Myeongjin Shin
Hello! I’m Myeongjin Shin, also known as Bruce.
I’m an undergraduate in School of Computing from KAIST. I am currently fulfilling my mandatory national service at Republic of Korea Air Force. My main interest lies on researching quantum computing and founding a startup. I have been continuously conducting research with the Quantum Information Theory Group at the Research Institute of Mathematics, Seoul National University. For more details, you can find my CV here.
Contact: I love discussing new research or startup ideas and beyond, so feel free to reach out to me at hanwoolmj2(at)gmail.com for collaborations, questions, or just to connect. I’m always happy to hear from you!
You can also find me on LinkedIn and Google Scholar.
Research
My main research field focuses on theory of quantum computation. But I’m also interested in quantum simulation and hardware.
Recently, my primary research focus has been on the following topics:
- Quantum Learning Theory: Sample, computational, and time complexity of learning quantum states, unitaries, channels, and processes under various constraints
- Quantum Singular Value Transformation: Finding applications on various topics such as constructing efficient algorithms, estimating properties of quantum systems including quantum entropies and distance measures.
- Quantum Benchmarking: Especially on quantum cross platform benchmarking and measuring the accuracy of magic state injection, cultivation.
Other topics that I’ve worked on:
- Quantum neural property testing
- Quantum machine learning and its applications
- Gradient clipping methods for large language models
selected publications
- Estimating quantum mutual information through a quantum neural networkQuantum Information Processing, 2024
- Resource-efficient algorithm for estimating the trace of quantum state powersQuantum, 2025
- Near optimal quantum algorithm for estimating Shannon entropyarXiv preprint arXiv:2509.07452, 2025