1940 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.
This paper demonstrates that conditioning on rare boundary measurement outcomes in a deterministic quantum East circuit generates a long-range correlated state with fractal structure, revealing a formal connection to the Petz recovery map and establishing a method to control bulk quantum properties via measurements.
This paper demonstrates the realization of robust, long-lived Discrete Time Crystals in one-dimensional integrable, periodically driven quadratic lattice models by engineering Next-Nearest-Neighbor interactions to pin quasienergy modes, thereby offering a disorder-free alternative to many-body localization-based stabilization schemes.
This paper establishes a rigorous, decoder-independent framework by generalizing the statistical-mechanical mapping to transversal Clifford logical circuits, enabling precise estimation of error thresholds for fault-tolerant computation and demonstrating that transversal gates like tCNOT reduce the toric code's bit-flip threshold from 0.109 to 0.080.
This paper investigates how Hamiltonian deformations affect Krylov complexity by demonstrating that certain deformations preserve the Krylov subspace while reorganizing its basis and yielding generalized Toda equations, with applications to coherent Gibbs states, random matrices, and supersymmetric systems.
This paper demonstrates that a Global Annealing Monte Carlo algorithm, which integrates machine learning-proposed global moves with essential local moves, robustly outperforms state-of-the-art classical methods like Simulated Annealing and Population Annealing in solving three-dimensional Ising spin glass problems without requiring hyperparameter tuning.
This paper investigates the long-time approach to equilibrium for a harmonic oscillator coupled to a large chain of oscillators, demonstrating that while the system exhibits thermalization-like behavior at leading order in the coupling strength, higher-order corrections reveal persistent oscillations and power-law decays that prevent the bath from being accurately modeled as a simple stochastic thermostat.
This paper investigates the emergence of semiclassical spacetime in many-body quantum systems with quenched disorder by computing their spectral functions, finding that the SU(M) Heisenberg model exhibits exponential tails similar to the SYK model and the p-spin model displays infinite quasiparticle excitations, while ultimately proving that such exponential spectral tails preclude low-energy operators from detecting nontrivial bulk causal structures.
This paper presents a general framework combining a lattice-Bisognano-Wichmann ansatz with multi-replica-trick quantum Monte Carlo methods to accurately reconstruct entanglement Hamiltonians in diverse two-dimensional quantum systems, demonstrating that the ansatz remains a valid approximation even in the absence of Lorentz invariance and translational symmetry.
This paper derives a general self-consistent random phase approximation (sc-RPA) framework from the projective truncation approximation (PTA) that applies to arbitrary temperatures, rationalizes Rowe's zero-temperature formalism, and successfully captures key physical features of the one-dimensional spinless fermion model in disordered regimes.
This paper demonstrates that topological edge modes at quantum critical points induce anomalous dynamical scaling in boundary order parameters and defect production during driven dynamics, deviating from standard Kibble-Zurek scaling while bulk dynamics remain conventional.