Quantum Machine Learning II
FOCUS · T37 · ID: 46947
Presentations
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Theory of overparametrization in quantum neural networks
ORAL
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Publication: https://arxiv.org/abs/2109.11676
Presenters
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Martin Larocca
- Los Alamos National Laboratoy
Authors
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Martin Larocca
- Los Alamos National Laboratoy
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Marco Cerezo
- Los Alamos National Laboratory
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Patrick J Coles
- Los Alamos National Laboratory
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Diego García-Martín
- Barcelona Supercomputing Center
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Nathan Ju
- Los Alamos National Laboratory
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Experimentally Realizable Continuous-variable Quantum Neural Networks
ORAL
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Presenters
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Shikha Bangar
- University of Tennessee
Authors
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Shikha Bangar
- University of Tennessee
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Kubra Yeter-Aydeniz
- MITRE Corporation
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George Siopsis
- University of Tennessee
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Classifying Many-Body Wavefunctions by Means of a Quantum Convolutional Neural Network
ORAL
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Presenters
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Nathaniel A Wrobel
- Louisiana State University
Authors
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Nathaniel A Wrobel
- Louisiana State University
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Juana Moreno
- Louisiana State University
- Louisiana State University, LA , USA
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Ka-Ming Tam
- Louisiana State University
- Louisiana State University, LA, USA
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Anshumitra Baul
- Louisiana State University
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Diagnosing barren plateaus with tools from quantum optimal control
ORAL
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Publication: arXiv:2105.14377
Presenters
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Marco Cerezo
- Los Alamos National Laboratory
Authors
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Marco Cerezo
- Los Alamos National Laboratory
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Piotr J Czarnik
- Los Alamos National Laboratory
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Kunal Sharma
- University of Maryland, College Park
- Louisiana State University
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Gopikrishnan Muraleedharan
- University of New Mexico
- Los Alamos National Laboratory
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Patrick J Coles
- Los Alamos National Laboratory
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Martin Larocca
- Los Alamos National Laboratoy
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Avoiding The Barren Plateau in the Variational Quantum Circuits With Bayesian Learning
ORAL
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Presenters
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Ali Izadi Rad
- University of Maryland, College Park
Authors
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Ali Izadi Rad
- University of Maryland, College Park
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A novel approach to time series modeling using quantum generative netoworks
ORAL
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Presenters
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Pooja Rao
- Agnostiq Inc.
Authors
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Pooja Rao
- Agnostiq Inc.
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Santosh Radha
- Agnostiq Inc
- Case Western Reserve University
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Barren plateaus preclude learning scramblers
ORAL · Invited
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Publication: Phys. Rev. Lett. 126, 190501 (2021)
Presenters
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ZOE HOLMES
- Los Alamos National Laboratory
Authors
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ZOE HOLMES
- Los Alamos National Laboratory
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Andrew T Sornborger
- Los Alamos National Laboratory
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Andrew T Arrasmith
- Los Alamos National Laboratory
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Bin Yan
- Los Alamos National Laboratory
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Andreas J Albrecht
- University of California, Davis
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Patrick J Coles
- Los Alamos National Laboratory
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Storage capacity and learning capability of quantum neural networks
ORAL
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Publication: Storage capacity and learning capability of quantum neural networks,
M Lewenstein, A Gratsea, A Riera-Campeny, A Aloy, V Kasper, A Sanpera
Quantum Science and Technology, 2021Presenters
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Aikaterini Gratsea
- ICFO-The Institute of Photonic Sciences
Authors
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Aikaterini Gratsea
- ICFO-The Institute of Photonic Sciences
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Valentin Kasper
- Harvard University
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Maciej A Lewenstein
- ICFO-The Institute of Photonic Sciences
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Anna Sanpera
- UAB
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Albert Alloy
- ICFO
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Andreu Riera-Campeny
- UAB
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Realization of a quantum neural network by repeat-until-success circuits in a superconducting quantum processor
ORAL
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Presenters
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Miguel Moreira
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
- Delft University of Techology
- Delft University of Technology
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology
Authors
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Miguel Moreira
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
- Delft University of Techology
- Delft University of Technology
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology
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Gian Giacomo Guerreschi
- Intel Labs, Intel Corporation, USA
