Quantum trainable embedding for variational quantum classifier

An attempt to put discrete stuff into quantum world

Napat Thumwanit (The University of Tokyo, Computer Science) , Chayaphol Lortararprasert (The University of Tokyo, Mechanical Engineer) , Hiroshi Yano (Keio University, Applied Physics and Physico-Informatics) , Rudy Raymond (IBM Japan, IBM Quantum)
09-06-2021

Our work was accepted as poster in IEEE QCE2021. Our paper can be found here. You can run the experiment using our code.

Overall (Discrete features in classical and quanttum)

Previous approach (QRAC for discrete embedding)

Our approach

Result

References