Louis Rossignol
Ph.D. Candidate in Theoretical Physics & Researcher in Theoretical Machine Learning
Welcome! I am a physics researcher pursuing my Ph.D. at McGill University in the group of Prof. Hong Guo, while concurrently conducting research at the McGill Department of Mathematics and Statistics supervised by Prof. Elliot Paquette and Prof. Courtney Paquette. My work bridges quantum transport theory, high-dimensional probability, and scaling laws for large language models.
Core Research Focus
Quantum Transport & Materials
Investigating Keldysh non-equilibrium Green function (NEGF) formalism, CZT semiconductor properties for X-ray detectors with 5N Plus & Analogic, THz-pump probe non-linear response, and high-performance computing (HPC) tools for Fermi-Dirac functions.
Learn moreTheoretical Machine Learning
Developing Power Law Random Feature models using random matrix theory on Volterra equations and high-dimensional probability to derive fundamental scaling laws for large language models (LLMs) and analyze learning dynamics.
Learn moreQuantum Optics & Symbolic Computing
Machine learning for quantum fluids of light, single-shot multiparameter estimation for non-linear Schrödinger equation, topological SSH model qubit decoherence protection, and the in-house SymGF package with LLMs.
Recent Highlights & News
Machine learning approach to single-shot multiparameter estimation for the nonlinear Schrödinger equation
Published in Eur. Phys. J. D 80, 83 (2026). Co-authored with Tangui Aladjidi, Myrann Baker-Rasooli, and Prof. Quentin Glorieux.
Read Article (DOI: 10.1140/epjd/s10053-026-01183-2)Host of MGAPS Physics Podcast
Hosting the McGill Graduate Association of Physics Students podcast to showcase recent papers and research stories from physics graduate students.
View Outreach & Leadership →CdZnTe Semiconductor Physics
K. Luo, L. Rossignol, P. Jakuc, O. Moutanabbir, and Hong Guo (2025) « Alloy Disorder and Partial Order Effects on the Bowing Parameter and Resistivity of CdZnTe Semiconductors ».
View Publications List →