Dr. Gorka Munoz-Gil

PostDoc

Room: 4S17 ITP
Phone: +43 512 507 52257
Email: Gorka.Munoz-Gil[at]uibk.ac.at

Research group: Quantum Information and Computation

More Information

  • FLD Research Documentation

    Publications 2024

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Caraglio, M.; Kaur, H.; Fiderer, L.; Lopez-Incera, A.; Briegel, H.J.; Franosch, T.; Munoz-Gil, G. (2024): Learning how to find targets in the micro-world: the case of intermittent active Brownian particles.
      In: Soft Matter 20/9, pp. 2008 - 2016. (DOI) (Web link)

    • Munoz Gil, G.; Lopez-Incera, A.; Fiederer, L.; Briegel, Hans J. (2024): Optimal foraging strategies can be learned.
      In: New Journal of Physics 26, No. 013010. (DOI) (Web link)



    Lectures 2024

    Presentations at Conferences, Symposia, etc.

    Poster Presentation
    • Lecturer(s): Munoz Gil, G.: Quantum diffusion models for quantum circuit synthesis.
      Quantum Optics Obergurgl 2024, Obergurgl, 2024-03-01. (Web link)



    Publications 2023

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Requena, B.; Masó-Orriols, S.; Bertran, J.; Lewenstein, M.; Manzo, C.; Munoz Gil, G. (2023): Inferring pointwise diffusion properties of single trajectories with deep learning.
      In: Biophysical Journal 122/22, pp. 4360 - 4369. (DOI) (Web link)

    • Requena, B.; Munoz-Gil, G.; Lewenstein, M.; Dunjko, V.; Tura, J. (2023): Certificates of quantum many-body properties assisted by machine learning.
      In: Physical Review Research 5/1, No. 013097. (DOI) (Web link)

    Journal Article (Editorial)
    • Manzo, C.; Munoz-Gil, G.; Volpe, G.; Garcia-March, M. A.; Lewenstein, M.; Metzler, R. (2023): Preface: characterisation of physical processes from anomalous diffusion data.
      In: Journal of Physics A-Mathematical and Theoretical 56/1, No. 010401. (DOI) (Web link)

    Other Publications

    Electronic Publication (Preprint)
    • Fernández-Fernández, G.; Manzo, C.; Lewenstein, M.; Dauphin, A.; Munoz Gil, G. (2023): Learning minimal representations of stochastic processes with variational autoencoders. (Web link)

    • Fürrutter, F.; Munoz-Gil, G.; Briegel, Hans J. (2023): Inferring pointwise diffusion properties of single trajectories with deep learning. (Web link)

    • Grzybowski, P. R.; Jankiewicz, A.; Piñol, E.; Cirauqui, D.; Grzybowska, D.H.; Petrykowski, P. M.; García-March, M. A.; Lewenstein, M.; Munoz-Gil, G.; Pozas-Kerstjens, A. (2023): Universal representation by Boltzmann machines with Regularised Axons. (Web link)

    • Munoz-Gil, G.; Bachimanchi, H.; Pineda, J.; Midtvedt, B.; Lewenstein, M.; Metzler, R.; Krapf, D.; Volpe, G.; Manzo, C. (2023): Quantitative evaluation of methods to analyze motion changes in single-particle experiments. (Web link)



    Lectures 2023

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Invited Lecture)
    • Lecturer(s): Munoz-Gil, Gorka: ML, randomness and Phyiscs.
      Machine Learning and (Quantum) Physics, Obergurgl, 2023-04-09. (Web link)

    Lecture at Summer-/Winterschool
    • Lecturer(s): Munoz Gil, G.: Optimal foraging strategies can be learned and outperform Lévy walks.
      Summer School on Mathematics of Movement, Cambridge, 2023-07-18. (Web link)

    Poster Presentation
    • Lecturer(s): Fürrutter, F. Co-author(s): Munoz-Gil, G.; Briegel, Hans J.: Multi-task generative diffusion models in quantum information.
      SFB BeyondC Autumn Workshop 2023, Innsbruck, 2023-09-11. (Web link)



    Publications 2022

    Contributions to Books / Journals

    Journal Article (Original Paper)
    • Gorka Munoz Gil, G.; Dauphin, A.; Federica A. Beduini, F. A.; Sánchez de Miguel, A. (2022): Citizen Science to Assess Light Pollution with Mobile Phones.
      In: Remote Sensing 14/19, Nr. 4976. (DOI) (Web link)

    • Munoz Gil, G.; Romero-Aristizabal, C.; Mateos, N.; Campelo, F.; I. de Llobet Cucalon, L.; Beato, M.; Lewenstein, M.; Maria F. Garcia-Parajo, M. F.; Torreno-Pina, J. A. (2022): Stochastic particle unbinding modulates growth dynamics and size of transcription factor condensates in living cells.
      In: PNAS. Proceedings of the National Academy of Sciences 119/31, Nr. e2200667119. (DOI) (Web link)

    Other Publications

    Electronic Publication (Preprint)
    • Cirauqui, D.; García-March, M. A.; Corominas, G. G.; Graß, T.; Grzybowski, P. R.; Munoz Gil, G.; Saavedra, J. R. M.; Lewenstein, M. (2022): Quantum Random Number Generators : Benchmarking and Challenges. (Web link)

    • Dawid, A.; Arnold, J.; Requena, B.; ..., ...; Munoz Gil, G.; ..., ...; Dauphin, A (2022): Modern applications of machine learning in quantum sciences. (Web link)



    Lectures 2022

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Invited Lecture)
    • Lecturer(s): Munoz Gil, G.: Machine learning approaches to anomalous diffusion.
      Physics in Biology and Medicine 2022, Maó, 2022-10-21. (Web link)

    • Lecturer(s): Munoz-Gil, G.: Creating community driven challenges to advance Science.
      Machine Learning in Natural Sciences: from Quantum Physics to Nanoscience and Structural Biology, Hamburg, 2022-09-19. (Web link)

    • Lecturer(s): Munoz-Gil, G.: Learning physics and optimal strategies with artificial agents.
      Venice meeting on Fluctuations in small complex systems VI, Venedig, 2022-09-05. (Web link)

    Poster Presentation
    • Lecturer(s): Munoz Gil, G.: Certificates of quantum many body properties assisted by machine learning.
      5th Seefeld Workshop on Quantum Information, Seefeld, 2022-06-28. (Web link)

    • Lecturer(s): Munoz-Gil, G.: Understanding optimal strategies in real-world scenarios via reinforcement learning.
      Measurement-Based Quantum Computation, Learning and Agency (MBQC 2022), Obergurgl, 2022-09-01. (Web link)



    Lectures 2021

    Presentations at Conferences, Symposia, etc.

    Conference Lecture (Invited Lecture)
    • Lecturer(s): Munoz Gil, G.: Machine learning approaches to anomalous diffusion data.
      Venice meeting on Fluctuations in small complex systems V, Venedig, 2021-10-04. (Web link)

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