18 citations · 50 across the 9 of their papers we have counts for
6 papers · 1 filter
Digital adiabatic evolution is universally accurate
Yangyu Lu, Yifei Huang, Dong An +3
Adiabatic evolution is a central paradigm in quantum physics. Digital simulations of adiabatic processes are generally viewed as costly, since algorithmic errors typically accumula…
Quantum Many-Body Simulations of Catalytic Metal Surfaces
Changsu Cao, Hung Q. Pham, Zhen Guo +5
Quantum simulations of metal surfaces are critical for catalytic innovation. Yet existing methods face a cost-accuracy dilemma: density functional theory is efficient but system-de…
Solving the Hubbard model with Neural Quantum States
Yuntian Gu, Wenrui Li, Heng Lin +9
The rapid development of neural quantum states (NQS) has established it as a promising framework for studying quantum many-body systems. In this work, by leveraging the cutting-edg…
ByteQC: GPU-Accelerated Quantum Chemistry Package for Large-Scale Systems
Zhen Guo, Zigeng Huang, Qiaorui Chen +7
Applying quantum chemistry algorithms to large-scale systems requires substantial computational resources scaled with the system size and the desired accuracy. To address this, Byt…
Fault-tolerant quantum algorithms for quantum molecular systems: A survey
Yukun Zhang, Xiaoming Zhang, Jinzhao Sun +4
Solving quantum molecular systems presents a significant challenge for classical computation. The advent of early fault-tolerant quantum computing (EFTQC) devices offers a promisin…
Advancing Surface Chemistry with Large-Scale Ab-Initio Quantum Many-Body Simulations
Zigeng Huang, Zhen Guo, Changsu Cao +5
Predictive simulation of surface chemistry is of paramount importance for progress in fields from catalysis to electrochemistry and clean energy generation. Ab-initio quantum many-…