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Variational Monte Carlo with neural network quantum states for a Yang-Mills matrix model

Norbert Bodendorfer1, Onur Oktay2, Vaibhav Gautam3, Masanori Hanada3, and Enrico Rinaldi4,5,6

  • 1University of Regensburg, Institute of Theoretical Physics Universitätsstrasse 31, D-93053 Regensburg, Germany
  • 2Department of Physics, Karamanoglu Mehmetbey University, 70100 Karaman, Turkey
  • 3School of Mathematical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, United Kingdom
  • 4Quantinuum K.K., Otemachi Financial City Grand Cube 3F 1-9-2 Otemachi, Chiyoda-ku, Tokyo, Japan
  • 5Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) Program RIKEN, Wako, Saitama 351-0198, Japan
  • 6Center for Quantum Computing (RQC), RIKEN, Wako, Saitama 351-0198, Japan

Implicitly Restarted Lanczos Enables Chemically Accurate Shallow Neural Quantum States

Wei Liu and Wenjie Dou

Precision Chemistry 4 1395 (2026)

Variational neural network approach to QFT in the field basis

K. Braga, N. Sato, and A.P. Szczepaniak

Physics Letters B 873 140183 (2026)

High-Precision Bootstrap of Multimatrix Quantum Mechanics

Henry W. Lin and Zechuan Zheng

Phys. Rev. Lett. 136 181603 (2026)

Efficient simulation of the 2D Hubbard model via Hilbert space-filling curve mapping

Ashkan Abedi, Vittorio Giovannetti, and Dario De Santis

New J. Phys. 28 044510 (2026)

Localized states of BFSS super quantum mechanics

Óscar J. C. Dias and Jorge E. Santos

J. High Energ. Phys. 2026 197 (2026)

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