389 citations · 3.9k across the 104 of their papers we have counts for
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quant-ph2021
Dispersive qubit readout with machine learning
Enrico Rinaldi, Roberto Di Candia, Simone Felicetti +1
Open quantum systems can undergo dissipative phase transitions, and their critical behavior can be exploited in sensing applications. For example, it can be used to enhance the fid…
quant-ph2021★ 55 cited
Matrix Model simulations using Quantum Computing, Deep Learning, and Lattice Monte Carlo
Enrico Rinaldi, Xizhi Han, Mohammad Hassan +4
Matrix quantum mechanics plays various important roles in theoretical physics, such as a holographic description of quantum black holes. Understanding quantum black holes and the r…