Two-Dimensional Ising Model

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Period ending 2026-09-21

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Period ending 2026-09-07

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  1. Hyperbolic Restricted Boltzmann Machine Neural Quantum State

    Sep 22, 2026H. L. DaoQuantum Neural NetworksMany-Body Physics

  2. Blind Thermodynamic Ontology Discovery from Anonymous Experiments

    Sep 20, 2026Linzhe Zhang, Changming XuThermodynamics

  3. Deep learning emergent spacetime from fermionic spectral functions in holography

    Sep 16, 2026Koji Hashimoto, Hyun-Sik Jeong, Keun-Young Kim +2Holographic Reduced RepresentationsQuantum Topological Phases

  4. Graph neural networks for exoplanet atmospheres

    Sep 15, 2026Antonia Vojtekova, Kai Hou Yip, Ingo P. Waldmann +4Exoplanet AtmospheresAtmospheric Dynamics

  5. Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning

    Sep 14, 2026Emmy Blumenthal, Nikolas Claussen, Benjamin Eysenbach +4Statistical MechanicsFree Energy Principle

  6. Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression

    Sep 14, 2026Huicheng Zhang, Xiyao Feng, Ze-Tong Li +6Large Language Model CompressionSingular Value Decomposition

  7. Online local learning for generative thermodynamic computing

    Sep 14, 2026Huilin Wang, Weibing DengThermodynamicsLangevin Dynamics

  8. A Function-Space Approach to the Statistical Mechanics of Learning Dynamics

    Sep 10, 2026Yizhou Zhang, Weichen Wu, Lun Du +1Learning DynamicsStatistical Mechanics

  9. High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression

    Sep 8, 2026Syamantak Kumar, Purnamrita Sarkar, Kevin Tian +1Two-Dimensional Ising ModelMarkovian Sampling

  10. Bridging Network Psychometrics and Artificial Intelligence: An Ising-Potts Model with LLM-Derived Weights

    Sep 8, 2026Matthias von DavierMean Opinion ScoresAgreement

  11. Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference

    Sep 7, 2026Heinrich von Campe, Bjoern Malte SchaeferMarkov Chain Monte CarloMarkovian Sampling

  12. Microcanonical Hamiltonian Monte Carlo and the Helmholtz Theorem

    Sep 7, 2026Heinrich von Campe, Bjoern Malte SchaeferHamiltonian Monte CarloThermodynamics

  13. Topology Obstructs Pure Foundation Neural Quantum States

    Sep 7, 2026Timothy Heightman, Elena Orlova, Philip Mantrov +1Quantum Topological PhasesHamiltonian

  14. Graph neural networks and the energetic cavity method for combinatorial optimization

    Sep 7, 2026Joe Bacchus George, George T. CantwellGraph Neural NetworksTwo-Dimensional Ising Model

  15. Symmetries and Causality: Causal Effect Identification Beyond IID Data

    Sep 3, 2026Martin Rabel, Jakob RungeCausal ReasoningIdentifiability

  16. Stochastic Optimization of Tree Tensor Networks

    Sep 1, 2026Marius Willner, Maximilian Scharf, André Uschmajew +2Tensor NetworksNeural Network Optimization

  17. A Human-AI Theorem Connecting Spontaneous and Field-Induced Mechanisms of Collective Behavior in One Dimension

    Aug 31, 2026Weiguo YinHuman-Ai CollaborationTwo-Dimensional Ising Model

  18. The thermodynamic freedom of a thermodynamic computer

    Aug 28, 2026Stephen WhitelamThermodynamicsStatistical Mechanics

  19. Physics of Agents: Statistical Mechanics Predicts Collective Behavior of AI Agents

    Aug 17, 2026Batu El, Jinhee Paeng, Fatih Dinc +7Collective BehaviorsArtificial Intelligence Agents

  20. Equivariant learning of a transferable three-dimensional classical density functional

    Aug 13, 2026Bingqing ChengDensity Functional TheoryStatistical Mechanics

  21. Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations

    Aug 13, 2026Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-SørensenUnified TransformerNeural Ordinary Differential Equations

  22. Thermodynamics of Learning: A Typed Four-Component Accounting of Memory, Fit, and Value

    Aug 13, 2026Akihito SudoValue FunctionsValue

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

    Aug 12, 2026Timothy Heightman, Elena Orlova, Philip Mantrov +1HamiltonianMany-Body Physics

  24. Carnot: Interpretable, Interactive, and Optimized Execution of Deep Research Queries

    Aug 10, 2026Matthew Russo, Yash Agarwal, Tianyu Li +5Data LakesComplex Query Answering

  25. Interaction Creates Dynamical AI Behavior Absent in Isolation

    Aug 7, 2026Bella Xinrui Li, Frank Yingjie Huo, Neil F JohnsonStatistical Mechanics

  26. Leveraging generative models to assist Monte Carlo sampling

    Aug 7, 2026Marylou GabriéGenerative ModelsStatistical Mechanics

  27. Data Driven Equation Discovery for Phase-Ordering Dynamics : From Allen Cahn to the Ising Model

    Aug 4, 2026Partha Sarathi Mondal, Manav Kumar Jalan, Anish Kumar +1Two-Dimensional Ising Model

  28. Thermalizing Stochastic Programs

    Aug 3, 2026Mirko Amico, Andraž Jelinčič, Colin Oscar Nancarrow +6StochasticThermodynamics

  29. Statistical Mechanics of Learning on Product Wasserstein Manifolds

    Aug 2, 2026Srinivasa Rao P Vangmayi P ReddyWasserstein DistanceDistributional Learning

  30. Temperature-driven inversion and nonlinear dynamics in ChatGPT-like AIs

    Aug 2, 2026Neil F. Johnson, Frank Yingjie Huo, Bella Xinrui LiNonlinear DynamicsDynamical Systems

