28 citations · 52 across the 7 of their papers we have counts for
7 papers
Coupled Lindblad pseudomode theory for simulating open quantum systems
Zhen Huang, Gunhee Park, Garnet Kin-Lic Chan +1
Coupled Lindblad pseudomode theory is a promising approach for simulating non-Markovian quantum dynamics on both classical and quantum platforms, with dynamics that can be realized…
Transformer-based operator learning framework for self-energy in strongly correlated systems
Yuanran Zhu, Peter Rosenberg, Zhen Huang +3
We introduce -Attention, a Transformer-based operator-learning framework to address a key computational challenge in correlated materials. Our approach utilizes an Encoder-Only…
Discontinuous phase transition of feature detection in lateral predictive coding
Zhen-Ye Huang, Weikang Wang, Hai-Jun Zhou
The brain may adopt the strategy of lateral predictive coding (LPC) to construct optimal internal representations for salient features in input sensory signals, reducing the energe…
Unified error bounds for perturbations of non-Markovian open quantum systems in Gaussian environments
Zhen Huang, Yuanran Zhu, Gunhee Park +1
We present perturbative error bounds for the non-Markovian dynamics of observables in open quantum systems interacting with Gaussian environments, governed by a general Liouville d…
Quasi-Lindblad pseudomode theory for open quantum systems
Gunhee Park, Zhen Huang, Yuanran Zhu +3
We introduce a new framework to study the dynamics of open quantum systems with linearly coupled Gaussian baths. Our approach replaces the continuous bath with an auxiliary discret…
Mean field error estimate of the random batch method for large interacting particle system
Zhenyu Huang, Shi Jin, Lei Li
The random batch method (RBM) proposed in [Jin et al., J. Comput. Phys., 400(2020), 108877] for large interacting particle systems is an efficient with linear complexity in particl…
Statistical mechanics of continual learning: variational principle and mean-field potential
Chan Li, Zhenye Huang, Wenxuan Zou +1
An obstacle to artificial general intelligence is set by continual learning of multiple tasks of different nature. Recently, various heuristic tricks, both from machine learning an…