SC '26
Quantum Sampling Architecture for Protein Structure Reconstruction on Utility-Scale Hardware
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2026
Yuqi Zhang 张钰奇
Quantum algorithms and systems for biology, run on real quantum hardware.
PhD Student in Quantum Biological Computing, since Fall 2024
Kent State University & Cleveland Clinic
About
I am a third-year PhD student advised by Dr. Qiang Guan at Kent State University and Dr. Feixiong Cheng at Cleveland Clinic.
I design quantum algorithms and systems for structural biology and drug discovery, and run them on IBM utility-scale quantum processors, including the one at Cleveland Clinic.
News
- Sep 2026Our team joined the NSF I-Corps for Quantum+X 2026 cohort. I am the Entrepreneurial Lead.
- 2026Our quantum sampling architecture paper, QSAD, was accepted at SC '26.
- 2026Our hybrid quantum-AI structure prediction paper was accepted by ACM Transactions on Quantum Computing.
Earlier news
- Mar 2026Posted Qronecker, a certifiable compression method for chemistry Hamiltonians, on arXiv.
- Jul 2025Gave a talk at the Quantum Computing User Forum, Oak Ridge National Laboratory.
- 2025Our binding-site structure prediction paper was published in Advanced Science.
- 2025QDockBank appeared at SC '25.
Research
My research aims to understand and design quantum computing methods that turn the physical properties of quantum systems into programmable, scalable, and verifiable information processing, building a new physical intelligence layer for biological information systems and drug discovery.
Quantum hardware
Physical properties of quantum systems
- Application
- System
- Algorithm
Physical intelligence layer
Programmable, scalable, verifiable
Biology & drug discovery
Biological information systems
Publications
First-author papers. * denotes corresponding author. See Google Scholar for the full list.
ACM TQC
A Hybrid Quantum-AI Framework for Protein Structure Prediction on NISQ Devices
ACM Transactions on Quantum Computing, 2026
Adv. Sci.
A Quantum Framework for Protein Binding-Site Structure Prediction on Utility-Level Quantum Processors
Advanced Science, 2025
SC '25
QDockBank: A Dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2025
arXiv
Qronecker: A Certifiable Kronecker Compression Primitive for Quantum-Chemistry Hamiltonians
arXiv preprint, 2026
Funding and Talks
-
2026
NSF I-Corps for Quantum+X
I-Corps: Translation Potential of a Hybrid Quantum-Classical Drug Discovery Platform
- Role
- Entrepreneurial Lead
- PI
- Dr. Qiang Guan
- Award
- NSF 2630667, US$50,000
- Period
- Sep 2026 to Aug 2027
-
Jul 2025
Quantum Computing User Forum (QCUF) 2025
Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Talk
- Protein Structure Prediction in Drug Discovery on Utility-Level Quantum Processors
- Date
- July 23, 2025
Acknowledgements
I thank my advisor Dr. Qiang Guan, my co-advisor Dr. Feixiong Cheng, and my mentors Dr. Juan Yao, Dr. Zhaofeng Su, Dr. Sanjiang Li and Dr. Yuan Feng. Thanks also to the 419 Lab team, and to my friend Haojie Zhang, who first got me interested in quantum computing.