Lea Trenkwalder,

PhD Student

Room: 4S13 ITP
Phone: +43 512 507 52225
Email: Lea.Trenkwalder[at]uibk.ac.at

Research group: Quantum Information and Computation

More Information

  • FLD Research Documentation

    Publications 2021

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Jerbi, S.; Trenkwalder, Lea; Poulsen Nautrup, H.; Briegel, Hans J.; Dunjko, Vedran (2021): Quantum Enhancements for Deep Reinforcement Learning in Large Spaces.
      In: PRX Quantum 2/1, No. 010328. (DOI) (Web link)

    Other Publications

    Electronic Publication, Scientific
    • Ostaszewski, M.; Trenkwalder, Lea; Masarczyk, W.; Scerri, E.; Dunjko, V. (2021): Reinforcement learning for optimization of variational quantum circuit architectures. (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. (DOI) (Web link)

    Other Publications

    Electronic Publication (Preprint)
    • Poulsen Nautrup, H.; Metger, T.; Iten, R.; Jerbi, S.; Trenkwalder, L.; Wilming, H.; Briegel, Hans J.; Renner, R. (2020): Operationally meaningful representations of physical systems in neural networks. (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)



    Publications 2019

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Boyajian, Walter L.; Clausen, J.; Trenkwalder, L.; Dunjko, V.; Briegel, Hans j. (2019): On the convergence of projective-simulation-based reinforcement learning in Markov decision processes.
      In: Quantum Machine Intelligence 2, No. 13. (DOI) (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)

    • Lecturer(s): Jerbi, S. Co-author(s): Poulsen Nautrup, Hendrik; Trenkwalder, Lea; Briegel, Hans J.; Vedran, Dunjko: A framework for deep energy-based reinforcement learning with quantum speed-up.
      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)

    • Lecturer(s): Jerbi, S. Co-author(s): Poulsen Nautrup, H.; Trenkwalder, L.; Briegel, Hans J.; Dunjko, V.: A framework for deep energy-based reinforcement learning with quantum speed-up.
      Quantum Techniques in Machine Learning (QTML2019), Daejeon, 2019-10-22. (Web link)

    • Lecturer(s): Jerbi, S. Co-author(s): Poulsen Nautrup, H.; Trenkwalder, L.M.; Briegel, Hans J.; Dunjko, V.: A framework for deep energy-based reinforcement learning with quantum speed-up.
      Austrian Quantum Information Conference 2019, Wien, 2019-10-31. (Web link)

    • Lecturer(s): Trenkwalder, L. Co-author(s): Clausen, J.; Boyajian, W.; Dunjko, V.; Briegel, Hans J.: Convergence proof for an agent-based reinforcement learning approach in Markov decision processes.
      1. DPG Herbsttagung 2019 on Quantum Science and Information Technologies, Freiburg, 2019-09-25. (Web link)



    Lectures 2018

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Upon Registration)
    • Lecturer(s): Trenkwalder, Lea: Projective simulation applied to non-Markovian problems.
      82. Jahrestagung der DPG und DPG-Frühjahrstagung, Erlangen, 2018-03-05. (Web link)

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