10 citations · 16 across the 5 of their papers we have counts for
5 papers
MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework
Xusheng Xu, Jiangyu Cui, Zidong Cui +36
We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) alg…
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…
Variational Quantum Circuits Enhanced Generative Adversarial Network
Runqiu Shu, Xusheng Xu, Man-Hong Yung +1
Generative adversarial network (GAN) is one of the widely-adopted machine-learning frameworks for a wide range of applications such as generating high-quality images, video, and au…