3 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
Transpiling quantum circuits by a transformers-based algorithm
Michele Banfi, Paolo Zentilini, Sebastiano Corli +1
Transformers have gained popularity in machine learning due to their application in the field of natural language processing. They manipulate and process text efficiently, capturin…
Generation and detection of squeezed states via a synchronously pumped optical parametric oscillator
Edoardo Suerra, Samuele Altilia, Stefano Olivares +7
A synchronously pumped optical parametric oscillator (SPOPO) operating at 93 MHz is used to generate squeezed states at 1035 nm. The system features a counter-propagating beam at t…
A minimalist self-differencing gating scheme for dead-time-free single-photon avalanche diodes at high repetition rate
Samuele Altilia, Edoardo Suerra, Stefano Capra +6
Gated quenched SPAD detectors are widely used in quantum communication and quantum computing setups employing high-repetition-rate lasers. Here, we present a novel scheme for high-…
Quantum physics informed neural networks for multi-variable partial differential equations
Giorgio Panichi, Sebastiano Corli, Enrico Prati
Quantum Physics-Informed Neural Networks (QPINNs) integrate quantum computing and machine learning to impose physical biases on the output of a quantum neural network, aiming to ei…