3 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
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…
Quantum-inspired activation functions and quantum Chebyshev-polynomial network
Shaozhi Li, M Sabbir Salek, Yao Wang +1
Driven by the significant advantages offered by quantum computing, research in quantum machine learning has increased in recent years. While quantum speed-up has been demonstrated…
Sampling Electronic Fock States using Determinant Quantum Monte Carlo
Shuhan Ding, Shaozhi Li, Yao Wang
Analog quantum simulation based on ultracold atoms in optical lattices has catalyzed significant breakthroughs in the study of quantum many-body systems. These simulations rely on…