Tag
#physics
3 insights
- ai · arxiv/cs.LG · 4 min
Hyperbolic neural networks outperform Euclidean models in quantum simulations
Researchers demonstrate that Poincaré and Lorentz recurrent architectures consistently beat standard neural quantum states on many-body physics benchmarks.
Apr 28, 2026 Read → - ai · arxiv/cs.LG · 4 min
Quantum-LSTM hybrid cuts physics model training data by 100×
Federated learning with quantum-enhanced LSTM achieves classical accuracy on SUSY classification using 20K samples instead of 2M, with under 300 parameters.
Apr 20, 2026 Read → - engineering · arxiv/cs.LG · 4 min
Hybrid PINNs: Finite-Difference Regularization for Physics Solvers
Adding weak finite-difference gradient penalties to physics-informed neural networks improves boundary accuracy without replacing automatic-differentiation residuals.
Apr 17, 2026 Read →