Scientific Calendar Event



Description
An ICTP - WE Heraeus Meeting

The intersection of machine learning and quantum simulation is emerging as a fruitful research area. This combined school and workshop will bring together leading experts as well as interested students to foster exchange between communities and explore synergies between the fields.
 
In the past two decades, major advancements in machine learning (ML) and quantum simulation have been achieved. ML algorithms define the state of the art in natural language processing and image recognition; quantum simulation is opening up new avenues to investigate correlated matter. Both fields are becoming increasingly intertwined in recent attempts to provide insights in quantum many-body physics. An objective of developing machine learning-enhanced numerical methods and quantum simulation is to push our capabilities to study exotic phases or non-equilibrium states. Furthermore, while quantum simulators emerge as a new tool to address these outstanding research topics, their advent raises further questions that ML approaches can potentially solve.
 
This event aims to discuss, where quantum challenges match the natural strengths of ML and, reversely, the quantum applications call for developing new ML techniques.
 
The event will revolve around the four core topics:
1. Quantum simulation of many-body systems
2. Data-driven characterization of quantum systems
3. Quantum state representation with machine learning models
4. Protocol optimization for quantum control

School Speakers:
Francesca FERLAINO, University of Innsbruck and IQOQI
Eliska GREPLOVA, Delft University of Technology
Florian MARQUARDT, Max Planck for the Science of Light
Edwin Miles STOUDENMIRE, Flatiron Institute
Filippo VICENTINI, Ecole Polytechnique

Conference Speakers:
Federico BECCA, University of Trieste
Marin BUKOV, MPI PKS
Ao CHEN, University of Augsburg
Alexandre DAUPHIN, Pasqal
Anna DAWID, Flatiron Institute
Vedran DUNJKO, Leiden University
Kaden HAZZARD, University of Rice
Johannes KOFLER, Johannes Kepler University Linz
Richard KUENG, Johannes Kepler University Linz
Zala LENARCIC, Jozef Stefan Institute
Julian LEONARD, TU Wien
Ludwig MATHEY, University of Hamburg
Friederike METZ, EPFL
Evert van NIEUWENBURG, Leiden University
Yusuke NOMURA, Tohoku University
Thereza PAIVA, Federal University of Rio de Janeiro
Max PRÜFER, TU Wien
Markus OBERTHALER, Heidelberg University
Anna SANPERA, Universitat Autònoma de Barcelona
Agnes VALENTI, ETH Zurich
Roberto VERDEL, ICTP
Benoit VERMERSCH, University of Grenoble-Alpes
Johannes ZEIHER, Max Planck Institute of Quantum Optics
Pan ZHANG, Chinese Academy of Sciences
 

Research abstract: Applicants are invited to submit a research abstract for a poster presentation and/or contributed talk. Please use the ICTP templates that are available below for download.


Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.
 
