Quantum Learning Professors in Global

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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
quantum annealing
quantum phase transitions
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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
quantum annealing
quantum phase transitions
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C. Green
University of Wisconsin–Madison United States of America
human learning
cognitive learning
depth learning
transfer learning
perceptual learning
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Yichen Zhang
Purdue University United States of America
reinforcement learning
multi-task learning
distributed learning
transfer learning
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Vaneet Aggarwal
Purdue University United States of America
quantum machine learning
supervised learning
reinforcement learning
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Iman Marvian
Duke University Singapore
quantum computation
quantum algorithms
quantum information theory
quantum error correction
quantum circuits
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Mark Wilde
Cornell University Netherlands
quantum computation
quantum algorithms
quantum computational complexity theory
quantum error correction
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Rosaria Lena
University of Glasgow United Kingdom
quantum technology in education
quantum physics education
physics learning
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Suhail Zubairy
Texas A&M University United States of America
quantum computing
quantum informatics
quantum optics
quantum thermodynamics
quantum state measurement
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Stephan Haas
University of Southern California United States of America
quantum information theory
quantum magnetism
quantum phase transitions
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Philip Taranto
University of Manchester United Kingdom
quantum computing
quantum information theory
quantum thermodynamics
quantum foundations
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Jonathan Baugh
University of Waterloo Canada
quantum information processing
quantum electronics
quantum sensors
quantum transport
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Yuxin Chen
University of Pennsylvania United States of America
reinforcement learning
machine learning theory
statistical machine learning
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Samory Kpotufe
Columbia University United States of America
multi-task learning
transfer learning
statistical machine learning
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Qingyun Wu
Pennsylvania State University United States of America
reinforcement learning
automated machine learning
learning
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Roman Krems
University of British Columbia Canada
quantum machine learning
quantum computing
quantum algorithms
quantum sensing
machine learning
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Casey Myers
University of New South Wales Australia
quantum machine learning
quantum computing
quantum algorithms
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Howard Li
University of New Brunswick Canada
quantum machine learning
quantum computing
quantum algorithms
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Yanqiu Wu
Macquarie University Australia
quantum machine learning
quantum adversarial machine learning
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Mats Granath
University of Gothenburg Sweden
quantum machine learning
deep machine learning
quantum error correction
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Wenyuan Wang
University of Calgary Canada
quantum machine learning
quantum networks
quantum metrology
machine learning
quantum random number generation
quantum communication
quantum conferencing
linear optical quantum computing
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