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Phase Transitions of Quantum Control

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits (opens in new window)

Author(s): Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying
Published in: 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2203.16707

Verification of the Quantum Jarzynski Equality on Digital Quantum Computers (opens in new window)

Author(s): Dominik Hahn, Maxime Dupont, Markus Schmitt, David J. Luitz, Marin Bukov
Published in: 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2207.14313

Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks (opens in new window)

Author(s): Friederike Metz, Marin Bukov
Published in: 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2201.11790

Observation of a long-lived prethermal discrete time crystal created by two-frequency driving (opens in new window)

Author(s): William Beatrez, Christoph Fleckenstein, Arjun Pillai, Erica Sanchez, Amala Akkiraju, Jesus Alcala, Sophie Conti, Paul Reshetikhin, Emanuel Druga, Marin Bukov, Ashok Ajoy
Published in: 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2201.02162

Continuously tracked, stable, large excursion trajectories of dipolar coupled nuclear spins (opens in new window)

Author(s): Ozgur Sahin, Hawraa Al Asadi, Paul Schindler, Arjun Pillai, Erica Sanchez, Matthew Markham, Mark Elo, Maxwell McAllister, Emanuel Druga, Christoph Fleckenstein, Marin Bukov, Ashok Ajoy
Published in: 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2206.14945

Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks

Author(s): Yao, Jiahao; Köttering, Paul; Gundlach, Hans; Lin, Lin; Bukov, Marin
Published in: Proceedings of Machine Learning Research, Issue 1, 2021
Publisher: Annual Conference on Mathematical and Scientific Machine Learning

Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape (opens in new window)

Author(s): Marin Bukov, Markus Schmitt, Maxime Dupont
Published in: SciPost Physics, Issue 10/6, 2021, ISSN 2542-4653
Publisher: SciPost
DOI: 10.21468/scipostphys.10.6.147

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