Proposal : Quantum Autoencoder

[gcattan]

This is a quantum autoencoder, that we transformed into a sklearn transformer.

The example illustrates a possible pipeline with RG.

This is an early research, there are no positive results, and there is a lot of parameters to consider (type of the optimizer, latent space/trash space, component selections, etc.).

Yet, I found it is well in the scope of this library.