Putting machine learning to the test in a quantum many-body system
cond-mat.dis-nn, cond-mat.quant-gas
Submitted: 2026-02-02
Updated: 2026-02-02
Code: https://github.com/DisQS/HubbardNet
Terminology
Sources
- Neural-Network Quantum States: A Systematic Review
- Support set of random wave-functions on the Bethe lattice
- Better, Faster Fermionic Neural Networks
- SGDR: Stochastic Gradient Descent with Warm Restarts
- Adam: A Method for Stochastic Optimization
- Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data
- Ergodic and non-ergodic properties of disordered SU(3) chains
Related papers
- Few-Shot Neuromorphic Vision in a Nonlinear Photonic Network Laser
- Hyperbolic lattices with mass disorder: Phases and phase transitions
- Adaptive Neural Quantum States: A Recurrent Neural Network Perspective
- Machine learning Majorana topology using unsupervised and supervised learning
- Quenched fluctuation-induced force arising from polarization disorder