2 papers
quant-ph2025
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Nikolaos Schetakis, Paolo Bonfini, Negin Alisoltani +6
Accurate traffic forecasting plays a crucial role in modern Intelligent Transportation Systems (ITS), as it enables real-time traffic flow management, reduces congestion, and impro…
physics.optics2024
Encoding arbitrary Ising Hamiltonians on Spatial Photonic Ising Machines
Jason Sakellariou, Alexis Askitopoulos, Georgios Pastras +1
Photonic Ising Machines constitute an emergent new paradigm of computation, geared towards tackling combinatorial optimization problems that can be reduced to the problem of findin…