Controlling Quantum Experiments with Reinforcement Learning

Project Information

ConQuER

Grant agreement ID: 895439

DOI

10.3030/895439

Project terminated on 30 April 2022

EC signature date 24 February 2020

Start date 1 October 2020

End date 30 September 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 219 312,00

EU contribution

€ 219 312,00

Coordinated by

KOBENHAVNS UNIVERSITET
Denmark

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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

Peer reviewed articles (3)

A NEAT quantum error decoder

Author(s): Hugo Théveniaut, Evert van Nieuwenburg
Published in: SciPost Physics, Issue 11, 005 (2021), 2021, ISSN 2542-4653
Publisher: Stichting SciPost
DOI: 10.21468/scipostphys.11.1.005

A supervised learning algorithm for interacting topologicalinsulators based on local curvature

Author(s): Paolo Molignini, Antonio Zegarra, Evert van Nieuwenburg, R. Chitra and Wei Chen
Published in: SciPost Physics, Issue 11, 073, 2021, ISSN 2542-4653
Publisher: SciPost
DOI: 10.21468/scipostphys.11.3.073

Learning algorithm reflecting universal scaling behavior near phase transitions

Author(s): N. Maskara, M. Buchhold, M. Endres, and E. van Nieuwenburg
Published in: Physical Review Research, Issue L022032, 2022, ISSN 2643-1564
Publisher: American Physical Society
DOI: 10.1103/physrevresearch.4.l022032