Quantum Learning Theory Professors in Global

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Sergii Strelchuk
University of Oxford United Kingdom
quantum learning theory
quantum computing
quantum complexity theory
quantum algorithms
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Anurag Anshu
Harvard University United States of America
quantum learning theory
quantum complexity theory
quantum communication
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Yanqiu Wu
Macquarie University Australia
quantum machine learning
quantum adversarial machine learning
deep reinforcement learning
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Vaneet Aggarwal
Purdue University United States of America
quantum machine learning
reinforcement learning
supervised learning
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Jordan Cotler
Harvard University United States of America
quantum field theory
quantum computation
quantum algorithms
quantum cosmology
quantum gravitational systems
quantum information
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Rosaria Lena
University of Glasgow United Kingdom
quantum physics education
quantum technology in education
physics learning
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Jørgen Andersen
University of Southern Denmark Denmark
quantum algorithms
quantum communication
quantum topology
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Yee Teh
University of Oxford United Kingdom
machine learning
deep learning
probabilistic learning
large scale machine learning
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Sarthak Yadav
Aalborg University Denmark
deep learning
representation learning
self-supervised learning
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Randall Balestriero
Brown University United States of America
deep learning
representation learning
self-supervised learning
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Jason Lee
University of California, Berkeley United States of America
machine learning
deep learning
representation learning
reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
machine learning
deep learning
representation learning
reinforcement learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
robot learning
reinforcement learning
deep reinforcement learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
computational learning theory
statistical learning theory
deep learning
computational statistical machine learning
large-scale machine learning
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Yuhong Guo
Carleton University Canada
machine learning
representation learning
self-supervised learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
machine learning
representation learning
self-supervised learning
reinforcement learning
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Stephen Barnett
University of Glasgow United Kingdom
quantum communications
quantum optics
quantum cryptography
quantum information
quantum measurements
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Herman Verlinde
Princeton University United States of America
quantum theory
quantum information theory
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John Wright
University of California, Berkeley United States of America
quantum state learning
quantum computing
quantum complexity theory
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Daniel Lidar
University of Southern California United States of America
quantum machine learning
quantum computation
quantum algorithms
quantum information processing
quantum control
quantum error correction
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Roman Krems
University of British Columbia Canada
quantum machine learning
quantum computing
quantum algorithms
machine learning
quantum sensing
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