Min Li
Machine Learning Engineer at EvenUp
Champaign, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolMin Li is a Machine Learning Engineer with a PhD background in physics from UIUC and three years of applied research experience at the intersection of quantum computing and ML. They developed the Resource-Optimized Grouping Shadow (ROGS) algorithm in collaboration with AWS, improving quantum molecular energy estimation accuracy while cutting circuit overheads—a contribution validated by extensive numerical simulations and an arXiv paper. Min also contributed classical-shadow functionality to the open-source Mitiq quantum software stack during a Unitary Fund internship, demonstrating a practical focus on tooling as well as theory. Now at EvenUp, they bridge rigorous physics training and production ML engineering to tackle measurement-efficient quantum algorithms and software. An often-overlooked strength is their knack for translating convex and graph optimization ideas from academic research into implementable, cost-aware solutions for real quantum workloads.
3 years of coding experience
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Illinois Urbana-ChampaignMaster of Science - MS Physics, Master of Science - MS Physics at University of Chicago
Github Skills (10)
scale10
intermediate10
qiskit9
quantum-programming-language9
cirq9
quantum-algorithms9
quantum-computing9
open-science3
llm3
rlhf3
Programming languages (1)
Github contributions (5)
Min-Li/mitiq
Jul 2023 - Dec 2023
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
Contributions:1 PR, 266 pushes, 14 branches in 5 months
Min-Li/qtrainer
Jan 2023 - Mar 2023
Contributions:6 commits, 5 pushes, 1 branch in 2 months
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