2 citations · 3 across the 6 of their papers we have counts for
6 papers
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…
Experimental Demonstration of Inequivalent Mutually Unbiased Bases
Wen-Zhe Yan, Yunting Li, Zhibo Hou +4
Quantum measurements based on mutually unbiased bases (MUB) play crucial roles in foundational studies and quantum information processing. It is known that there exist inequivalent…
Q-Drug: a Framework to bring Drug Design into Quantum Space using Deep Learning
Zhaoping Xiong, Xiaopeng Cui, Xinyuan Lin +5
Optimizing the properties of molecules (materials or drugs) for stronger toughness, lower toxicity, or better bioavailability has been a long-standing challenge. In this context, w…
Minimum number of experimental settings required to verify bipartite pure states and unitaries
Yunting Li, Haoyu Zhang, Zihao Li +1
Efficient verification of quantum states and gates is crucial to the development of quantum technologies. Although the sample complexities of quantum state verification and quantum…