Go to day
  • Monday, 8 April 2024
    • 08:00 - 08:40 Registration
      REGISTRATION: Upon arrival, Visitors not staying in the ICTP Guest Houses, are kindly requested to complete registration formalities at the Leonardo building (Lobby). The Registration Desk will be open from 8.00 to 8.40.
    • 08:40 - 14:15
      • 08:40 Opening 20'
        Speaker: Mr. Stefan JORDA (Director of Heraeus foundation)
      • 09:00 Opening remarks 5'
        Speaker: Ralph GEBAUER (ICTP, Italy)
      • 09:05 Machine learning for quantum applications 1h30'
        Speaker: Eliska GREPLOVA (Delft University of Technology)
        Material: Video
      • 10:35 Coffee Break 40'
      • 11:15 Machine learning for quantum applications 1h30'
        Speaker: Eliska GREPLOVA (Delft University of Technology)
        Material: Video
      • 12:45 Lunch 1h30'
    • 19:00 - 20:00 Welcome Reception
  • Tuesday, 9 April 2024
    • 09:00 - 16:30
      • 09:00 Quantum simulations 1h30'
        Speaker: Francesca FERLAINO (University of Innsbruck and IQOQI)
        Material: Video
      • 10:30 Coffee Break 45'
      • 11:15 Quantum simulations 1h30'
        Speaker: Francesca FERLAINO (University of Innsbruck and IQOQI)
        Material: Video
      • 12:45 Lunch 1h30'
      • 14:15 Machine learning for quantum applications 1h30'
        Speaker: Eliska GREPLOVA (Delft University of Technology)
        Material: Video
      • 15:45 Coffee Break 45'
  • Wednesday, 10 April 2024
    • 09:00 - 16:30
      • 09:00 Simulation of quantum many-body systems with neural quantum states 1h30'
        Speaker: Filippo VICENTINI (Ecole Polytechnique)
        Material: Video
      • 10:30 Coffee Break 45'
      • 11:15 Simulation of quantum many-body systems with neural quantum states 1h30'
        Speaker: Filippo VICENTINI (Ecole Polytechnique)
        Material: Video
      • 12:45 Lunch 1h30'
      • 14:15 Tensor network for machine learning applications 1h30'
        Speaker: Edwin Miles STOUDENMIRE (Flatiron Institute)
        Material: Video
      • 15:45 Coffee Break 45'
  • Thursday, 11 April 2024
    • 09:00 - 16:30
      • 09:00 Tensor network for machine learning applications 1h30'
        Speaker: Edwin Miles STOUDENMIRE (Flatiron Institute)
        Material: Video
      • 10:30 Coffee Break 45'
      • 11:15 Tensor network for machine learning applications 1h30'
        Speaker: Edwin Miles STOUDENMIRE (Flatiron Institute)
        Material: Video
      • 12:45 Lunch 1h30'
      • 14:15 Introduction to reinforcement learning in quantum physics 1h30'
        Speaker: Florian MARQUARDT (Max Planck for the Science of Light)
        Material: Video
      • 15:45 Coffee Break 45'
  • Friday, 12 April 2024
    • 09:00 - 16:30
      • 09:00 Introduction to reinforcement learning in quantum physics 1h30'
        Speaker: Florian MARQUARDT (Max Planck for the Science of Light)
        Material: Video
      • 10:30 Coffee Break 45'
      • 11:15 Introduction to reinforcement learning in quantum physics 1h30'
        Speaker: Florian MARQUARDT (Max Planck for the Science of Light)
        Material: Video
      • 12:45 Lunch 1h30'
      • 14:15 Simulation of quantum many-body systems with neural quantum states 1h30'
        Speaker: Filippo VICENTINI (Ecole Polytechnique)
        Material: Video
      • 15:45 Coffee Break 45'
  • Monday, 15 April 2024
    • 09:00 - 16:45
      • 09:00 Opening remarks 10'
      • 09:10 Quantum many-body simulations using artificial neural networks 45'
        Speaker: Yusuke NOMURA (Tohoku University)
        Material: Video
      • 09:55 Coffee Break 1h0'
      • 10:55 Investigating the optimization landscape of neural-network quantum states 45'
        Speaker: Agnes VALENTI (ETH Zurich)
        Material: Video
      • 11:40 Fine Tuning Neural Network Quantum States 30'
        Contributed talk
        Speaker: Luciano VITERITTI (University of Trieste)
        Material: Video
      • 12:10 Is the ground state of Anderson's impurity model a recurrent neural network? 30'
        Contributed talk
        Speaker: Jonas RIGO (Forschungszentrum Jülich, Germany)
        Material: Video
      • 12:45 Lunch 1h15'
      • 14:00 Reconstructing complexity and effective Hamiltonians 45'
        Speaker: Zala LENARCIC (Jozef Stefan Institute)
        Material: Video
      • 14:45 Data-driven extraction of relevant information in quantum many-body systems 45'
        Speaker: Roberto VERDEL (ICTP)
        Material: Video
      • 15:30 Coffee Break 30'
