2 citations · 6 across the 6 of their papers we have counts for
6 papers
High-Order Modulation Large MIMO Detector Based on Physics-Inspired Methods
Qing-Guo Zeng, Xiao-Peng Cui, Xian-Zhe Tao +4
Applying quantum annealing or current quantum-/physics-inspired algorithms for MIMO detection always abandon the direct gray-coded bit-to-symbol mapping in order to obtain Ising fo…
Quantum-inspired Beamforming Optimization for Quantized Phase-only Massive MIMO Arrays
Yutong Jiang, Hangyu Ge, Bi-Ying Wang +7
This paper introduces an innovative quantum-inspired method for beamforming (BF) optimization in multiple-input multiple-output (MIMO) arrays. The method leverages the simulated bi…
Speedup of high-order unconstrained binary optimization using quantum Z2 lattice gauge theory
Bi-Ying Wang, Xiaopeng Cui, Qingguo Zeng +3
An important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficient than quadratic…
Efficient molecular conformation generation with quantum-inspired algorithm
Yunting Li, Xiaopeng Cui, Zhaoping Xiong +7
Conformation generation, also known as molecular unfolding (MU), is a crucial step in structure-based drug design, remaining a challenging combinatorial optimization problem. Quant…
Quantum molecular docking with quantum-inspired algorithm
Yunting Li, Xiaopeng Cui, Zhaoping Xiong +5
Molecular docking (MD) is a crucial task in drug design, which predicts the position, orientation, and conformation of the ligand when bound to a target protein. It can be interpre…
Quantum-Inspired Machine Learning for Molecular Docking
Runqiu Shu, Bowen Liu, Zhaoping Xiong +5
Molecular docking is an important tool for structure-based drug design, accelerating the efficiency of drug development. Complex and dynamic binding processes between proteins and…