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Abstract Withdrawn
ORAL Withdrawn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