  31. CN101 - A Digital Thermodynamic Computer for Generative AI

    Aug 1, 2026Lars Holdijk, Denis Melanson, Zier Mensch +14ThermodynamicsGenerative Artificial Intelligence

  32. Kohn-Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification

    Jul 30, 2026V. S. Usatyuk, D. A. Sapozhnikov, S. I. EgorovFeature LearningImage Classification

  33. Exploring Structures in Physics Problems: Can AI Agents Discover Statistical Mechanical Mappings?

    Jul 29, 2026Wanyu Zhao, Wanbing ZhaoArtificial Intelligence AgentsStatistical Mechanics

  34. Lowering the implementation barrier of neutral-atom quantum computing with agentic workflows

    Jul 28, 2026Constantin Dalyac, Alexandre Dauphin, Loïc Henriet +1Quantum ComputingAgentic Workflows

  35. Many-body Tipping Dynamics of ChatGPT-like AIs

    Jul 28, 2026Frank Yingjie Huo, Neil F. JohnsonArtificial Intelligence GovernanceMany-Body Physics

  36. Stacking the Deck: Tunable Trainability in Stacked LCUs

    Jul 27, 2026Nikhil Khatri, Stefan Zohren, Gabriel MatosVariational Quantum CircuitsQuantum Advantage

  37. Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian Eigenmodes

    Jul 27, 2026Sandeep Suresh Cranganore, Sebastian Lehner, Johannes Brandstetter +1Fokker--Planck EquationStatistical Mechanics

  38. Practical advantage beyond the quadratic speedup limit with fully-quantum walks

    Jul 24, 2026Massimiliano Incudini, Guglielmo MazzolaQuantum AdvantageQuantum Circuit Simulation

  39. Explainable quantum-compressed machine learning for complex fluid flows

    Jul 23, 2026Xiao Xue, Maida Wang, Mingyang Gao +2Quantum Machine LearningFluid Dynamics

  40. A Unified Variational Framework for Deep Weakly Supervised Image Segmentation

    Jul 22, 2026Yin King Chu, Lingfeng Li, Sung Ha Kang +2Robust SegmentationWeak Supervision

  41. Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion

    Jul 21, 2026Haoze Zhang, Han Li, Ke Xiao +3Combustion ControlThermodynamics

  42. Enhanced Neural Quantum State via Annealed Gradient Descent

    Jul 21, 2026Shiwei Zhou, Yiming Huang, Xiao Yuan +1Quantum Neural NetworksMany-Body Physics

  43. The Geometry of Semantic Space: A Continuous Geometric Framework for the Transformer Architecture

    Jul 19, 2026Zhihua LiangTransformer ArchitecturesRotary Position Embedding

  44. A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing

    Jul 17, 2026Owen Lockwood, Jérémy Béjanin, Joost Bus +4ThermodynamicsIn-Memory Computing

  45. Moment-Resolved Readout and Reservoir Diversity in Nonequilibrium Langevin Computing

    Jul 16, 2026JiZheng Duan, MingYang Zhao, YanWei Chen +1Reservoir ComputingReadout

  46. DeepCormack: Fermi surface tomography using model-based data-driven algorithms

    Jul 14, 2026Georg F. B. Lovric, Bryn Drury, Carola-Bibiane Schönlieb +2TomographyHigh-Fidelity Surface Reconstruction

  47. Learning Topological Quantum Phases from Limited Subsystems

    Jul 12, 2026Mehran Khosrojerdi, Sougato Bose, Alessandro Cuccoli +3Quantum Topological PhasesQuantum Kernels

  48. Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model

    Jul 11, 2026Max Weinmann, Miriam KlopotekLearning DynamicsTwo-Dimensional Ising Model

  49. Multi-agent Autoformalization of Tensor Network Theory

    Jul 8, 2026Sirui Lu, Erickson Tjoa, J. Ignacio CiracAutoformalizationTensor Networks

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

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

  51. Out-of-distribution Neural Inference in Dynamical Ising Models

    Jul 3, 2026Yuan-Bin Zhu, Shuang Qiao, Shi-Ju RanTwo-Dimensional Ising ModelLearning Dynamics

  52. Transfer Learning in High-dimensional Ising Models

    Jul 3, 2026Joonho Kim, Seyoung ParkTransfer LearningTwo-Dimensional Ising Model

  53. Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications

    Jul 2, 2026M. Doris, S. Guo, S. M. Koh +5Quantum Machine LearningMany-Body Physics

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

    Jul 2, 2026Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4Quantum Neural NetworksMany-Body Physics

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

    Jul 1, 2026Zihao Qi, Christopher EarlsQuantum Neural NetworksMany-Body Physics

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

    Jul 1, 2026Xingran Guo, Tiaojie Xiao, Jie Liu +1Two-Dimensional Ising ModelHolographic Reduced Representations

  57. Scaling Up Thermodynamic AI Models

    Jun 30, 2026Andrew G. MooreArtificial Intelligence ModelsTwo-Dimensional Ising Model

  58. Explaining Machine Learning and Memorization with Statistical Mechanics

    Jun 30, 2026Robin TheriaultDense Associative MemoryMachine Learning

  59. Diffusion-warm sampling of the XY model enables fast thermalization at scale

    Jun 29, 2026Sehmimul Hoque, Roger Melko, Pooya RonaghTwo-Dimensional Ising ModelMarkov Chain Monte Carlo

  60. Local-Minima-Preserving Continuous Relaxation of Ising Problems

    Jun 29, 2026Debraj Banerjee, Santanu Mahapatra, Kunal N. ChaudhurySemidefinite ProgrammingFlat Minima