most citedDual-Capability Machine Learning Models for Quantum Hamiltonian Parameter Estimation and Dynamics Prediction

5 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2025

Realization of Thread Level Parallelism on Quantum Devices

Keren Li, Zidong Lin, Zheng An +4

Scaling up quantum devices is a central challenge for realizing practical quantum computation. Modular quantum architectures promise scalability, yet experiments to date have relie…

quant-ph2024★ 1 cited

Investigating Pure State Uniqueness in Tomography via Optimization

Jiahui Wu, Zheng An, Chao Zhang +3

Quantum state tomography (QST) is crucial for understanding and characterizing quantum systems through measurement data. Traditional QST methods face scalability challenges, requir…

quant-ph2024★ 1 cited

Application of Large Language Models to Quantum State Simulation

Shuangxiang Zhou, Ronghang Chen, Zheng An +1

Quantum computers leverage the unique advantages of quantum mechanics to achieve acceleration over classical computers for certain problems. Currently, various quantum simulators p…

quant-ph2024★ 4 cited

Unified Framework for Calculating Convex Roof Resource Measures

Xuanran Zhu, Chao Zhang, Zheng An +1

Quantum resource theories (QRTs) provide a comprehensive and practical framework for the analysis of diverse quantum phenomena. A fundamental task within QRTs is the quantification…

quant-ph2024★ 5 cited

Dual-Capability Machine Learning Models for Quantum Hamiltonian Parameter Estimation and Dynamics Prediction

Zheng An, Jiahui Wu, Zidong Lin +3

Recent advancements in quantum hardware and classical computing simulations have significantly enhanced the accessibility of quantum system data, leading to an increased demand for…