- Intel
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Wouter J Vlothuizen
- QuTech and Netherlands Organization for Applied Scientific Research, The Netherlands
- Netherlands Organisation for Applied Scientific Research
- Delft University of Technology,
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Jeroen van Straten
- QuTech and Quantum and Computer Engineering Department, Delft University of Technology, The Netherlands
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Hans van Someren
- QuTech and Quantum and Computer Engineering Department, Delft University of Technology, The Netherlands
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Jorge F Marques
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
- Delft University of Technology
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Hany Ali
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
- Delft University of Technology
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Nandini Muthusubramanian
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
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Christos Zachariadis
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
- Delft University of Technology
- QuTech, Kavli Institute of Nanoscience, Delft University of Technology
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Marc Beekman
- QuTech and Netherlands Organisation for Applied Scientific Research, The Netherlands
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Nadia Haider
- QuTech and Netherlands Organisation for Applied Scientific Research, The Netherlands
- Netherlands Organisation for Applied Scientific Research
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Alessandro Bruno
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
- Delft University of Technology
- QuTech, Kavli Institute of Nanoscience, Delft University of Technology
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology, and Quantware, B.V., The Netherlands
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Carmina G Almudever
- QuTech and Quantum and Computer Engineering Department, Delft University of Technology, The Netherlands
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Anne Y Matsuura
- Intel Corporation, Hillsboro
- Intel Corporation, Santa Clara
- Intel Labs, Intel Corporation, USA
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Leonardo DiCarlo
- QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands
- Delft University of Technology
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Realizing Quantum Convolutional Neural Networks on a Superconducting Quantum Processor to Recognize Quantum Phases
ORAL
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Publication: https://arxiv.org/abs/2109.05909
Presenters
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Johannes Herrmann
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
Authors
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Johannes Herrmann
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Sergi Masot Llima
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Ants Remm
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Petr Zapletal
- University of Erlangen-Nuremberg
- Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
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Nathan A McMahon
- Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
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Colin Scarato
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Francois Swiadek
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Christian Kraglund Andersen
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Christoph Hellings
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Sebastian Krinner
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Nathan Lacroix
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Stefania Lazar
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Michael Kerschbaum
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
- ETH Zurich
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Dante Colao Zanuz
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Graham J Norris
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Michael J Hartmann
- FAU Erlangen
- Friedrich-Alexander University Erlangen-Nurnberg
- Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
- University Erlangen-Nürnberg
- Friedrich-Alexander-University
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Andreas Wallraff
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Christopher Eichler
- ETH Zurich
- Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
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Shortening Quantum Convolutional Neural Networks to Constant Depth
ORAL
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Publication: Realizing Quantum Convolutional Neural Networks on a Superconducting Quantum Processor to Recognize Quantum Phases, J. Herrmann et al, arXiv:2109.05909
Presenters
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Nathan A McMahon
- Friedrich-Alexander University Erlangen-Nuremberg
Authors
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Nathan A McMahon
- Friedrich-Alexander University Erlangen-Nuremberg
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Petr Zapletal
- University of Erlangen-Nuremberg
- Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
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Michael J Hartmann
- FAU Erlangen
- Friedrich-Alexander University Erlangen-Nurnberg
- Department of Physics, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
- University Erlangen-Nürnberg
- Friedrich-Alexander-University
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Evaluating Generalization in Classical and Quantum Generative Machine Learning Models: Part I
ORAL
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Presenters
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Marta Mauri
- Zapata Computing
- Zapata Computing Canada
Authors
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Marta Mauri
- Zapata Computing
- Zapata Computing Canada
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Kaitlin M Gili
- University of Oxford
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Alejandro Perdomo-Ortiz
- Zapata Computing Inc
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Evaluating Generalization in Classical and Quantum Generative Machine Learning Models: Part II
ORAL
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Presenters
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Kaitlin M Gili
- University of Oxford
Authors
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Kaitlin M Gili
- University of Oxford
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Marta Mauri
- Zapata Computing
- Zapata Computing Canada
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Alejandro Perdomo-Ortiz
- Zapata Computing Inc
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