Alexey Melnikov

Quantum machine learning can now ditch data-encoding gates: a new shot-based encoding strategy achieves state-of-the-art results on image classification tasks by cleverly distributing quantum resources.

Quantum circuits can drastically shrink the size of neural operators for complex physics simulations, achieving better accuracy with fewer parameters than purely classical models.