      • 16:00 Discussion 45'
  • Tuesday, 16 April 2024
    • 09:15 - 18:30
      • 09:15 Simplifying the simulation of local Hamiltonian dynamics 45'
        Speaker: Anna SANPERA (Universitat Autònoma de Barcelona)
        Material: Video
      • 10:00 Coffee Break 1h0'
      • 11:00 Frontiers of quantum simulations with optical lattices 45'
        Speaker: Julian LEONARD (TU Wien)
        Material: Video
      • 11:45 Amorphous quantum magnets in a two-dimensional Rydberg atom array 45'
        Speaker: Alexandre DAUPHIN (Pasqal)
        Material: Video
      • 12:30 Lunch 1h30'
      • 14:00 Reinforcement Learning to Disentangle Quantum States from Partial Observations 45'
        Speaker: Marin BUKOV (MPI PKS)
        Material: Video
      • 14:45 Understanding Quantum Spin Liquids on the Triangular Lattice withSymmetry Breaking and Machine Learning 30'
        Contributed talk
        Speaker: Christopher ROTH (Flatiron Institute)
        Material: Video
      • 15:15 Domain wall dynamics of a two dimensional quantum Ising model using tree tensor networks 30'
        Contributed talk
        Speaker: Wladislaw KRINITSIN (Forschungszentrum Jülich, PGI-8 Quantum Control)
        Material: Video
      • 15:45 Coffee Break 45'
      • 16:30 Poster session 2h0'
        Material: Booklet
  • Wednesday, 17 April 2024
    • 09:00 - 16:45
      • 09:00 Deep Learning for Quantum Physics and Astronomy 45'
        Speaker: Johannes KOFLER (Johannes Kepler University Linz)
        Material: Video
      • 09:45 Coffee Break 1h0'
      • 10:45 Representation learning for quantum systems 45'
        Speaker: Evert van NIEUWENBURG (Leiden University)
        Material: Video
      • 11:30 Classical machine learning for quantum simulations: detection of phases, order parameters, and Hamiltonians 45'
        Speaker: Anna DAWID (Flatiron Institute)
        Material: Video
      • 12:15 Neural network approach to quasiparticle dispersions in doped antiferromagnets 30'
        Contributed talk
        Speaker: Hannah LANGE (Ludwig Maximilian University Munich, Germany)
        Material: Video
      • 12:45 Lunch 1h0'
      • 13:45 Optimal control and implementation of quantum algorithms 45'
        Speaker: Ludwig MATHEY (University of Hamburg)
        Material: Video
      • 14:30 Reinforcement Learning in Online Bayesian Estimation for Noise-Driven Coherent Rotation of a Spin Qubit 30'
        Contributed talk
        Speaker: Jan Adrian KRZYWDA (University of Leiden)
        Material: Video
      • 15:00 Coffee Break 1h0'
      • 16:00 Learning quantum systems: from physics-inspired models to Hamiltonian learning 45'
        Speaker: Max PRÜFER (TU Wien)
        Material: Video
  • Thursday, 18 April 2024
    • 09:30 - 16:30
      • 09:30 Provable quantum earning advantages for physics data 45'
        Speaker: Vedran DUNJKO (Leiden University)
        Material: Video
      • 10:15 Coffee Break 1h0'
      • 11:15 Many-body entropies and entanglement from polynomially-many local measurements 45'
        Speaker: Benoit VERMERSCH (University of Grenoble-Alpes)
        Material: Video
      • 12:00 Work statistics and Entanglement across the fermionic superfluid-insulator transition 30'
        Contributed talk
        Speaker: Vivian FRANCA (São Paulo State University)
        Material: Video
      • 12:45 Lunch 1h15'
      • 14:00 Transformer wave functions for quantum spin models 45'
        Speaker: Federico BECCA (University of Trieste)
        Material: Video
      • 14:45 Ab-initio variational wave functions for the time-(in)dependent many-electron Schrödinger equation 30'
        Contributed talk
        Speaker: Jannes NYS (EPFL)
        Material: Video
      • 15:15 Coffee Break 30'
      • 15:45 Empowering deep neural quantum states through efficient optimization 45'
        Speaker: Ao CHEN (University of Augsburg)
        Material: Video
  • Friday, 19 April 2024
    • 09:00 - 12:45
      • 09:00 Quantum gas microscopy of Hubbard systems out of equilibrium 45'
        Speaker: Johannes ZEIHER (Max Planck Institute of Quantum Optics)
        Material: Video
      • 09:45 Coffee Break 1h0'
      • 10:45 Programmable Ultracold Quantum Matter 45'
        Speaker: Kaden HAZZARD (University of Rice)
        Material: Video
      • 11:30 Thermopower properties of strongly correlated systems 45'
        Online
        Speaker: Thereza PAIVA (Federal University of Rio de Janeiro)
        Material: Video
      • 12:15 Closing remarks 30'