Quantum Machine Learning: Theory and Training
FOCUS · MAR-X34 · ID: 3108353
Presentations
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Abstract Withdrawn
ORAL · Withdrawn
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Geometric quantum machine learning of provably efficient quantum algorithms
ORAL
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Publication: arXiv:2409.01496; arXiv:2402.03871
Presenters
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Oleksandr Kyriienko
- University of Exeter
Authors
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Oleksandr Kyriienko
- University of Exeter
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Chukwudubem Umeano
- University of Exeter
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Stefano Scali
- University of Exeter
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Automated Quantum Algorithm Design via Evolutionary Search and Hierarchical Quantum Circuit Representation
ORAL
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Presenters
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Amy S Rouillard
- Stellenbosch University
Authors
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Amy S Rouillard
- Stellenbosch University
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Matt Lourens
- Stellenbosch University
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Francesco Petruccione
- University of KwaZulu-Natal
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Provably Efficient Adiabatic Learning for Quantum-Classical Dynamics
ORAL
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Publication: arXiv:2408.00276
Presenters
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Changnan Peng
- Massachusetts Institute of Technology
Authors
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Changnan Peng
- Massachusetts Institute of Technology
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Di Luo
- Massachusetts Institute of Technology
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Gia-Wei Chern
- University of Virginia
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Jin-Peng Liu
- Massachusetts Institute of Technology
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The quantum-classical crossover in machine learning
ORAL
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Presenters
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Richard D Barney
- University of Maryland, College Park
- University of Maryland College Park
Authors
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Richard D Barney
- University of Maryland, College Park
- University of Maryland College Park
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Aranya Chakraborty
- University of Maryland, College Park
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Aritra Das
- University of Maryland, College Park
- University of Maryland College Park
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Victor Galitski
- University of Maryland, College Park
- University of Maryland College Park
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Techniques for design and training of large quantum machine learning models
ORAL
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Presenters
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Sonika Johri
- Coherent Computing Inc
Authors
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Sonika Johri
- Coherent Computing Inc
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Quo vadis, quantum machine learning?
ORAL · Invited
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Presenters
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Jens Eisert
- Freie Universität Berlin
- FU Berlin
Authors
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Jens Eisert
- Freie Universität Berlin
- FU Berlin
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Magic in quantum machine learning
ORAL
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Presenters
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Marco Paini
- Rigetti Computing
Authors
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Marco Paini
- Rigetti Computing
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Shadow learning for efficiently estimating ground state properties
ORAL
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Publication: "Shadow Learning for efficient estimation of ground state properties", ArXiv:2312.?????
Presenters
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Kartiek Agarwal
- Argonne National Laboratory
- Argonne National Laboratory and McGill University
Authors
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Kartiek Agarwal
- Argonne National Laboratory
- Argonne National Laboratory and McGill University
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Pierre-Gabriel Rozon
- McGill University
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Variational Measurement-Based Quantum Computation for generative modeling
ORAL
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Presenters
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Hans J Briegel
- University of Innsbruck
Authors
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Arunava Majumder
- University of Innsbruck
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Marius Krumm
- University of Innsbruck
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Hendrik P Nautrup
- University of Innsbruck
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Lukas Fiderer
- University of Innsbruck
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Tina Radkohl
- University of Innsbruck
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Sofiene Jerbi
- Freie Universität Berlin
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Hans J Briegel
- University of Innsbruck
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Quantum-data-driven dynamical transition in quantum learning
ORAL
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Publication: arXiv: 2410.01955
Presenters
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Bingzhi Zhang
- University of Southern California
Authors
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Bingzhi Zhang
- University of Southern California
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Junyu Liu
- University of Chicago
- the University of Pittsburgh
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Liang Jiang
- University of Chicago
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Quntao Zhuang
- University of Southern California
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Abstract Withdrawn
ORAL · Withdrawn
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Design, Implementation, Benchmarking of Hybrid Quantum-Classical Reservoir Computing
ORAL
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Presenters
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Davide Venturelli
- USRA Research Institute for Advanced Computer Science
- NASA Ames Research Center
Authors
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Davide Venturelli
- USRA Research Institute for Advanced Computer Science
- NASA Ames Research Center
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Filip Wudarski
- USRA Research Institute for Advanced Computer Science
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