11 papers
RNADyn: A Benchmark for Generating and Understanding RNA Dynamics
Yiming Huang, Lennart Bastian, Hanqun Cao +2
Ribonucleic acid (RNA) functions through conformational changes that are not fully captured by static structures. However, large-scale standardized RNA dynamics data remain limited…
Low-cost algorithm-to-execution framework for surface-code quantum computing
Yunxin Tang, Zixuan Huo, Junxiang Huang +14
Fault-tolerant quantum computing is progressing from demonstrations of individual logical components toward the execution of useful quantum algorithms on large-scale error-correcte…
Enhanced Neural Quantum State via Annealed Gradient Descent
Shiwei Zhou, Yiming Huang, Xiao Yuan +1
Neural quantum states offer expressive representations of quantum many-body wave functions, yet their practical accuracy can be limited by stochastic optimization rather than repre…
Quantum-classical crossover in fault-tolerant quantum dynamics simulation
Jinzhao Sun, Bozhen Zhou, Jue Xu +28
While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperforms the best classical algorith…
A Three-Layer Architecture for Fault-Tolerant Quantum Computing
Zhirao Wang, Zhou You, Yiming Huang +4
Fault tolerance is an indispensable prerequisite for constructing large-scale universal quantum computers. Drawing philosophies from classical computer architecture, this paper pre…
A Variational Dissipative Framework for Quantum Algorithms
Yuan Yao, Ruipeng Xing, Yongjian Gu +2
Dissipation engineering has attracted growing interest as an approach to controlling open quantum systems through engineered system-environment interactions. Standard variational q…
Universal Analog Quantum Simulation
Yiming Huang, Jiaxing Song, Xiaoxia Cai +1
Analog quantum simulators emulate complex many-body dynamics through native continuous-time evolution under hardware-defined interactions. Yet once a platform is specified, its int…
A Review of Variational Quantum Algorithms: Insights into Fault-Tolerant Quantum Computing
Zhirao Wang, Junxiang Huang, Runyu Ye +8
Variational quantum algorithms (VQAs) have established themselves as a central computational paradigm in the Noisy Intermediate-Scale Quantum (NISQ) era. By coupling parameterized…
PALQO: Physics-informed Model for Accelerating Large-scale Quantum Optimization
Yiming Huang, Yajie Hao, Jing Zhou +3
Variational quantum algorithms (VQAs) are leading strategies to reach practical utilities of near-term quantum devices. However, the no-cloning theorem in quantum mechanics preclud…
Validation and extrapolation of atomic mass with physics-informed fully connected neural network
Yiming Huang, Jinhui Chen, Jiangyong Jia +3
Machine learning offers a powerful framework for validating and predicting atomic mass. We compare three improved neural network methods for representation and extrapolation for at…
Coreset selection can accelerate quantum machine learning models with provable generalization
Yiming Huang, Huiyuan Wang, Yuxuan Du +1
Quantum neural networks (QNNs) and quantum kernels stand as prominent figures in the realm of quantum machine learning, poised to leverage the nascent capabilities of near-term qua…