699 citations · 9k across the 176 of their papers we have counts for
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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…
Convolutional neural network based decoders for surface codes
Simone Bordoni, Stefano Giagu
The decoding of error syndromes of surface codes with classical algorithms may slow down quantum computation. To overcome this problem it is possible to implement decoding algorith…
Quantum Diffusion Models
Andrea Cacioppo, Lorenzo Colantonio, Simone Bordoni +1
We propose a quantum version of a generative diffusion model. In this algorithm, artificial neural networks are replaced with parameterized quantum circuits, in order to directly g…
Retrieving genuine nonlinear Raman responses in ultrafast spectroscopy via deep learning
Giuseppe Fumero, Giovanni Batignani, Edoardo Cassetta +3
Noise manifests ubiquitously in nonlinear spectroscopy, where multiple sources contribute to experimental signals generating interrelated unwanted components, from random point-wis…
Fast Neural Network Inference on FPGAs for Triggering on Long-Lived Particles at Colliders
Andrea Coccaro, Francesco Armando Di Bello, Stefano Giagu +2
Experimental particle physics demands a sophisticated trigger and acquisition system capable to efficiently retain the collisions of interest for further investigation. Heterogeneo…