Hai Wei
8 Papers
Hai Wei is an academic researcher. The author has contributed to research in topics: Quantum algorithm & Chemistry. The author has co-authored 1 publications.
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Papers
Encoding Molecular Docking for Quantum Computers.
Jinyin Zha,Jiaqi Su,Tiange Li,Chongyu Cao,Yin Ma,Hai Wei,Zhiguo Huang,Ling Qian,Kai Wen,Jian Zhang +9 more
TL;DR: Grid Point Matching and Feature Atom Matching are introduced to accelerate pose sampling in molecular docking by encoding the problem into quadratic unconstrained binary optimization models so that it could be solved by quantum computers like the coherent Ising machine (CIM).
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BQ-Chem: A Quantum Software Program for Chemistry Simulation Based on the Full Quantum Eigensolver Algorithm
TL;DR: In this article , a quantum chemistry simulation software program BQ-Chem is described, which can calculate the low energy spectrum and potential energy surface of molecules on a quantum computer using full quantum eigensolver (FQE).
A versatile coherent Ising computing platform
Hai Wei,Chengjun Ai,Bingjie Jia,Hanquan Song,Jie Wu,Chao Ju,Kai Wen +6 more
TL;DR: Researchers developed a coherent Ising machine (CIM) via femtosecond laser pumping, achieving a 55% success rate in solving NP-complete problems, with significant performance enhancements and practical applicability in real-world scenarios, including molecular docking and credit scoring.
Optical experimental solution for the multiway number partitioning problem and its application to computing power scheduling
Jingwei Wen,Zhenming Wang,Zhiguo Huang,Dunbo Cai,Bingjie Jia,Chongyu Cao,Yin Ma,Hai Wei,Kai Wen,Ling Qian +9 more
TL;DR: This work proposes efficient quantum algorithms suitable for solving computing power scheduling problems in the cloud-rendering domain, which can be viewed mathematically as a generalized form of a typical NP-complete problem, i.e., a multiway number partitioning problem.
Quantum Computing for MIMO Beam Selection Problem: Model and Optical Experimental Solution
Yuhong Huang,Wenxin Li,Chengkang Pan,Shuai Hou,Xian Lu,Chunfeng Cui,Jingwei Wen,Jiaqi Xu,Chongyu Cao,Yin Ma,Hai Wei,Kai Wen +11 more
TL;DR: This work investigates the MIMO beam selection (MBS) problem, which is proven to be NP-hard and computationally intractable, and shows that CIM-based solution performs significantly better in terms of selecting the optimal subset of beams.