Arne Hamann, MSc BSc

PhD Student

Room: 2S15 ITP
Phone: +43 512 507 52246
Email: Arne.Hamann[at]uibk.ac.at

Research group: Quantum Information and Computation

More Information

  • FLD Research Documentation

    Publications 2023

    Other Publications

    Electronic Publication (Preprint)
    • Hamann, A.; Sekatski, P.; Dür, W. (2023): Optimal distributed multiparameter estimation in noisy environments. (Web link)



    Lectures 2023

    Presentations at Conferences, Symposia, etc.

    Poster Presentation
    • Lecturer(s): Hamann, A.: NOISE CANCELING IN QUANTUM SENSOR NETWORKS.
      SFB BeyondC Autumn Workshop 2023, Innsbruck, 2023-09-12. (Web link)



    Publications 2022

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Hamann, A.; Sekatski, P.; Dür, Wolfgang (2022): Approximate decoherence free subspaces for distributed sensing.
      In: Quantum Science and Technology 7/2, No. 025003. (DOI) (Web link)

    • Hamann, A.; Wölk, S. (2022): Performance analysis of a hybrid agent for quantum-accessible reinforcement learning.
      In: New Journal of Physics 24/3, No. 033044. (DOI) (Web link)



    Lectures 2022

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Invited Lecture)
    • Lecturer(s): Hamann, A.: Noise cancelling in quantum sensor networks.
      Workshop on Secure Networks of Quantum Sensors, Paris, 2022-10-21. (Web link)

    Poster Presentation
    • Lecturer(s): Hamann, A.: Noise canceling in quantum sensor networks.
      Measurement-Based Quantum Computation, Learning and Agency (MBQC 2022), Obergurgl, 2022-09-01. (Web link)

    • Lecturer(s): Hamann, A.: Noise canceling in quantum sensor networks.
      5th Seefeld Workshop on Quantum Information, Seefeld, 2022-06-28. (Web link)



    Publications 2021

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Hamann, A.; Djunko, V.; Wölk, S. (2021): Quantum-accessible reinforcement learning beyond strictly epochal environments.
      In: Quantum Machine Intelligence 3, No. 22. (DOI) (Web link)

    • Saggio, V.; Asenbeck, B. E.; Hamann, A.; Strömberg, T.; Schiansky, P.; Dunjko, V.; Friis, N.; Harrys, N. C.; Hochberg, M.; Englund, D.; Wölk, S.; Briegel, Hans J.; Walther, P. (2021): Experimental quantum speed-up in reinforcement learning agents.
      In: Nature 591, pp. 229 - 233. (DOI) (Web link)



    Publications 2020

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Flamini, Fulvio; Hamann, Arne; Jerbi, S.; Trenkwalder, Lea; Poulsen Nautrup, H.; Briegel, Hans J. (2020): Photonic architecture for reinforcement learning.
      In: New Journal of Physics 22, No. 045002. (Full-text) (DOI) (Web link)



    Lectures 2020

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Invited Lecture)
    • Lecturer(s): Flamini, Fulvio Co-author(s): Hamann, A.; Jerbi, S.; Trenkwalder, L.; Poulsen Nautrup, H.; Briegel, Hans J.: Photonic architecture for reinforcement learning.
      22nd Photonics North Conference, Québec, 2020-05-26. (Web link)



    Lectures 2019

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Invited Lecture)
    • Lecturer(s): Flamini, Fulvio Co-author(s): Hamann, A.; Jerbi, S.; Trenkwalder, L.; Poulsen Nautrup, H.; Briegel, Hans J.: Photonic architecture for reinforcement learning.
      1. DPG Herbsttagung 2019 on Quantum Science and Information Technologies, Freiburg, 2019-09-23. (Web link)

    Poster Presentation
    • Lecturer(s): Flamini, Fulvio Co-author(s): Hamann, A.; Jerbi, S.; Trenkwalder, L. M.; Poulsen Nautrup, H; Briegel, Hans J.: Photonic architecture for reinforcement learning.
      Austrian Quantum Information Conference 2019, Wien, 2019-10-31. (Web link)

    • Lecturer(s): Flamini, Fulvio Co-author(s): Hamann, A.; Jerbi, S.; Trenkwalder, L.; Poulsen Nautrup, H.; Briegel, Hans J.: Photonic architecture for reinforcement learning.
      Vienna Graduate Conference on Complex Quantum Systems, Wien, 2019-10-28. (Web link)

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