Quantum Many-Body Physics

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Overview

The field investigates how interactions among many electrons, spins, and atoms give rise to properties such as magnetism, superconductivity, entanglement, and phase transitions. Researchers use methods including density-matrix renormalization, quantum Monte Carlo, tensor networks, and neural quantum states, alongside measurements and reduced-density-matrix learning. Common testbeds include Ising and Heisenberg spin models, Hubbard systems, and correlated materials, where methods are compared on energies, correlations, phase boundaries, and dynamics. A central challenge is making calculations scale while keeping them reliable: sign problems, sampling and optimization failures, and limited ways to certify predictions can undermine otherwise expressive models.

Latest papers

CardsList

55 papers8 papers in the last four weeks, up 14% on the four weeks before. 0.0% of all new papers.

  1. Graph-Recurrent Learning of Emergent Collective Dynamics

    Oct 22, 2026Ali Rayat, Acacia Lee, Gia-Wei ChernRecurrent GNNsGraph Neural Networks

    Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA

  2. Non-Abelian quantum Hall states at strong Landau level mixing: finding anyons with first-principles AI

    Oct 13, 2026Pierre-Antoine Graham, Ahmed Abouelkomsan, Liang FuQuantum Many-Body Physics

    Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA

  3. Honeycomb Crystal in a Mass-Asymmetric Electron-Hole Bilayer

    Oct 12, 2026Shengdu Chai, Wangqian Miao, Yuqiang Li +3Quantum Many-Body PhysicsPhase Transitions

    Interdisciplinary Center for Theoretical Physics and Information Sciences (ICTPIS), Fudan University, Shanghai 200433, China · Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China · Department of Physics, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China +3

  4. The surprising simplicity of forecasting quantum chaotic many-body dynamics

    Oct 7, 2026Francesco Perciavalle, Agostino Gallo, Francesco Plastina +3Chaotic Time-Series PredictionTime Series Forecasting

    Dipartimento di Fisica, Universit`a della Calabria, Rende 87036, Italy. · INFN, Sezione LNF, gruppo collegato di Cosenza. · Department of Mathematics and Computer Science, University of Calabria, Rende 87036, Italy.

  5. Fast holographic inversion of superconducting domes

    Oct 7, 2026Sejin KimInverse ProblemsQuantum Many-Body Physics

    Center for AI and Natural Sciences, Korea Institute for Advanced Study, Seoul 02455, Korea

  6. Out-of-control Hamiltonian Learning

    Oct 5, 2026Weiyuan Gong, Muzhou Ma, Sitan Chen +2Quantum Many-Body PhysicsHamiltonian Dynamics

    Harvard University. · Caltech. · Oratomic.

  7. Generalization of Transformer-Based Neural Quantum States via In-Context Learning

    Oct 2, 2026Zhen Qin, Qing Qu, Alfred O. HeroNeural Quantum StatesNeural Network Generalization

    Michigan Institute for Computational Discovery and Engineering, Department of Electrical Engineering and Computer Science and Department of Statistics, University of Michigan, Ann Arbor, MI 48109 USA · Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109 USA

  8. The AI Theorist reveals excitonic structure in αα-RuCl3_3

    Oct 1, 2026Hongjian Zhou, Xianfan Nie, Sean Wu +5Autonomous Scientific DiscoveryAI Agents for Scientific Discovery

    University of Oxford, Oxford, United Kingdom · University of Waterloo, Waterloo, Canada · Stanford University, Stanford, USA +1

  9. Terminal-Register Certification for Finite-Measurement Learning of Multiscale Quantum States

    Sep 27, 2026Bhvain Makwana, Kashyap Patel, Manjunath Joshi +1Quantum State TomographyQuantum Machine Learning

    Dhirubhai Ambani University, Gandhinagar, Gujarat, India · Georgia Institute of Technology, Atlanta, Georgia, USA

  10. Hyperbolic Restricted Boltzmann Machine Neural Quantum State

    Sep 22, 2026H. L. DaoNeural Quantum StatesQuantum Many-Body Physics

  11. Stochastic Reconfiguration as Statistical Filtering for Overparameterized Neural Quantum States

    Sep 20, 2026Tak HurOverparameterized Neural NetworkNeural Quantum States

    Department of Applied Mathematics, University of Waterloo 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada

  12. TetrisCNN for interpretable detection of phases of matter from experimental quantum simulator data

    Sep 17, 2026Kacper Cybiński, Björn van Zwol, James Enouen +5Quantum Machine LearningNeural Network Interpretability

    Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland · IDEAS Research Institute, Królewska 27, 00-060 Warsaw, Poland · Applied Quantum Algorithms ⟨aQaL⟩, LIACS & LION, Leiden University, The Netherlands +7

  13. Gradient-estimator design overcomes trainability barriers in neural-network-based variational optimization

    Sep 16, 2026Yi-Ran Xue, Rui Wang, Baigeng Wang +1Variance ReductionNeural Quantum States

    National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, China · Department of Physics, University of Massachusetts, Amherst, Massachusetts 01003, USA · Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China +4

  14. Topology Obstructs Pure Foundation Neural Quantum States

    Sep 7, 2026Timothy Heightman, Elena Orlova, Philip Mantrov +1Neural Quantum StatesQuantum Many-Body Physics

    1ICFO–Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels, Barcelona, Spain · 2Simulacra Research Inc., London, UK and Chicago, USA

