activity
20232026
most citedQuantum-machine-assisted Drug Discovery

10 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

hep-ph2026

Constraining DVCS Compton Form Factors Using Lattice QCD informed Neural Network

Yuan-Yuan Huang, Xu Cao

The lattice QCD calculation of generalized form factors are exploited to determine the subtraction constants through all order dispersion relations of Deeply Virtual Compton Scatte…

hep-ph2025

Assessing the impact of the electron ion collider in China on Deeply Virtual Compton Scattering

Yuan-Yuan Huang, Xu Cao, Taifu Feng +2

We assess the impact of future measurements of deeply virtual Compton scattering (DVCS) off protons using the planned detector at the Electron-Ion Collider in China (EicC), propose…

hep-ph2025

Three-dimensional imaging of hadrons with hard exclusive reactions: advances in experiment, theory, phenomenology, and lattice QCD

M. Boër, A. Camsonne, M. Constantinou +37

Generalized Parton Distributions (GPDs) have emerged as a powerful framework for exploring the internal structure of hadrons in terms of their partonic constituents. Over the past…

quant-ph2024★ 10 cited

Quantum-machine-assisted Drug Discovery

Yidong Zhou, Jintai Chen, Jinglei Cheng +8

Drug discovery is lengthy and expensive, with traditional computer-aided design facing limits. This paper examines integrating quantum computing across the drug development cycle t…

hep-ph2023★ 4 cited

Accessing Compton Form Factors at the Electron Ion Collider in China: An Impact study on

Xu Cao, Jinlong Zhang

We estimate the impact of asymmetry measurements of Deeply Virtual Compton Scattering (DVCS) with transversely polarized proton beam taken at a future Electron Ion Collider in Chin…