3 papers
quant-ph2025
Mitigating the sign problem by quantum computing
Kwai-Kong Ng, Min-Fong Yang
The notorious sign problem severely limits the applicability of quantum Monte Carlo (QMC) simulations, as statistical errors grow exponentially with system size and inverse tempera…
cond-mat.stat-mech2025
Work statistics and thermal phase transitions
Kwai-Kong Ng, Min-Fong Yang
The investigation of nonequilibrium thermodynamics in quantum many-body systems underscores the importance of quantum work, which differs from its classical counterpart due to its…
cond-mat.dis-nn2023
Unsupervised learning of phase transitions via modified anomaly detection with autoencoders
Kwai-Kong Ng, Min-Fong Yang
In this paper, a modified method of anomaly detection using convolutional autoencoders is employed to predict phase transitions in several statistical mechanical models on a square…