247 papers
This paper introduces a dynamical mean-field model that explains how temperature gradients drive convective phase separation in attractive particle systems, revealing that the transition to periodic patterns is governed by a dominant unstable mode and results in robust steady-state convective currents.
This paper experimentally demonstrates that environmental memory in non-Markovian systems can be harnessed as a thermodynamic resource to extract work exceeding the energy stored in observable degrees of freedom, thereby establishing concealed memory as a viable fuel for information engines.
This paper investigates a deformable spin-1/2 Ising chain under magnetic fields, revealing that longitudinal fields induce discontinuous thermal phase transitions with hysteresis, whereas transverse fields drive a continuous quantum phase transition, with both scenarios exhibiting distinct anomalies in magnetic and elastic properties.
This paper investigates stochastic resonance in coupled bistable oscillators on higher-order networks driven by colored noise, revealing that the interplay of pairwise and 2-simplex couplings exacerbates the noise-induced suppression of resonance by promoting the spatial propagation of synchronization extremes.
This paper proposes a deep learning-based dynamical scaling analysis method that utilizes neural networks to overcome the computational limitations of Gaussian process regression, thereby enabling the efficient processing of entire datasets with higher accuracy for models like the 2D Ising and 3-state Potts models.
This paper introduces a transparent scaling theory based on a compounding formula that decouples activity from polymer connectivity to accurately predict the mean-squared displacement of active polymers across diverse noise statistics, offering a unifying framework for understanding their non-equilibrium dynamics.
This paper introduces an efficient preconditioning method derived from the metric tensor to accelerate gradient-based optimization of infinite projected entangled pair states (iPEPS), significantly improving computational efficiency and convergence for simulating strongly correlated quantum systems like the Heisenberg and Kitaev models.
This paper demonstrates that the evolution of political regimes follows universal stochastic principles characterized by critical, non-ergodic dynamics with heavy-tailed step sizes and sojourn times, which can be accurately modeled by a continuous time random walk despite being punctuated by unique historical pathways.
This paper establishes an operational criterion for the emergence of a well-defined global phase in time-dependent oscillator networks, demonstrating that phase robustness depends on the competition between coupling strength and ramp rates, with spectral properties governing synchronization in random networks while topological defects induce persistent partial ordering in spatial lattices.
This study employs network theory to analyze a MYH9-focused chemical library, demonstrating that multi-descriptor community detection reveals a robust, consensus-stable core of compounds that can be prioritized for drug repurposing in MYH9-related nephritis.
This paper systematically derives a dissipationless quantum kinetic equation for multi-band free fermionic systems using the Moyal product formalism to fully band-diagonalize dynamics and analyze second-order gradient corrections, revealing the critical role of quantum geometric tensors in band-resolved thermodynamics, nonlinear transport, and density-density response functions.
This paper demonstrates that absolute negative mobility, a paradoxical phenomenon where a system moves opposite to an applied force, can occur in a minimal one-dimensional overdamped system driven by active Poisson shot noise within a symmetric periodic potential, offering new insights into biological transport and microscopic separation strategies.
This paper develops an analytic approach linking the density of complex resonance poles to the distribution of reflection coefficients at complex energies, yielding explicit formulas for the crossover from narrow to broad resonances in both semi-infinite and short one-dimensional disordered samples, and validating these results against numerical simulations of the Anderson tight-binding model.
This paper demonstrates that the failure of the quantum-inspired Matrix Product State approach to solve 3-SAT via imaginary time propagation is fundamentally caused by classical computational complexity, specifically the hardness of the #3-SAT counting problem, which manifests as an entanglement barrier and necessitates superlinear non-stabilizer resources.
This paper demonstrates that a specific subclass of Goldilocks quantum cellular automata is integrable and mappable to free fermions through two distinct proofs, enabling classical simulation and providing a tunable parametric circuit for testing quantum hardware, while contrasting these with typically non-integrable variants that still conserve a quantity useful for error mitigation.
This paper demonstrates that the spin-1 AKLT Hamiltonian can be realized in tunable quantum-dot arrays by deriving an effective bilinear-biquadratic spin model from half-filled Hubbard tripods, where specific hopping parameters and coupling geometries yield the characteristic singlet-triplet degeneracy while suppressing unwanted longer-range interactions.
This paper investigates the periodic dynamics of a driven spin-one chain with -valued conserved quantities, revealing a rich phase diagram that includes quantum many-body scar states at high frequencies, ergodic thermalization at lower frequencies, and distinct regimes of prethermal strong and weak Hilbert space fragmentation at specific drive frequencies.
This paper proposes a unified framework demonstrating that the structural difference in decoherence—specifically, the preservation of coherence within the lowest phonon-number manifold by a quantized graviton bath versus its inevitable destruction by a classical stochastic gravitational field—provides an operational criterion for distinguishing the quantum or classical nature of gravitational waves using mesoscopic optomechanical systems.
This paper establishes that the Petz and Schumacher-Westmoreland recovery schemes achieve the true optimal threshold for quantum error correction and introduces the mutual trace distance as a necessary and sufficient diagnostic to determine this threshold without explicit optimization.
This review establishes a thermodynamic framework based on entropy production to analyze quantum coupled transport in nanoscale systems, demonstrating how conventional thermoelectric effects and inverse currents naturally emerge in single- and three-terminal quantum dot setups through the interplay of energy and particle fluxes.