Quantum Machine Learning I
FOCUS · S37 · ID: 46944
Presentations
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Representation Learning via Quantum Neural Tangent Kernels
ORAL
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Publication: appear soon in arxiv in this year.
Presenters
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Junyu Liu
- University of Chicago
Authors
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Junyu Liu
- University of Chicago
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Francesco Tacchino
- IBM Research Zurich
- IBM Quantum, IBM Research Zurich
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Jennifer R Glick
- IBM Quantum
- IBM TJ Watson Research Center
- IBM
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Liang Jiang
- University of Chicago
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Antonio Mezzacapo
- IBM
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Importance of Kernel Bandwidth in Quantum Machine Learning
ORAL
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Presenters
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Ruslan Shaydulin
- Argonne National Laboratory
Authors
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Ruslan Shaydulin
- Argonne National Laboratory
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Stefan Wild
- Argonne National Laboratory
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Quantum Enhanced Optimization for Industrial-Scale Problems
ORAL
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Presenters
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William P Banner
- Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science
- Massachusetts Institute of Technology MI
Authors
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William P Banner
- Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science
- Massachusetts Institute of Technology MI
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Tim Menke
- Harvard University, Massachusetts Institute of Technology Research Laboratory of Electronics
- Harvard University
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Shima B Hadiashar
- Zapata Computing Inc
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Grzegorz Mazur
- Zapata Computing Inc, Jagiellonian University Department of Computational Methods in Chemistry
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Marcin Ziolkowski
- BMW Group Information Technology Research Center
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Ken Kennedy
- BMW Group Information Technology Research Center
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Jeffrey A Grover
- Massachusetts Institute of Technology MI
- Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science
- Massachusetts Institute of Technology MIT
- Northrop Grumman - Mission Systems
- Massachusetts Institute of Technology
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Jhonathan Romero
- Zapata Computing Inc
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William D Oliver
- Massachusetts Institute of Technology MIT
- Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Research Laboratory of Electronics
- MIT Lincoln Laboratory and Department of Electrical Engineering & Computer Science and Department of Physics, Massachusetts Institute of Technology
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Generative Quantum Learning of Joint Probability Distribution Functions
ORAL
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Publication: arXiv:2109.06315
Presenters
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Sonika Johri
- IonQ, Inc
Authors
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Sonika Johri
- IonQ, Inc
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Elton Zhu
- Fidelity Center of Applied Technology, FMR LLC
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Dave Bacon
- IonQ Inc
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Mert Esencan
- Fidelity Center of Applied Technology, FMR LLC
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Jungsang Kim
- IonQ Inc
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Mark Muir
- Fidelity Center of Applied Technology, FMR LLC
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Nikhil Murgai
- Fidelity Center of Applied Technology, FMR LLC
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Jason Nguyen
- IonQ Inc
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Neal Pisenti
- IonQ Inc
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Adam Schouela
- Fidelity Center of Applied Technology, FMR LLC
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Ksenia Sosnova
- IonQ Inc
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Ken Wright
- IonQ Inc
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Learning exotic phases of matter via hidden Born Machines
ORAL
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Presenters
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Khadijeh Najafi
- IBM Zurich
- IBM
Authors
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Khadijeh Najafi
- IBM Zurich
- IBM
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Abigail McClain Gomez
- Harvard
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Susanne F Yelin
- Harvard University
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Quantum kernels for electronic health records classification
ORAL
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Presenters
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Zoran Krunic
- Amgen
Authors
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Omar Shehab
- IBM TJ Watson Research Center
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Zoran Krunic
- Amgen
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Frederik Floether
- IBM Quantum, Zurich
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George Seegan
- Amgen
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Nathan Earnest
- IBM
- IBM Quantum, NY
- IBM Quantum
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Covariant quantum kernels for data with group structure
ORAL · Invited
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Presenters
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Jennifer R Glick
- IBM Quantum
- IBM TJ Watson Research Center
- IBM
Authors
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Jennifer R Glick
- IBM Quantum
- IBM TJ Watson Research Center
- IBM
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Direct implementation of a perceptron in superconducting circuit quantum hardware
ORAL
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Presenters
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Stefan Filipp
- TU Munich & Walther-Meissner-Institute
Authors
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Stefan Filipp
- TU Munich & Walther-Meissner-Institute
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Marek Pechal
- ETH Zurich
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Federico Roy
- Walther-Meißner-Institute & Saarland University
- Walther-Meißner-Institut, Bavarian Academy of Sciences and Humanities
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Samuel A Wilkinson
- University Erlangen-Nürnberg
- Friedrich-Alexander University Erlangen-
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Gian Salis
- IBM Research - Zurich
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Max Werninghaus
- Walther-Meißner-Institute
- Walther-Meißner-Institut, Bavarian Academy of Sciences and Humanities
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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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On the Expressive Power of Quantum versus Classical Generative Models
ORAL
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Presenters
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Luis Serrano
- Zapata Computing Inc
Authors
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Luis Serrano
- Zapata Computing Inc
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Alejandro Perdomo-Ortiz
- Zapata Computing Inc
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Classification using quantum similarity learning
ORAL
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Presenters
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Casey Jao
- Agnostiq Inc
Authors
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Casey Jao
- Agnostiq Inc
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Santosh Radha
- Agnostiq Inc
- Case Western Reserve University
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Compression and dimensionality reduction techniques for Quantum Machnine Learning applications in High Energy Physics
ORAL
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Presenters
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Panagiotis Barkoutsos
- IBM Research - Zurich
Authors
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Panagiotis Barkoutsos
- IBM Research - Zurich
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Denis-Patrick Odagiu
- Institute of Particle Physics and Astrophysics, ETH Zürich
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Vasileios Belis
- Institute of Particle Physics and Astrophysics, ETH Zürich
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Lennart Schulze
- IBM Research Europe - Zurich Research Laboratory
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Christina Reissel
- Institute of Particle Physics and Astrophysics, ETH Zürich
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Elias Fernandez-Combarro Alvarez
- Faculty of Sciences, University of Oviedo
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Jennifer R Glick
- IBM Quantum
- IBM TJ Watson Research Center
- IBM
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Sofia Vallecorsa
- CERN
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Guenther Dissertori
- ETH Zurich
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Ivano Tavernelli
- IBM Research - Zurich
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Machine learning phase transitions in a scalable manner
ORAL
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Publication: Arturo De Giorgi, Marina Krstic Marinkovic, Machine learning the O(2) model critical exponents -- in preparation
Presenters
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Marina Krstic Marinkovic
- ETH Zurich
Authors
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Marina Krstic Marinkovic
- ETH Zurich
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Arturo DeGiorgi
- Autonomous University of Madrid
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