Quantum Machine Learning I
FOCUS · A17 · ID: 353456
Presentations
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Challenges and opportunities for hybrid quantum-classical machine learning and optimization
Invited
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Presenters
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Masoud Mohseni
- Google AI
- Google Inc.
- Google Inc
- Google Research
- Google Quantum AI Laboratory
Authors
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Masoud Mohseni
- Google AI
- Google Inc.
- Google Inc
- Google Research
- Google Quantum AI Laboratory
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Variational Quantum Unsampling on an Photonic Quantum Processor
ORAL
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Presenters
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Jacques Carolan
- Research Laboratory of Electronics, Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
Authors
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Jacques Carolan
- Research Laboratory of Electronics, Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
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Masoud Mohseni
- Google AI
- Google Inc.
- Google Inc
- Google Research
- Google Quantum AI Laboratory
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Jonathan P Olson
- Zapata Computing Inc.
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Mihika Prabhu
- Massachusetts Institute of Technology MIT
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Changchen Chen
- Massachusetts Institute of Technology MIT
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Darius Bunandar
- Research Laboratory of Electronics, Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
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Murphy Yuezhen Niu
- Google Quantum AI Laboratory
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Nicholas C Harris
- Lightmatter
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Franco N. C. Wong
- Massachusetts Institute of Technology MIT
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Michael Hochberg
- Elenion Technologies
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Seth Lloyd
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
- MIT
- Mechanical Engineering, Massachusetts Institute of Technology
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Dirk R. Englund
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
- Electrical Engineering and Computer Science, Massachusetts Institute of Technology MIT
- Research Laboratory of Electronics, Massachusetts Institute of Technology
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Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
ORAL
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Presenters
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Guillaume Verdon
- Quantum, X - The Moonshot Factory
Authors
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Guillaume Verdon
- Quantum, X - The Moonshot Factory
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Jacob Marks
- Physics Department, Stanford University
- Quantum, X - The Moonshot Factory
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Sasha Nanda
- Quantum, X - The Moonshot Factory
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Stefan Leichenauer
- Quantum, X - The Moonshot Factory
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Jack Hidary
- Quantum, X - The Moonshot Factory
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Variational Fast Forwarding for Quantum Simulation Beyond the Coherence Time
ORAL
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Presenters
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Andrew Sornborger
- Los Alamos National Laboratory
Authors
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Andrew Sornborger
- Los Alamos National Laboratory
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Cristina Cirstoiu
- Computer Science, Oxford University
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Zoe Holmes
- Controlled Quantum Dynamics Theory Group, Imperial College
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Joseph Iosue
- QC Ware
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Lukasz Cincio
- Los Alamos National Laboratory
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Patrick Coles
- Los Alamos National Laboratory, New Mexico
- Los Alamos National Laboratory
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Stochastic Gradient Descent for Hybrid Quantum-Classical Optimization
ORAL
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Presenters
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Frederik Wilde
- Freie Universität Berlin
Authors
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Frederik Wilde
- Freie Universität Berlin
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Ryan Sweke
- Freie Universität Berlin
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Johannes Jakob Meyer
- Freie Universität Berlin
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Maria Schuld
- University of KwaZulu-Natal
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Paul K. Fährmann
- Freie Universität Berlin
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Barthélémy Meynard-Piganeau
- Ecole Polytechnique
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Jens Eisert
- Dahlem Center for Complex Quantum Systems, Free University of Berlin
- Freie Universität Berlin
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Robust and efficient algorithms for high-dimensional black-box quantum optimization
ORAL
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Presenters
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Zhaoqi Leng
- Physics, Princeton University
- Princeton University
Authors
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Zhaoqi Leng
- Physics, Princeton University
- Princeton University
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Pranav Mundada
- Princeton University
- Department of Electrical Engineering, Princeton University
- Electrical Engineering, Princeton University
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Saeed Ghadimi
- Operations Research and Financial Engineering, Princeton University
