Hardware-Executed Quantum Biocomputing
Run biological structure workflows on real quantum processors, with molecular representations and physical constraints kept in the loop.
I build quantum computing workflows for biological structure and drug discovery problems.
I am a PhD student in Quantum Biological Computing, working at the intersection of quantum computing and the life sciences. My research bridges quantum algorithms and real-world drug discovery.
I am jointly affiliated with Kent State University (advised by Dr. Qiang Guan) and the Cleveland Clinic (co-advised by Dr. Feixiong Cheng). Previously, I was selected for the 2023 Quantum Talents Climbing Program at SZIQA, mentored by Dr. Juan Yao.
My work follows a practical path: encode biological problems, execute them on quantum hardware, integrate the results with HPC systems, and evaluate them in drug discovery settings.
Run biological structure workflows on real quantum processors, with molecular representations and physical constraints kept in the loop.
Represent sequence, structure, conformational states, and interaction patterns in quantum-aware computational models.
Connect quantum execution, HPC, optimization, post-processing, and data pipelines into scalable scientific systems.
Apply quantum methods to molecular modeling, protein conformations, binding pockets, docking, and ligand response.
Auto-synced from Google Scholar — selected first-author work shown below.
I am deeply grateful to my advisor Dr. Qiang Guan, my co-advisor Dr. Feixiong Cheng, and mentors Dr. Juan Yao (SZIQA), Dr. Zhaofeng Su (USTC), Dr. Sanjiang Li (UTS), and Dr. Yuan Feng (THU).
Special thanks to the 419 Lab team (Hang Yu, Yiyan Cheng, Rongqi Lu, Zhuoqing Xiao, Yongzhi Li, Yao Xiao) and my friend Haojie Zhang for guiding me into the quantum world.