Hendrik Poulsen Nautrup, PhD

PostDoc

Room: 4S16 ITP
Phone: +43 512 507 52243
Email: Hendrik.Poulsen-Nautrup[at]uibk.ac.at

Research group: Quantum Information and Computation

More Information

  • FLD Research Documentation

    Publications 2024

    Other Publications

    Electronic Publication (Preprint)
    • Smith, I.; Poulsen Nautrup, H.; Briegel, Hans J. (2024): Parity Quantum Computing as YZ-Plane Measurement-Based Quantum Computing. (DOI) (Web link)



    Lectures 2024

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Upon Registration)
    • Lecturer(s): Smith, I. Co-author(s): Krumm, M.; Fiderer, L.J.; Poulsen Nautrup, H; Briegel, H.J.: The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications.
      87. Jahrestagung der DPG und DPG-Frühjahrstagung, Berlin, 2024-03-21. (Web link)



    Publications 2023

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Jerbi, S.; Fiderer, L.; Poulsen Nautrup, H.; Kübler, J.; Briegel, Hans J.; Dunjko, V. (2023): Quantum machine learning beyond kernel methods.
      In: Nature Communications 14, No. 517. (DOI) (Web link)

    • Li, Y.; Sukeno, H.; Parayil Mana, A.; Poulsen Nautrup, H.; Wei, T.-C. (2023): Symmetry-enriched topological order from partially gauging symmetry-protected topologically ordered states assisted by measurements.
      In: Physical Review B (Condensed Matter) 108/11, No. 115144. (DOI) (Web link)

    • Smith, I. D.; Krumm, M.; Fiderer, L. J.; Poulsen Nautrup, H.; Briegel, H. J. (2023): The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications.
      In: Quantum. The Open Journal for Quantum Science 7, Nr. 1206. (DOI) (Web link)

    • Trenkwalder, L.; Lopez-Incera, A.; Poulsen Nautrup, H.; Flamini, F.; Briegel, Hans J. (2023): Automated gadget discovery in the quantum domain.
      In: Machine Learning: Science and Technology 4/3, No. 035043. (DOI) (Web link)

    Other Publications

    Electronic Publication (Preprint)
    • Majumder, A.; Krumm, M.; Radkohl, T.; Poulsen Nautrup, H.; Jerbi, S.; Briegel, Hans J. (2023): Variational measurement-based quantum computation for generative modeling. (Web link)

    • Poulsen Nautrup, H.; Briegel, Hans J. (2023): Measurement-based quantum computation from Clifford quantum cellular automata. (Web link)



    Lectures 2023

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Invited Lecture)
    • Lecturer(s): Poulsen Nautrup, H.: Interpreting reinforcement learning policies.
      Machine Learning and (Quantum) Physics, Obergurgl, 2023-04-10. (Web link)

    Lecture at Project Meeting / Research Cooperation Meeting
    • Lecturer(s): Trenkwalder, L.; Poulsen Nautrup, H.: Learning from reinforcement learning.
      Workshop "Innsbruck-Konstanz meeting on physics and philosophy", Bregenz, 2023-09-18.



    Publications 2022

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Poulsen Nautrup, H.; Metger, T.; Iten, R.; Jerbi, S.; Trenkwalder, L.; Wilming, H.; Briegel, Hans J.; Renner, R. (2022): Operationally meaningful representations of physical systems in neural networks.
      In: Machine Learning: Science and Technology 3/4, Nr. 045025. (DOI) (Web link)



    Lectures 2022

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Upon Registration)
    • Lecturer(s): Smith, I. Co-author(s): Krumm, Marius; Fiderer, Lukas; Nautrup, Hendrik Poulsen; Briegel, Hans: A Quantum Causal Perspective of Measurement-Based Quantum Computation.
      Quantum Physics and Logic 2022, Oxford, 2022-06-30. (Web link)

    Poster Presentation
    • Lecturer(s): Poulsen Nautrup, H.: Bose stimulation for quantum information.
      5th Seefeld Workshop on Quantum Information, Seefeld, 2022-06-28. (Web link)



    Publications 2021

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Erhard, A.; Poulsen Nautrup, H.; Meth, M.; Postler, L.; Stricker, R.; Stadler, M.; Negnevitsky, V.; Ringbauer, M.; Schindler, P.; Briegel, Hans J.; Blatt, R.; Friis, N.; Monz, T. (2021): Entangling logical qubits with lattice surgery.
      In: Nature 589, pp. 220 - 224. (DOI) (Web link)

    • 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. (Full-text) (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)

    Research Data

    • Erhard, Alexander; Poulsen Nautrup, Hendrik; Meth, Michael; Postler, Lukas; Stricker, Roman; Stadler, Martin; Negnevitsky, Vlad; Ringbauer, Martin; Schindler, Philipp; Briegel, Hans J.; Blatt, Rainer; Friis, Nicolai; Monz, Thomas (2020): Entangling logical qubits with lattice surgery (Dataset). Version 1. In: Zenodo. (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)

