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cs.AR2025
Hardware-Aware Model Design and Training of Silicon-based Analog Neural Networks
Giulio Filippeschi, Mirko Brazzini, Cristhopher Mosquera +4
Silicon-based analog neural networks physically embody the ideal neural network model in an approximate way. We show that by retraining the neural network using a physics-informed…
cond-mat.mes-hall2025
High-performance and reliable probabilistic Ising machine based on simulated quantum annealing
Eleonora Raimondo, Esteban Garzón, Yixin Shao +10
Probabilistic computing with pbits is emerging as a computational paradigm for machine learning and for facing combinatorial optimization problems (COPs) with the so-called probabi…