Collin Yuanjie Ren

PhD Candidate in Physics @ MIT

I'm currently a PhD candidate in the Physics Department at MIT, under the supervision of Peter Shor and Aram Harrow.

My research focuses on quantum codes, topological order, and quantum simulation of physical systems. I'm also learning about open quantum systems, quantum complexity theory, as well as quantum algorithms.

In my free time, I think about and experiment with how machine learning can help derive and prove mathematical theorems (auto-formalization) and how large language models can facilitate the design of better video games.

Photo of Collin Yuanjie Ren
MIT Physics Department
Cambridge, MA

Research

My research spans three complementary areas at the intersection of quantum information and theoretical physics:

01

Topological Quantum Codes

Developing quantum error-correcting codes and understanding their connections to topological phases of matter, including universal circuit constructions and phase transitions.

Topological Order Circuit Design Phase Transitions
02

Agent for Math & Physics

Building AI agents that automatically extract mathematical statements from LaTeX, convert them into formally verified Lean 4 code, and translate results back for human review.

Auto-formalization Lean 4 / Mathlib LLM Agents
03

Quantum Simulation

Simulating physical systems on quantum computers, including fermionic tensor networks and adaptive quantum circuits.

Tensor Networks Adaptive Circuits

Job Market

I will be on the job market in the 2025-2026 academic year, looking for a research position in a company or a postdoc position in a university. Please don't hesitate to reach out for academic collaboration or entrepreneurship whenever you share similar interests!

Publications

Yuanjie Ren*, Jinzheng Li*, Yidi Qi* (equal contribution)
2026
Auto-formalization AI Agent Machine Learning Quantum Computation
Yuanjie Ren, Kaifeng Bu, Andreas Bauer
Quantum Simulation Tensor Network Fermionic Systems
Liyuan Chen, Yuanjie Ren, Ruihua Fan, Arthur Jaffe
npj Quantum Inf. 11, 112 (2025)
Quantum Error Correction Quantum Computation Topological Order Circuit Design
Yuanjie Ren, Nathanan Tantivasadakarn, Dominic J. Williamson
Phys. Rev. X 15, 031060 (2025)
Topological Order Adaptive Circuits Quantum Computation Quantum Simulation
Yuanjie Ren, Peter Shor
Topological Order Quantum Computation Phase Transitions Modular Tensor Categories
Yuanjie Ren, Axel Drees
Phys. Rev. C 104 054902 (2021)
Machine Learning Quark-Gluon Plasma Nuclear Physics

Education

Doctor of Philosophy (Quantum Computation) GPA: 5.0/5.0
Massachusetts Institute of Technology (2020 – 2026 expected)
Main Courses: Quantum Information Science II & III, Quantum Field Theory II & III, General Relativity, Algebraic Topology, Manifold Analysis, Holography, String Theory
Master of Arts (Nuclear Physics) GPA: 3.95/4.00
Stony Brook University (2018 – 2020)
Main Courses: String Theory I & II, Mathematical Physics, Nuclear Physics, Quantum Field Theory I, Group Theory

AI Agent for Math & Physics

I'm building MerLean, an agentic framework for autoformalization in quantum computation, together with Jinzheng Li from NEU and Yidi Qi from NEU.

MerLean automatically extracts mathematical statements from LaTeX documents, converts them into formally verified Lean 4 code using Mathlib, and translates results back to human-readable LaTeX for review — all without human intervention. We demonstrated the framework on a quantum computation paper, generating 1,450 Lean declarations from 48 mathematical statements covering stabilizer formalism, Pauli algebra, transversal gates, gauging graphs, and fault-tolerant measurement.