  15. Sharp Mixed Spectral Barron Regularity of Coulombic Many-Electron Wave Functions

    Sep 1, 2026Pingbing Ming, Hao YuQuantum ChemistryQuantum Many-Body Physics

  16. Sharp Barron Regularity Results for Coulombic Many-Electron Wave Functions

    Aug 23, 2026Pingbing Ming, Hao YuQuantum Many-Body PhysicsQuantum Chemistry

  17. Hamilton-Zero: A Neural Tensor-Network Foundation Model for Ground States of Arbitrary Quadratic Qubit Hamiltonians

    Aug 12, 2026Timothy Heightman, Elena Orlova, Philip Mantrov +1Tensor NetworksNeural Quantum States

    1ICFO – Institut de Ci`encies Fot`oniques, The Barcelona Institute of Science and Technology · Castelldefels, Barcelona, Spain · 2Simulacra Research Inc., London, UK & Chicago, USA

  18. Enhanced Neural Quantum State via Annealed Gradient Descent

    Jul 21, 2026Shiwei Zhou, Yiming Huang, Xiao Yuan +1Neural Quantum StatesGradient Descent

    Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China · China Center of Advanced Science and Technology, Beijing 100190, China · Center on Frontiers of Computing Studies, School of Computer Science, Peking University, Beijing 100871, China

  19. Learning Topological Quantum Phases from Limited Subsystems

    Jul 12, 2026Mehran Khosrojerdi, Sougato Bose, Alessandro Cuccoli +3Quantum Many-Body Physics

    Department of Physics and Astronomy, University of Florence, via G. Sansone 1, I-50019 Sesto Fiorentino (FI), Italy · Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom · INFN Sezione di Firenze, via G. Sansone 1, I-50019, Sesto Fiorentino (FI), Italy +2

  20. Provable learning separation for predicting time-evolution of quantum many-body systems

    Jul 7, 2026Rahul Bandyopadhyay, Riccardo Molteni, Jens Eisert +2Quantum Machine LearningQuantum Many-Body Physics

    ⟨aQaL⟩, Applied Quantum Algorithms, Leiden University, The Netherlands · Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands · Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, 14195 Berlin, Germany +2

  21. One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective

    Jul 2, 2026Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4Neural Quantum StatesSecond-Order Optimization

    Mila Quebec AI Institute, Université de Montréal, Montréal, Canada · Applied Quantum Algorithms ⟨aQaL⟩, LIACS & LION, Leiden University, Leiden, Netherlands · QuTech and Kavli Institute of Nanoscience, Delft University of Technology, Delft, Netherlands +1

  22. Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders

    Jul 1, 2026Zihao Qi, Christopher EarlsNeural Quantum StatesMechanistic Interpretability

    Department of Physics, Cornell University, Ithaca, NY 14853, USA. · Center for Applied Mathematics, Cornell University, Ithaca, NY 14853, USA.

  23. Holographic Quantum Transformer: A Generalist Neuro-Symbolic Architecture for Solving Frustrated Systems via Generative Attention

    Jul 1, 2026Xingran Guo, Tiaojie Xiao, Jie Liu +1Neural Quantum StatesZero-Shot Learning

    National University of Defense Technology Changsha, China · State University of New York at New Paltz New Paltz, NY, USA

  24. Learning the structure of open quantum systems

    Jun 29, 2026Laura Lewis, Ewin Tang, John WrightQuantum System IdentificationQuantum Machine Learning

    UC Berkeley

  25. Is Variational Monte Carlo Robust? Sharp Moment Thresholds and Heavy-tailed Stochastic Optimization

    Jun 24, 2026Philipp Grohs, Davide NobileStochastic OptimizationVariational Monte Carlo

    Faculty of Mathematics, University of Vienna · RICAM, Austrian Academy of Sciences

  26. Two-dimensional Hyperbolic RNN Neural Quantum State

    Jun 24, 2026H. L. DaoNeural Quantum StatesRecurrent Neural Networks

  27. Learning ground state observables from quantum computing experiments

    Jun 14, 2026Ben Jaderberg, Freya Shah, Minjun Jeon +3Quantum Machine LearningQuantum Many-Body Physics

    IBM Quantum, IBM Research Europe, Hursley, Winchester, SO21 2JN, United Kingdom · Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom · IBM Quantum, T. J. Watson Research Center, Yorktown Heights, NY 10598, USA +4

  28. Low-variance estimators overcome the phase-gradient bottleneck in complex-valued neural quantum states

    Jun 11, 2026Yi-Ran Xue, Rui Wang, Baigeng Wang +1Neural Quantum StatesVariational Monte Carlo

    *National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, China. · Department of Physics, University of Massachusetts, Amherst, Massachusetts 01003, USA. · Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China. +3

  29. Agentic multi-fidelity learning of quasiparticle and excitonic properties

    Jun 5, 2026Arnab Neogi, Aaron Forde, Christopher A. Lane +2AI Agents for Scientific DiscoveryMaterials Property Prediction

    Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA · Center for Integrated Nanotechnologies, Materials Physics and Applications Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

  30. Physically Constrained Ensemble Gaussian Process Modelling for Expensive Quantum Systems with Heteroskedastic Noise

    May 29, 2026Arpan Biswas, Sutirtha Paul, Joseph Agada +2Surrogate ModelingUncertainty Quantification

    University of Tennessee-Oak Ridge Innovation Institute, University of Tennessee, Knoxville, TN 37996, USA · Institute for Advanced Materials and Manufacturing, University of Tennessee, Knoxville, Tennessee 37996, USA · Department of Physics and Astronomy, University of Tennessee, Knoxville, TN 37996, USA. +2