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 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 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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