28 citations · 40 across the 7 of their papers we have counts for
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astro-ph.HE2025★ 2 cited
Benchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection
Farida Farsian, Nicolò Parmiggiani, Alessandro Rizzo +12
This study evaluates the use of Quantum Convolutional Neural Networks (QCNNs) for identifying signals resembling Gamma-Ray Bursts (GRBs) within simulated astrophysical datasets in…
astro-ph.HE2024
Quantum Convolutional Neural Networks for the detection of Gamma-Ray Bursts in the AGILE space mission data
A. Rizzo, N. Parmiggiani, A. Bulgarelli +17
Quantum computing represents a cutting-edge frontier in artificial intelligence. It makes use of hybrid quantum-classical computation which tries to leverage quantum mechanic princ…