cond-mat.stat-mech papers

Statistical mechanics explores how the chaotic motion of countless tiny particles gives rise to the predictable laws governing heat, pressure, and phase transitions. This field bridges the gap between the microscopic world of atoms and the macroscopic reality we experience daily, offering deep insights into why materials behave the way they do.

On Gist.Science, we process every new preprint in this category as it appears on arXiv to make these complex findings accessible to everyone. For each paper, we provide both a plain-language explanation for the curious reader and a detailed technical summary for specialists, ensuring that groundbreaking research is never lost behind a wall of jargon.

Below are the latest papers in statistical mechanics, freshly curated and summarized to help you understand the cutting edge of this fascinating discipline.

🔬 condensed matter

Nonequilibrium steady states induced by stochastic mid-circuit measurements and resets on a quantum computer

This paper presents a noisy discrete-time theory and its experimental validation on a superconducting quantum processor with up to seven qubits, demonstrating that stochastic mid-circuit measurements and resets can successfully drive interacting quantum systems into nonequilibrium steady states that quantitatively match theoretical predictions and exhibit signatures of equilibrium quantum phase transitions.

Jakob Murauer, Sabine Tornow, Gabriele Perfetto2026-06-19

🌀 nonlinear sciences

Spectra as a classical phenomenon, and the Einstein classical program

This paper challenges the notion that spectra are purely unintelligible quantum phenomena by demonstrating that classical calculations of ionic crystal infrared spectra can reproduce experimental data across a wide temperature range—especially when incorporating Nernst's concept of zero-point energy—thereby advancing the "Einstein Classical Program" of deriving quantum physics from a realistic classical framework.

Andrea Carati, Luigi Galgani, Fabrizio Gangemi2026-06-19

🔬 condensed matter

Unleashing Emergent Fermions with Rydberg Atom Simulators

This paper proposes two complementary Rydberg atom simulator approaches—analog Möbius band geometry and digital Kibble-Zurek ramping—to efficiently characterize and experimentally probe emergent fermions in critical quantum many-body systems.

Hanteng Wang, Xingyu Li, Shang Liu, Yingfei Gu, Chengshu Li2026-06-19

🔬 condensed matter

Collective phases in overdamped magnetic self-propelled spherocylinders

This study demonstrates that combining particle elongation with distributed magnetic charge in overdamped self-propelled spherocylinders creates a unique torque mechanism that competes with steric alignment, enabling the emergence of a rich variety of collective phases including polar flocks, chains, and vortices.

Francisca Guzmán-Lastra, Néstor Sepúlveda2026-06-19

⚛️ high-energy theory

Quantum models with the Yang-Lee phase transition

This paper presents four distinct $1+1$ D quantum models that realize the Yang-Lee phase transition under $PT$ -symmetric deformation, demonstrating through analytical and numerical methods that their critical points are universally described by a massless bosonic field with an $i\phi^3$ interaction and exhibit scaling dimensions consistent with exact two-dimensional results.

Erick Arguello Cruz, Grigory Tarnopolsky2026-06-19

🔬 physics

The Heat Kernel Expansion: Curvature for Shock Detection in Higher-Order Financial Networks

This paper proposes a novel curvature measure derived from the heat kernel expansion as a sensitive indicator for detecting financial shocks and legislative impacts in Norwegian corporate networks, demonstrating its superiority over traditional topological metrics like the Euler characteristic and torsion in capturing local network variations.

Mohammad Elsayed, Sara Najem2026-06-19

🔢 mathematics

Norms, overlaps and Yangian descendants for the Haldane--Shastry spin chain

This paper provides a systematic construction of Yangian descendant states for the Haldane-Shastry spin chain using the algebraic Bethe ansatz, enabling the derivation of explicit product and determinant formulae for their norms and overlaps.

Yunfeng Jiang, Jules Lamers, Yuan Miao2026-06-19

🌀 nonlinear sciences

Thermodynamic Measure of Intelligence

This paper proposes that intelligence can be universally measured as the thermodynamic amplification of rare but valid futures, arguing that recursive self-simulation is both necessary and nearly sufficient for a system to achieve high levels of this "rare-valid lift."

Ishanu Chattopadhyay2026-06-19

🔬 materials science

Polymer-polymer interdiffusion: effects of entanglements and a polymeric source

This paper investigates polymer-polymer interdiffusion in both entangled and unentangled regimes with and without a polymeric source using a two-fluid formalism to derive scaling relations and analytical solutions that are validated by numerical simulations, revealing that while a source term disrupts self-similarity, the diffusing front retains similar spatial characteristics.

Avraham Moriel, Howard A. Stone2026-06-19

🔬 condensed matter

Approximation theory for Green's functions via the Lanczos algorithm

This paper develops a theoretical framework for the error convergence of the stitching approximation in Green's function calculations via the Lanczos algorithm, demonstrating that the convergence rate depends on the decay of subleading Lanczos coefficients and the smoothness of the spectral function, while also deriving a formula linking the spectral function at the origin to continued fraction coefficients to estimate the diffusion constant in the mixed-field Ising model.

Gabriele Pinna, Oliver Lunt, Curt von Keyserlingk2026-06-18

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