⚛️ Physics

📹 ICCV2025 · 1 paper notes

ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers

This paper proposes ResQ — the first framework to natively implement residual neural networks (ResNets) on analog Rydberg atom quantum computers by exploiting continuous-time Hamiltonian evolution, encoding input features and trainable parameters via piecewise parameterized laser pulses, achieving an average 50% improvement over classical models of equivalent scale on MNIST, FashionMNIST, and medical dataset classification tasks.