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Andrew Houck
- Princeton University
- Electrical Engineering, Princeton University
- Department of Electrical Engineering, Princeton University
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A Hybrid Quantum-Classical Algorithm for Training Quantum Boltzmann Machines
ORAL
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Presenters
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Christa Zoufal
- IBM Research - Zurich
Authors
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Christa Zoufal
- IBM Research - Zurich
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Aurélien Lucchi
- ETH Zurich
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Stefan Woerner
- IBM Research - Zurich
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Quantum classifier with tailored quantum kernel
ORAL
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Presenters
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Kyungdeock Park
- Korea Advanced Institute of Science and Technology
- KAIST
Authors
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Kyungdeock Park
- Korea Advanced Institute of Science and Technology
- KAIST
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Carsten Blank
- Data Cybernetics
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June-Koo(KEVIN) RHEE
- Korea Advanced Institute of Science and Technology
- KAIST
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Francesco Petruccione
- Univ of KwaZulu-Natal
- University of KwaZulu-Natal
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Machine learning with solid-state NMR using quantum kernel
ORAL
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Presenters
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Takeru Kusumoto
- Osaka Univ
Authors
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Takeru Kusumoto
- Osaka Univ
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Kosuke Mitarai
- Osaka University
- Graduate School of Engineering Science, Osaka University
- Osaka Univ
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Makoto Negoro
- Quantum Information and Quantum Biology Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka Univ
- Osaka Univ
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Keisuke Fujii
- Graduate School of Engineering Science, Osaka University
- Department of Systems Innovation, Graduate School of Engineering Science, Osaka University
- Osaka University
- Osaka Univ
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Masahiro Kitagawa
- Graduate school of Engineering Science, Osaka Univ
- Osaka Univ
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Hybrid quantum-classical algorithms for generative models
ORAL
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Presenters
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Teng Bian
- Department of Physics, Department of Chemistry, and the Birck Nanotechnology Center, Purdue Univ
Authors
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Teng Bian
- Department of Physics, Department of Chemistry, and the Birck Nanotechnology Center, Purdue Univ
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Sabre Kais
- Department of Chemistry, Department of Physics and Astronomy, and Birck Nanotechnology Center, Purdue University
- Purdue Univ
- Department of Chemistry and Physics, Purdue Univ
- Department of Physics, Department of Chemistry, and the Birck Nanotechnology Center, Purdue Univ
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Quantum-tailored machine-learning architectures
ORAL
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Presenters
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Elie Genois
- Institut quantique and Département de Physique, Universite de Sherbrooke
Authors
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Elie Genois
- Institut quantique and Département de Physique, Universite de Sherbrooke
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Agustin Di Paolo
- Institut quantique and Departement de Physique, Universite de Sherbrooke
- Universite de Sherbrooke
- Département de Physique, Université de Sherbrooke
- Institut quantique & Département de Physique, Université de Sherbrooke
- Institut Quantique and Departement de Physique, Universite de Sherbrooke, Sherbrooke, Canada
- Institut quantique and Département de Physique, Universite de Sherbrooke
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Alexandre Blais
- Universite de Sherbrooke
- Institut quantique and Departement de Physique, Universite de Sherbrooke
- Institut Quantique, Universite de Sherbrooke
- Département de Physique, Université de Sherbrooke
- Institut quantique & Département de Physique, Université de Sherbrooke
- Institut Quantique and Departement de Physique, Universite de Sherbrooke, Sherbrooke, Canada
- Institut quantique and Département de Physique, Universite de Sherbrooke
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Jonathan Gross
- Institut Quantique, Universite de Sherbrooke
- Institut quantique and Département de Physique, Universite de Sherbrooke
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Scalable Quantum State Tomography with Attention Network
ORAL
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Presenters
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Peter Cha
- Cornell University
Authors
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Peter Cha
- Cornell University
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Juan Carrasquilla
- Vector Institute
- Vector Institute for Artificial Intelligence
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Paul Ginsparg
- Cornell University
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Eun-Ah Kim
- Cornell University
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Implementing perceptron models with qubits
ORAL
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Presenters
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Roeland Wiersema
- Radboud Univ Nijmegen
Authors
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Roeland Wiersema
- Radboud Univ Nijmegen
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Hilbert Johan Kappen
- Radboud Univ Nijmegen
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