2 papers
cond-mat.dis-nn2025
Adaptive Neural Quantum States: A Recurrent Neural Network Perspective
Jake McNaughton, Mohamed Hibat-Allah
Neural-network quantum states (NQS) are powerful neural-network ansätzes that have emerged as promising tools for studying quantum many-body physics through the lens of the variati…
physics.app-ph2025
Full-Precision and Ternarised Neural Networks with Tunnel-Diode Activation Functions: Computing and Physics Perspectives
Jake McNaughton, A. H. Abbas, Ivan S. Maksymov
The mathematical complexity and high dimensionality of neural networks slow both training and deployment, demanding heavy computational resources. This has driven the search for al…