ML4QM

We are organizing a two-week workshop on Machine Learning for Quantum Matter (ML4QM) hosted at NISER, Bhubaneswar. The dates are Dec 7 - Dec 18, 2026. The workshop will include ~1 week of lectures and ~1 week of research discussions. We will use the weekend of Dec 12-13 for local tours around Odisha.

Brief description of the program

The unprecedented progress in classical machine learning over the last two decades has pushed the boundaries of computational physics and physical sciences in general. One expects that, perhaps one day, quantum machine learning will be able to offer similar insights. One of the most promising applications of these techniques will be to further our understanding of the “quantum many-body problem”. From understanding the phase diagram of strongly correlated materials, to thermalization in closed quantum systems, one expects breakthroughs in every aspect of quantum many-body physics. The goal of this program is to bring together experts in classical and quantum machine learning, especially those with a focus on quantum many-body physics. This includes, but is not limited to, folks working on quantum learning theory, classical machine learning, tensor networks, classical simulations of quantum many-body systems, quantum diffusion models, quantum algorithms, and information scrambling, to name a few.

List of speakers (to be updated)

  1. Ignacio Cirac (MPQ) [confirmed] [keynote speaker]
  2. Umesh Vazirani (UC Berkeley) [tentative] [keynote speaker]
  3. Eddie Farhi (MIT, Google) [confirmed] [keynote speaker]
  4. Alán Aspuru-Guzik (Vector Institute for AI) [tentative] [keynote speaker]
  5. Soonwon Choi (MIT) [confirmed] [keynote speaker]
  6. Masoud Mohseni (HPE) [confirmed] [keynote speaker]
  7. Prabha Mandayam (IITM) [confirmed] [talk]
  8. Maria Schuld (Xanadu) [confirmed] [talk]
  9. Praneeth Netrapalli (Google Deepmind) [confirmed] [talk]
  10. Susanne Yelin (Harvard) [confirmed] [talk]
  11. Shantanav Chakraborty (IIITH) [confirmed] [talk]
  12. Franco Nori (RIKEN) [confirmed] [lecture]
  13. Elica Kyoseva (NVIDIA) [confirmed] [talk]
  14. Yi-Zhuang You (UCSD) [confirmed] [lecture]
  15. Daniel Lidar (USC) [tentative] [talk]
  16. Lukasz Cincio (LANL) [confirmed] [talk]
  17. Arul Lakshminarayan (IITM) [confirmed] [talk]
  18. Paolo Zanardi (USC) [confirmed] [lecture]
  19. Sai Vinjanampathy (IITB) [confirmed] [talk]
  20. James Whitfield (Dartmouth/Amazon) [tentative] [lecture]
  21. Rosa Di Felice (USC) [confirmed] [talk]
  22. G J Sreejith (IISER Pune) [confirmed] [talk]
  23. Adolfo Del Campo (Luxembourg & DIPC) [confirmed] [lectures]
  24. Eric R. Anschuetz (Caltech) [confirmed] [talk]
  25. Zoe Holmes (EPFL) [tentative] [talk]
  26. Kavan Modi (Singapore) [confirmed] [talk]
  27. Ryan LaRose (MSU) [confirmed] [talk]
  28. Christa Zoufal (IBM Zurich) [tentative] [talk]
  29. Kunal Sharma (IBM) [confirmed] [lecture]
  30. Georgios Styliaris (MPQ) [confirmed] [lecture]
  31. Antonio Anna Mele (FU Berlin) [confirmed] [lecture]
  32. Eliska Greplova (Delft) [confirmed] [talk]
  33. Prasenjit Sen (HRI) [confirmed] [talk]
  34. Bibek Pokharel (IBM) [confirmed] [talk]
  35. M. S. Santhanam (IISER Pune) [confirmed] [talk]
  36. Prashanth L.A. (IITM) [confirmed] [lecture]
  37. Cristina Cirstoiu (Quantinuum) [confirmed] [talk]
  38. Robin Kothari (Google) [tentative] [talk]
  39. Sibasish Ghosh (IMSc) [tentative] [talk]
  40. Vikram Tripathi (TIFR) [tentative] [talk]

List of organizers

  1. Tapan Mishra (NISER)
  2. Arijit Saha (IOP)
  3. Poonam Mehta (JNU)
  4. T S Mahesh (IISER Pune)
  5. Barry Sanders (University of Calgary)
  6. Ryan LaRose (Michigan State University)
  7. Sourin Das (IISER Kolkata)
  8. Namit Anand (HPE Labs)