Statistical Mechanics
Fractional epidemics from quantum loops
Jose Jesus Bernal-Alvarado and David Delepine
Classical compartmental models of epidemiology rely on well-mixed, local interaction approximations that fail to capture the heavy-tailed burst dynamics and long-range spatial correlations observed in real-world outbreaks. While fractional calculus is frequently employed to model these anomalous behaviors, fractional operators are introduced phenomenologically. In this work, we demonstrate that fractional space-time epidemic dynamics emerge naturally and rigorously from first principles using a non-
equilibrium quantum field theory model. By mapping the
stochastic contagion process to a gauge-mediated field theory via the Doi-Peliti formalism, we go beyond the static mean-field approximation to compute the full dynamical one-loop
vacuum polarization. We prove that integrating out a dynamically fluctuating host
vacuum generates anomalous momentum and frequency scaling. Transitioning back to coordinate space, this derives a coupled space-time fractional integro-differential equations, where the non-linear transmission vertex is governed by
parabolic Riesz potentials and Riemann-Liouville time derivatives. We show that in the anomalous regime ($\alpha < 2$), local Debye screening is modified, facilitating Lévy flight super-spreading and temporal avalanches. Consequently, the effective reproductive number ($R_{eff}$) ceases to be a scalar, transforming into a spectral dispersion relation bounded strictly by the ultraviolet spatial cutoff.
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Statistical Mechanics
Transient Thermodynamic Efficiency of Adaptive Inference in Continuously Nonstationary Environments
Aditya Gupta
Adaptive physical and biological systems continually process fluctuating information from their environments. When the environment is nonstationary, inference itself becomes a nonequilibrium process with thermodynamic cost. We analyse a minimal
stochastic model which is an overdamped particle in an adaptive double well potential whose control parameter tracks a drifting Ornstein Uhlenbeck signal. Using
stochastic energetics, we derive explicit expressions for
entropy production, mutual information rate, and a time dependent learning efficiency. High precision Langevin simulations reveal transient peaks in learning efficiency during rapid environmental shifts, absent in steady state averages. These results identify transient adaptive regimes as moments of maximal information to energy conversion, highlighting that maximal thermodynamic learning performance arises transiently rather than in steady state. Throughout this work, the environment is treated as an externally driven
stochastic signal rather than a thermodynamic subsystem under control, and its intrinsic
entropy production is therefore excluded from the thermodynamic accounting.
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Mesoscale and Nanoscale Physics
Spontaneous Polarization Suppression of Exciton-Exciton Annihilation in 3R-Stacked MoS$_2$ Bilayers
Tae Gwan Park, Xufan Li, Kyungnam Kang et al. (+4 more)
Rapid
exciton-
exciton annihilation (EEA) in two-dimensional
semiconductors limits access to high-density excitonic regimes essential for efficient optoelectronic operation under strong excitation. Here, we show that EEA is suppressed by repulsive dipole-dipole interactions between interlayer
excitons polarized by the spontaneous polarization intrinsic to rhombohedral (3R)-stacked MoS$_2$
bilayers. Using ultrafast pump-probe spectroscopy, we measure an EEA rate of $\gamma_{\rm EEA}=(5.03\pm0.99)\times10^{-3}$ cm$^2$ s$^{-1}$ in 3R
bilayers, which is approximately 18.2-fold smaller than that in monolayers and 2.9-fold smaller than that in nonpolar 2H
bilayers. Despite the higher
exciton diffusivity recently reported for 3R relative to 2H
bilayers, the reduced EEA rate in 3R indicates a rate-limited regime governed by the close-encounter annihilation probability rather than
diffusion. A rate-limited annihilation model incorporating a dipole-dipole repulsive potential captures the observed ratio $\gamma_{{\rm EEA},3{\rm R}}/\gamma_{{\rm EEA},2{\rm H}}\approx0.35$ for an
exciton-
exciton encounter distance of $\sim$1.3 nm, consistent with the
bilayer exciton Bohr radius. These results show that spontaneous polarization in 3R-stacked
bilayers suppresses nonlinear excitonic losses and provides a route toward high-density excitonics.
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All authors Tae Gwan Park, Xufan Li, Kyungnam Kang, David B. Geohegan, Christopher M. Rouleau, Alexander A. Puretzky, Kai Xiao
Superconductivity
A Dayem Loop Qubit Based on Interfering Superconducting Nanowires
Cliff Sun and Alexey Bezryadin
We propose a
qubit design based on two parallel superconducting nanowires (i.e., a "Dayem loop
qubit"). The inclusion of two nanowires instead of one leads to the Little-Parks effect, which provides an oscillator behavior for the
qubit frequency as well as anharmonicity. Our key result is that even if the nanowires have an increasingly linear CPR at low supercurrents, the
quantum interference between two condensates, induced by a
magnetic field, leads to a restoration of cubic nonlinearity, which is predicted to be sufficient to create a functional transmon
qubit based on thin superconducting wires. We consider both generic (cubic) current-phase relationships (CPR) as well as more realistic microscopic CPR, having higher-order nonlinearities. For higher-order CPRs, we propose a simple power-law phenomenological approximation valid at very low temperatures, at which superconducting
qubits normally operate.