    • Lecturer(s): Poulsen Nautrup, H.: Operationally meaningful representations of physical systems in neural networks.
      Quantum Techniques in Machine Learning / QTML 2020, Cambridge, Massachusetts, 2020-11-12. (Web link)

    Conference Lecture (Upon Registration)
    • Lecturer(s): Erhard, Alexander; Poulsen Nautrup, Hendrik Co-author(s): Meth, Michael; Postler, Lukas; Stricker, Roman; Stadler, Martin; Negnevitsky, Vlad; Ringbauer, Martin; Schindler, Philipp; Briegel, Hans J.; Blatt, Rainer; Friis, Nicolai; Monz, Thomas: Entangling logical qubits with lattice surgery.
      SFB BeyondC Workshop 2020, Wien, online, 2020-11-04. (Web link)

    Lecture at Summer-/Winterschool
    • Lecturer(s): Poulsen Nautrup, H.: Reinforcement learning applications in quantum physics (Tutorial).
      Machine Learning in Physics - VDSP-ESI Winter School 2020, Wien, 2020-02-17. (Web link)

    Poster Presentation
    • Lecturer(s): Poulsen Nautrup, H.: Fault-tolerant interface between quantum memories and processors.
      International Conference on Quantum Optics 2020, Obergurgl, 2020-02-27. (Web link)



    Publications 2019

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Poulsen Nautrup, H.; Delfosse, N.; Dunjko, V.; Briegel, Hans J.; Friis, N. (2019): Optimizing Quantum Error Correction Codes with Reinforcement Learning.
      In: Quantum. The Open Journal for Quantum Science 3, No. 215. (DOI) (Web link)

    • Raussendorf, Robert; Okay, Cihan; Wang, Dong-Sheng; Stephen, David T.; Poulsen Nautrup, Hendrik (2019): Computationally Universal Phase of Quantum Matter.
      In: Physical Review Letters 122/9, No. 090501. (DOI) (Web link)

    • Stephen, David T.; Poulsen Nautrup, Hendrik; Bermejo-Vega, Juan; Eisert, Jens; Raussendorf, Robert (2019): Subsystem symmetries, quantum cellular automata, and computational phases of quantum matter.
      In: Quantum. The Open Journal for Quantum Science 3, No. 142. (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)

    Conference Lecture (Upon Registration)
    • Lecturer(s): Poulsen Nautrup, H.: Optimizing Quantum Error Correction Codes with Reinforcement Learning.
      Quantum Computing – From Algorithms to Applications (QIP2019), Obergurgl, 2019-04-18. (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): Poulsen Nautrup, H.: Optimizing Quantum Error Correction Codes with Reinforcement Learning.
      SFB-FoQuS International Conference, Innsbruck, 2019-02-05. (Web link)



    Publications 2018

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Melnikov, A. A; Poulsen Nautrup, H.; Krenn, M.; Dunjko, V.; Tiersch, M.; Zeilinger, A.; Briegel, Hans J. (2018): Active learning machine learns to create new quantum experiments.
      In: PNAS. Proceedings of the National Academy of Sciences 115/6, pp. 1221 - 1226. (DOI)



    Publications 2017

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Poulsen Nautrup, H.; Friis, N.; Briegel, Hans J. (2017): Fault-tolerant interface between quantum memories and quantum processors.
      In: Nature Communications 8, No. 1321. (DOI) (Web link)



    Lectures 2017

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Invited Lecture)
    • Lecturer(s): Poulsen Nautrup, H.: Fault-tolerant Interface between quantum memories and processors.
      Second Workshop on: Algebraic Structures in Quantum Computation, Vancouver, 2017-05-24. (Web link)



    Lectures 2016

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Upon Registration)
    • Lecturer(s): Poulsen Nautrup, H. Co-author(s): Wei, T.-C.: Symmetry-protected topologically ordered states for universal quantum computation.
      16th Asian Quantum Information Science Conference (AQIS’16), Taipei, 2016-09-01. (Web link)

    Lecture at Project Meeting / Research Cooperation Meeting
    • Lecturer(s): Poulsen Nautrup, H. Co-author(s): Friis, N.; Briegel, Hans J.: Topological Code Switching in Two Dimensions.
      34. SFB FoQuS Meeting, Innsbruck, 2016-10-06. (Web link)

    Poster Presentation
    • Lecturer(s): Poulsen Nautrup, H. Co-author(s): Wei, T.-C.: Symmetry-protected topologically ordered states for universal quantum computation.
      3rd Seefeld workshop on Quantum Information, Seefeld, 2016-06-30. (Web link)



    Lectures 2015

    Presentations at Conferences, Symposia, etc.

    Poster Presentation
    • Lecturer(s): Poulsen Nautrup, Hendrik: Symmetry-protected topologically ordered states for universal quantum computation.
      31. SFB FOQUS Meeting, Wien, 2015-12-17. (Web link)

    • Lecturer(s): Poulsen Nautrup, Hendrik: Symmetry-protected topologically ordered states for universal quantum computation.
      GDR IQFA 6th Colloquium, Palaiseau, 2015-11-18. (Web link)

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