, Bayesian etc.

Now we can hold on that the both topics can be useful for each of them but is it possible that we can convert any ML method to a quantum ML method ?

Is it possible to use QML in NISQ era?

1It is not entirely clear what you are asking, could you be a bit more specific? – forky40 – 2021-02-05T22:02:36.673

"* is it possible that we can convert any ML method to a quantum ML method ?*" this will totally depend on what exectly you define as "ML method" and what would you consider a valid "conversion". The naive answer is that sure, you can "convert" any classical (ML or otherwise) algorithm into a quantum one. That doesn't mean that this conversion would give you any sort of computational advantage though. – glS – 2021-02-07T14:44:16.483