◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Cheng-Chang Lu

4 papers hereh-index 428 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.ET3
  • quant-ph1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.ET2026

A Quantum Framework for Protein Binding-Site Structure Prediction on Utility-Level Quantum Processors

Yuqi Zhang, Yuxin Yang, William Martin +8

Accurate prediction of protein active-site structures remains a central challenge in structural biology, particularly for short and flexible peptide fragments where conventional an…

cs.ET2025

A Hybrid Quantum-AI Framework for Protein Structure Prediction on NISQ Devices

Yuqi Zhang, Yuxin Yang, Feixiong Chen +7

Variational quantum algorithms provide a direct, physics-based approach to protein structure prediction, but their accuracy is limited by the coarse resolution of the energy landsc…

cs.ET2025

QDockBank: A Dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers

Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu +4

Protein structure prediction is a core challenge in computational biology, particularly for fragments within ligand-binding regions, where accurate modeling is still difficult. Qua…

quant-ph2025

Escaping Barren Plateau: Co-Exploration of Quantum Circuit Parameters and Architectures

Yipei Liu, Yuhong Song, Jinyang Li +4

Barren plateaus (BP), characterized by exponentially vanishing gradients that hinder the training of variational quantum circuits (VQC), present a pervasive and critical challenge…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.