Two-Dimensional Ising Model

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Period ending 2026-09-21

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Period ending 2026-09-14

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Period ending 2026-09-07

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    May 8, 2026Aurélien Decelle, Alfonso de Jesús Navas Gómez, Beatriz SeoaneFree-Energy LandscapeTwo-Dimensional Ising Model

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  9. Lecture Notes on Statistical Physics and Neural Networks

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  13. Phase Transitions in Driven Informational Systems: A Two-Field Perspective on Learning Theory and Non-Equilibrium Chemistry

    May 5, 2026Truong Xuan KhanhPhase TransitionsStatistical Mechanics

  14. Barren Plateaus as Destructive Interference: A Diagnostic Framework and Implications for Structured Ansatzes

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  17. Sampling two-dimensional spin systems with transformers

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  20. Uncovering Exotic Paired States in the 2D Spin-Imbalanced Fermi Gas with Neural Wave Functions

    Apr 27, 2026Wan Tong Lou, Gino Cassella, Andres Perez Fadon +5Quantum Topological PhasesTwo-Dimensional Ising Model

  21. New non-Euclidean neural quantum states from additional types of hyperbolic recurrent neural networks

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    Apr 21, 2026Elija PerrierThermodynamicsInformation-Theoretic Limits

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  27. A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications

    Apr 18, 2026Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant +5Two-Dimensional Ising ModelField-Programmable Gate Arrays

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    Apr 17, 2026Paulin de Schoulepnikoff, Hendrik Poulsen Nautrup, Hans J. Briegel +1Quantum Machine LearningHybrid Quantum Neural Networks

  29. Phase Transitions as the Breakdown of Statistical Indistinguishability

    Apr 17, 2026Taiyo Narita, Hideyuki MiyaharaPhase TransitionsTwo-Dimensional Ising Model

  30. A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States

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  34. From Paper to Program: Knowledge Externalization and Bottleneck Diagnosis in AI-Assisted Quantum Many-Body Programming

    Apr 5, 2026Yi ZhouMany-Body PhysicsAblation

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  36. Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling

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  37. Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas?

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  41. A statistical physics framework for optimal learning

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  42. Local Learning Rules for Out-of-Equilibrium Physical Generative Models

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  43. Learning thermodynamic master equations for open quantum systems

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  44. Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks

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  46. Discrete distributions are learnable from metastable samples

    Oct 17, 2024Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra +1Two-Dimensional Ising ModelDistributional Learning

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  48. Statistical Mechanics of Semantic Compression

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