Machine Learning for Quantum Many-body Physics

International Workshop
25 - 29 June 2018

The workshop covers the emerging research area that applies machine learning techniques to analyze, represent, and solve quantum many-body systems in condensed matter physics. This includes problems of phase classification and characterization, state compression, feature extraction, wavefunction representation using neural networks, and connections between tensor networks and  machine learning.

Topics include

  • Supervised phase classification
  • Unsupervised learning of quantum phases
  • Restricted Boltzmann machines for representing wavefunctions
  • Solving quantum many-body problems
  • Connections between the renormalization group and deep learning
  • Machine learning and density functional theory
  • Material discovery using machine learning
  • Quantum neural networks
  • Quantum error correction and decoding with neural networks
  • Quantum state tomography with machine learning

Invited speakers

Erez Berg (US)
Kieron Burke (US)
Giuseppe Carleo (CH)
Juan Carrasquilla (CA)
Ignacio Cirac (DE)
Dong-Ling Deng (US)
Claudia Draxl (DE)
Jens Eisert (DE)
Luca Ghiringhelli (DE)
David Gross (DE)
Masatoshi Imada (JP)
Eun-Ah Kim (US)
Maciej Koch-Janusz (CH)
Nicolas Regnault (FR)
Matthias Rupp (DE)
Maria Schuld (ZA)
Miles Stoudenmire (US)
Giacomo Torlai (CA)
Jordi Tura i Brugués (DE)
Evert van Nieuwenburg (US)
Frank Verstraete (BE)
Lei Wang (CN)
Yi Zhang (US)


Scientific Coordinators

Roger Melko
(University of Waterloo, Canada)

Titus Neupert
(University of Zurich, Switzerland)

Simon Trebst
(University of Cologne, Germany)

Organisation

Mandy Lochar
(Max Planck Institute for the Physics of Complex Systems, Dresden, Germany)

Application

Applications are welcome and should be made by using the application form.

Applications received before 15 March 2018 are considered preferentially.

The number of attendees is limited. The registration fee for the international workshop is 120 Euro and should be paid by all participants. Costs for accommodation and meals will be covered by the Max Planck Institute. Limited funding is available to partially cover travel expenses.

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Scientific Program

The scientific program of the workshop will be available in May 2018, approximately.

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How to reach us

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Useful information for your way to the venue.

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