3 papers
quant-ph2026
Training continuously-coupled reconfigurable photonic chips with quantum machine learning
Denis Stanev, Nicolò Spagnolo, Fabio Sciarrino
Integrated photonic technologies have recently shown significant advances, enabling the possibility to implement reconfigurable interferometers with increasing size. One of the mai…
quant-ph2025
Validation of a noisy Gaussian boson sampler via graph theory
Denis Stanev, Taira Giordani, Nicolò Spagnolo +1
Quantum photonic processors are emerging as promising platforms to prove preliminary evidence of quantum computational advantage towards the realization of universal quantum comput…
quant-ph2024
Long-lived Particles Anomaly Detection with Parametrized Quantum Circuits
Simone Bordoni, Denis Stanev, Tommaso Santantonio +1
We investigate the possibility to apply quantum machine learning techniques for data analysis, with particular regard to an interesting use-case in high-energy physics. We propose…