5 papers
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…
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…
GPU-accelerated Auxiliary-field quantum Monte Carlo with multi-Slater determinant trial states
Yifei Huang, Zhen Guo, Hung Q. Pham +1
The accuracy of phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC) can be systematically improved with better trial states. Using multi-Slater determinant trial states, ph-AF…