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Cunlu Zhou

Professeur, Faculté des sciences
FSCI Département d'informatique

Présentation

quantum computing, optimization, machine learning, complexity theory, quantum many-body physics

(2012-2019). PhD. Mathematics. University of Notre Dame. Notre Dame, IN, États-Unis.

IBM Quantum Research Chair. (2026-). Université de Sherbrooke. Sherbrooke, Quebec, Canada.
Associate Academic Member. (2025-). Mila - Quebec Artificial Intelligence Institute. Montreal, Quebec, Canada.
Member. (2024-). Institut quantique. Sherbrooke, Quebec, Canada.
Assistant Professor. (2024-). Université de Sherbrooke. Sherbrooke, Quebec, Canada.
NSF FRHTP Postdoctoral Fellow. (2021-2024). The University of New Mexico. Albuquerque, NM, États-Unis.
Postdoctoral Fellow. (2019-2021). University of Toronto. Toronto, Ontario, Canada.

Changhao Yi, Cunlu Zhou, Jun Takahashi. (2024). Quantum Phase Estimation by Compressed Sensing. Quantum. DOI
Roeland Wiersema, Cunlu Zhou, Juan Felipe Carrasquilla, Yong Baek Kim. (2023). Measurement-induced entanglement phase transitions in variational quantum circuits. SciPost Physics. DOI
(2022). Long-step path-following algorithm for quantum information theory: Some numerical aspects and applications. Numerical Algebra, Control & Optimization. DOI
Roeland Wiersema, Cunlu Zhou, Yvette de Sereville, Juan Felipe Carrasquilla, Yong Baek Kim, Henry Yuen. (2020). Exploring Entanglement and Optimization within the Hamiltonian Variational Ansatz. PRX Quantum. DOI
(2020). Self-concordance and matrix monotonicity with applications to quantum entanglement problems. Applied Mathematics and Computation. DOI
(2019). Long-step path-following algorithm for solving symmetric programming problems with nonlinear objective functions. Computational Optimization and Applications. DOI

(2018). Free Pseudodistance Growth Rates for Spatially Coupled LDPC Codes over the BEC. 2018 IEEE Information Theory Workshop (ITW). DOI