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Cunlu Zhou

Has open position

Assistant Professor and IBM Quantum Research Chair

Université de Sherbrooke
Country flagCanada

Research Interests

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About

Professor Cunlu Zhou is a faculty member at Université de Sherbrooke, Canada. His research focuses on quantum information theory, particularly in areas such as quantum phase estimation, measurement-induced entanglement, and optimization techniques within variational quantum circuits. Professor Zhou's recent publications include works on compressed sensing and the Hamiltonian Variational Ansatz, contributing to advancements in the understanding of entanglement and its applications in quantum computing.

Positions (1)

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Cunlu Zhou

University Name
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Université de Sherbrooke

Cunlu Zhou is recruiting multiple postdoctoral researchers to join a research group at the Université de Sherbrooke , in the Department of Computer Science and Institut quantique, with connections to the Mila – Quebec Artificial Intelligence Institute. The research agenda is flexible and encourages successful candidates to develop original ideas that advance the group’s broader program in quantum computing and artificial intelligence . Core research areas include quantum algorithms and quantum error correction within the IBM Quantum Research Chair, with close collaboration with IBM Quantum. Additional projects address quantum algorithms for chemistry and scattering, quantum algorithms for finance, quantum machine learning, AI for quantum computing, hybrid continuous-variable and discrete-variable quantum computing, and quantum learning. The work involves collaborations with organizations and institutes including IBM Quantum, AMF, CDPQ, Quandela, Mila, IVADO, the Institute of Cosmos Sciences at the University of Barcelona, Nord Quantique, NC State University, and Perimeter Institute. Some projects offer co-supervision with Roman Krems of the University of British Columbia and Anne MacKay of the Université de Sherbrooke. The positions provide an opportunity to work across quantum information, machine learning, physics, computational science, and related interdisciplinary research environments.

2 days ago

Articles (4)

Year:

2024

Year:

2023

Year:

2022

Year:

2020