Enhancing variational quantum state diagonalization using reinforcement learning techniques

1 code implementation • 19 Jun 2023 • Akash Kundu, Przemysław Bedełek, Mateusz Ostaszewski, Onur Danaci, Yash J. Patel, Vedran Dunjko, Jarosław A. Miszczak

We demonstrate that the circuits proposed by the reinforcement learning methods are shallower than the standard variational quantum state diagonalization algorithm and thus can be used in situations where hardware capabilities limit the depth of quantum circuits.

Quantum Machine Learning reinforcement-learning +1

Computer Vision based inspection on post-earthquake with UAV synthetic dataset

1 code implementation • 11 Oct 2022 • Mateusz Żarski, Bartosz Wójcik, Jarosław A. Miszczak, Bartłomiej Blachowski, Mariusz Ostrowski

The area affected by the earthquake is vast and often difficult to entirely cover, and the earthquake itself is a sudden event that causes multiple defects simultaneously, that cannot be effectively traced using traditional, manual methods.