Jeffrey Ming Han Li

About Me

I am a third-year undergraduate student at the University of Toronto, pursuing a Bachelor of Applied Science in Engineering Physics.

I am fortunate to be a research intern at CQIQC, UofT working with Prof. Boris Braverman. My research interests lie at the intersection of quantum optics, photonics, and quantum computation hardware.

BASc Engineering Physics - University of Toronto Toronto, ON

Publications

01

Kingston, ON
2024

Denoising CGI Renderings using Deep Learning

H. Chen, J. Li. CUCAI 2024, Kingston, ON, 2024.

Conference Paper

02

Toronto, ON
2024

Low-Noise, Vibration Minimized Optical Shutter Using DC Brushed Motor

J. Li, B. Braverman. UNERD 2024, Toronto, ON, 2024.

Conference Poster

03

Toronto, ON
2025

Photon Pair Generation at 780 and 1560 nm in Periodically Poled Silica Fiber

J. Li, A. C.B. Greenwood, Li Qian, et al. CQIQC Research Day, Toronto, ON, 2025.

Conference Poster

Research Experience

May 2025 - Present | Qian Lab, University of Toronto

Quantum Information Research Intern

Generated hyperentangled photon pairs via type-0 SPDC in pure-silica periodically poled silica fiber.
Designed and built an optical coincidence counting device with single-photon counting modules.
Programmed a quantum state tomography pipeline in MATLAB and Python with maximum-likelihood reconstruction.
Designed a low-jitter TTL gating circuit to suppress dark counts and improve coincidence-to-accidental ratio.

May 2024 - May 2025 | Braverman Lab, University of Toronto

Quantum Optics Research Intern

Simulated Hermite-Gaussian mode propagation through a spatial filtering system.
Optimized filters to achieve greater than 95% HG0 mode fidelity using dual annealing.
Built a Mach-Zehnder interferometer for filtered spatial-mode holography.
Modeled resonant modes in disordered optical cavities with COMSOL.
Trained a feedforward neural network to predict output wavelength with 1.2 nm mean squared error.

Sep 2024 - Present | UTMIST, University of Toronto

QuDiffuse Project Lead

Led QuDiffuse: applying D-Wave quantum annealing to accelerate DDPM training through RBM-based Markov chains.
Achieved 10x training speedup on MNIST compared to a classical DDPM baseline with classical QUBO solver.
Awarded Most Innovative Project at the UTMIST 2025 Showcase.

May 2024 - Present | IYPT Canada

Research Supervisor, Canadian Physics Camp

Mentored Canada's national physics team, resulting in two bronze medals at IYPT 2024 and 2025.
Organized the national camp and delivered undergraduate-level experimental and theoretical lectures.

Teaching

I actively mentor student researchers and contribute to technical training programs through camp supervision and structured lectures. I document my school notes in the Notes section, and I document interesting findings in the Blog Section.