Charles Yuan
Assistant Professor at University of Wisconsin-Madison
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolCharles Yuan is an assistant professor and programming languages researcher who builds software stacks—languages, libraries, and compilers—to make quantum algorithms practical on real hardware. With an 11-year engineering and research pedigree spanning MIT, Google Quantum AI, Hudson River Trading, and Carnegie Mellon, he combines rigorous PhD-level theory with production experience in low-latency systems and tooling. His work focuses on rethinking core abstractions like data structures and control flow for quantum computing, and he contributed to Google’s Qualtran resource estimation framework. Based in Madison, Wisconsin, he brings both teaching experience in PL and parallel algorithms and hands-on engineering from industry internships and trading infrastructure. Colleagues know him for translating deep research insights into usable developer tools that bridge simulator, compiler, and hardware realities.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of TechnologyBachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Carnegie Mellon University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
quantum-algorithms10
machine-learning10
reinforcement-learning10
api10
sdk10
google10
ai10
quantum-computing10
q-learning10
artificial-intelligence9
algorithms9
python9
cirq9
quantum-programming-language9
rails5
Programming languages (6)
Github contributions (5)
charlesyuan314/Qualtran
May 2024 - Aug 2024
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Contributions:2 PRs, 390 pushes, 114 branches in 2 months
psg-mit/tower-oopsla22
Jul 2022 - Dec 2024
Contributions:9 pushes in 2 years 5 months
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