2 papers
cond-mat.str-el2025
Self-learning QMC: application to the classical Holstein-Spin-Fermion model
Shaozhi Li
To evaluate the effectiveness of machine learning in systems with competing interactions, we developed a self-learning quantum Monte Carlo (SLQMC) method to simulate the phase tran…
quant-ph2024
Quantum-Inspired Weight-Constrained Neural Network: Reducing Variable Numbers by 100x Compared to Standard Neural Networks
Shaozhi Li, M Sabbir Salek, Mashrur Chowdhury +1
Although quantum machine learning has shown great promise, the practical application of quantum computers remains constrained in the noisy intermediate-scale quantum era. To take a…