Quantum Machine Learning III
ORAL · X32 · ID: 381542
Presentations
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Branching Quantum Convolutional Neural Networks: A Variational Ansatz with Mid-Circuit Measurements
ORAL
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Presenters
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Ian MacCormack
University of Chicago
Authors
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Ian MacCormack
University of Chicago
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Conor Delaney
Aliro Quantum Technologies
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Alexey Galda
University of Chicago, James Franck Institute, University of Chicago
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Prineha Narang
Harvard University, SEAS, Harvard University, John A. Paulson School of Engineering & Applied Science, Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Physics, Harvard University, John A. Paulson School of Engineering and Applied Sciences, Harvard University
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Learning local and nonlocal quatum data via generative model over tensor network architechture
ORAL
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Presenters
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Khadijeh Najafi
IBM TJ Watson Research Center
Authors
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Khadijeh Najafi
IBM TJ Watson Research Center
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Ahmadreza Azizi
Virginia Tech, VT
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Miles Stoudenmire
Flatiron Institute
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Xun Gao
Physics, Harvard
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Mikhail Lukin
Harvard University, Physics, Harvard
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Susanne F Yelin
Physics, Harvard
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Masoud Mohseni
Google AI, Google, Google AI Quantum, Google Quantum AI
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A few examples of Machine Learning and Artificial Neural Networks applied to Quantum Physics
ORAL
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Presenters
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Franco Nori
RIKEN and University of Michigan
Authors
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Franco Nori
RIKEN and University of Michigan
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Quantum-enhanced data classification with a variational entangled sensor network
ORAL
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Presenters
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Yi Xia
University of Arizona
Authors
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Yi Xia
University of Arizona
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Wei Li
University of Arizona
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Quntao Zhuang
University of Arizona
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Zheshen Zhang
University of Arizona
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Classical variational simulation of the Quantum Approximate Optimization Algorithm
ORAL
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Presenters
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Matija Medvidović
Columbia University
Authors
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Matija Medvidović
Columbia University
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Giuseppe Carleo
EPFL, Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), EPF Lausanne
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Using Reinforcement Learning for Quantum Control in Magnetic Resonance
ORAL
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Presenters
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Will Kaufman
Dartmouth College
Authors
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Will Kaufman
Dartmouth College
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Benjamin Alford
Dartmouth College
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Pai Peng
MIT, Massachusetts Institute of Technology MIT
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Xiaoyang Huang
MIT, Massachusetts Institute of Technology MIT
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Paola Cappellaro
Massachusetts Institute of Technology MIT, MIT
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Chandrasekhar Ramanathan
Dartmouth College, Physics and Astronomy, Dartmouth College
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Machine Learning-Derived Entanglement Witnesses
ORAL
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Presenters
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Eric Zhu
Univ of Toronto
Authors
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Eric Zhu
Univ of Toronto
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Larry T. H. Wu
Univ of Toronto
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Li Qian
Univ of Toronto
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Unsupervised machine learning quantum dynamics
ORAL
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Presenters
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Matthew Choi
Univ of Toronto
Authors
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Matthew Choi
Univ of Toronto
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Daniel Flam-Shepherd
Univ of Toronto
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Thi Ha Kyaw
Univ of Toronto, Department of Computer Science and Chemistry, University of Toronto
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Alan Aspuru-Guzik
Univ of Toronto, Chemistry/Computer Science, University of Toronto, Department of Computer Science and Chemistry, University of Toronto
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Quantum adiabatic machine learning with zooming
ORAL
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Presenters
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Jean-Roch Vlimant
Caltech
Authors
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Alexander Zlokapa
Caltech
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Alex Mott
DeepMind Technologies
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Joshua Job
Lockheed Martin
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Jean-Roch Vlimant
Caltech
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Daniel Lidar
Univ of Southern California, University of Southern California
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Maria Spiropulu
Caltech
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Convolutional Neural Networks and Symmetries of Quantum 1D Spin Chains
ORAL
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Presenters
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Shah Saad Alam
Rice Univ
Authors
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Shah Saad Alam
Rice Univ
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Yilong Ju
Rice Univ
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Jonathan Minoff
Rice Univ
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Fabio Anselmi
Baylor College of Medicine
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Ankit Patel
Rice Univ
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Han Pu
Rice Univ, Department of Physics and Astronomy, Rice University
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Deep Quantum Control: End-to-end quantum control using deep learning algorithms
ORAL
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Presenters
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Omid Khosravani
Duke University
Authors
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Omid Khosravani
Duke University
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Unsupervised Learning of Physical Systems with Two-dimensional Tensor Network Structures
ORAL
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Presenters
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Ahmadreza Azizi
Virginia Tech, VT
Authors
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Ahmadreza Azizi
Virginia Tech, VT
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Khadijeh Najafi
IBM TJ Watson Research Center
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Masoud Mohseni
Google AI, Google, Google AI Quantum, Google Quantum AI
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Pattern-Recognition Training of a Quantum Neuron on a Quantum Computer
ORAL
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Presenters
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London Cavaletto
Wayne State University
Authors
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London Cavaletto
Wayne State University
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Luca Candelori
Wayne State University
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Alex Matos Abiague
Wayne State University, Physics and Astronomy, Wayne State University, Department of Physics and Astronomy, Wayne State University, Wayne State Univ
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Explainable Natural Language Processing with Matrix Product States
ORAL
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Presenters
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thiparat chotibut
Physics, Chulalongkorn University
Authors
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Pradeep Bhadola
The Institute for Fundamental Study, Naresuan University
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Jirawat Tangpanitanon
Quantum Technology Foundation (Thailand), Centre for Quantum Technologies, NUS, Natl Univ of Singapore
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Chanatip Mangkang
Physics, Chulalongkorn University
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Yuichiro Minato
blueqat Inc.
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Dimitris Angelakis
Centre for Quantum Technologies, National University of Singapore, Centre for Quantum Technologies, NUS, Natl Univ of Singapore
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thiparat chotibut
Physics, Chulalongkorn University
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Machine-learning tools for rapid control, calibration and characterization of QPUs and other quantum devices
ORAL
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Presenters
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Shai Machnes
Forschungszentrum Julich, Forschungszentrum Jülich
Authors
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Nicolas Wittler
Forschungszentrum Julich
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Federico Roy
IBM Zurich, IBM Research Zürich, IBM Research - Zurich
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Kevin Pack
Forschungszentrum Julich, Forschungszentrum Jülich
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Max Werninghaus
IBM Zurich, IBM Research Zürich, IBM Research - Zurich, IBM Quantum - IBM Research Zurich
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Anurag Saha Roy
Citizen scientist, Citizen Scientist, citizen scientist
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Daniel Egger
IBM Zurich, IBM Research Zürich, IBM Research - Zurich
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Stefan Filipp
IBM Zurich
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Frank K Wilhelm
Forschungszentrum Julich, Forschungszentrum Jülich
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Shai Machnes
Forschungszentrum Julich, Forschungszentrum Jülich
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