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Superconductivity
From Atomistic Impurity Landscapes to Two-Level-System Distributions and Microwave Loss: Hydrogen-Induced Losses in Nb$_2$O$_{5-\delta}$ and Ta$_2$O$_{5-\delta}$
Cristóbal Méndez, Sarvesh Chaudhari and Tomás A. Arias
We introduce a first-principles-guided framework for predicting statistical TLS distributions from mobile
impurities in disordered materials. Machine-learned interatomic potentials, with DFT and minimum-action-path validation, connect
impurity landscapes to tunnel-splitting and asymmetry distributions, TLS densities, and dielectric loss. Applied to amorphous Nb$_2$O$_{5-\delta}$ and Ta$_2$O$_{5-\delta}$, the framework implicates interstitial hydrogen as a source of microwave loss. Loss tangents match Nb-pentoxide measurements at inferred H concentrations, while weaker H uptake in Ta reproduces the Nb/Ta TLS contrast.
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Soft Condensed Matter
Mesoscopic Modeling of Dynamic Tetra-PEG Hydrogel Networks
Pietro Miotti, Lucien Cousin, Mark W. Tibbitt et al. (+1 more)
We introduce a mesoscopic model of dynamic Tetra-PEG hydrogel networks based on a hybrid Dissipative Particle Dynamics/Monte Carlo (DPD/MC) approach.
Polymer chains are described by Finite Extensible Nonlinear Elastic (FENE) potential, while reversible cross-links are modeled with Morse potential and Monte Carlo bond exchange governed by Bell's force-dependent kinetics. After systematic calibration against theory and experiments, the model reproduces the characteristic Maxwell-like viscoelastic response of these networks. In particular, the relaxation time follows the expected scaling, $\tau_R \propto \tau_b (p - p_{\text{gel}})$, and the simulated storage
moduli agree with experimental rheology. The mesoscopic resolution allows for graph-based topological analysis, where Tetra-PEG molecules and cross-links are represented as nodes and edges, providing access to bond distributions, fraction of dangling chains, and size of percolating clusters that are challenging to measure experimentally. Comparison with permanent-network predictions further suggests that dynamic bond exchange can affect bond distributions and delay the formation of a system-spanning cluster. This model bridges macromolecular bond kinetics and macroscopic mechanical properties, providing a complementary tool for rational design of dynamic
polymer networks.
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All authors Pietro Miotti, Lucien Cousin, Mark W. Tibbitt, Igor V. Pivkin
Other Condensed Matter · Cross-listed from cs.CR
Synchronized DNA sources for unconditionally secure cryptography
Sandra Jaudou, Hélène Gasnier, Elias Boudjella et al. (+11 more)
Secure communication is the cornerstone of modern infrastructures, yet achieving unconditional security -resistant to any computational attack- remains a fundamental challenge. The One-Time Pad (OTP), proven by Shannon to offer perfect secrecy, requires a shared random key as long as the message, used only once. However, distributing large keys over long distances has been impractical due to the lack of secure and scalable sharing options. Here, we introduce a DNA-based cryptographic primitive that leverages random pools of synthetic DNA to install a synchronized
entropy source between distant parties. Our approach uses duplicated DNA molecules -comprising random index-payload pairs- as a shared secret. These molecules are locally sequenced and digitized to generate a common binary mask for OTP encryption, achieving unconditional security without relying on computational assumptions. We experimentally demonstrate this protocol between Tokyo and Paris, using in-house sequencing, generating a shared secret mask of $\sim$ 400 Mb with a residual error rate to achieve the usual overall decryption failure rate of $2^{-128}$. The min-
entropy of the binary mask meets the most recent National Institute of Standards and Technology requirements (SP 800-90B), and is comparable to that of approved cryptographic random number generators. Critically, our system can resist two types of
adversarial interference through molecular copy-number statistics, providing an additional layer of security reminiscent of
Quantum Key Distribution, but without distance limitations. This work establishes DNA as a scalable
entropy source for long-distance OTP, enabling high-throughput and secure communications in sensitive contexts. By bridging molecular biology and cryptography, DNA-based key distribution opens a promising new route toward unconditional security in global communication networks.
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All authors Sandra Jaudou, Hélène Gasnier, Elias Boudjella, Marc Canève, Victoria Bloquert, Vasily Shenshin, Tilio Pilet, Sacha Gaucher, Soo Hyeon Kim, Philippe Gaborit, Gouenou Coatrieux, Matthieu Labousse, Anthony Genot, Yannick Rondelez
Materials Science · Cross-listed from quant-ph
Die to wafer direct bonding of (100) single-crystal diamond thin films for quantum optoelectronics
Dominic Lepage, Amin Yaghoobi, Heidi Tremblay et al. (+1 more)
This work unlocks the manufacturing of nanophotonic
quantum systems that exploit the unique material properties of single-
crystal diamond (SCD). We achieve this by introducing a
semiconductor-compatible process for the direct bonding of multiple high-quality, ultrathin diamond films onto a carrier wafer, enabling the subsequent parallel nanofabrication of optoelectronic integrated
circuits. Central to this approach is a new diamond surface-preparation method that avoids boiling tri-acid mixtures while producing exceptionally clean 20 um thin single
crystals. These platelets are bonded side-by-side to 100 mm silica wafers and exhibit a record shear strength of 45.1 MPa for (100)-oriented diamond, surpassing all previously reported bonding attempts. Evidence indicates that the bonding is dominated by van der Waals interactions, likely arising from mismatched protonation mechanisms between Si-OH and C-OH surface terminations, rather than from covalent-bond-driven mechanisms. Despite this non-molecular nature, the
heterostructures remain stable through
liquid immersions and standard nanofabrication steps. Because the method depends primarily on surface cleanliness and roughness rather than specific chemistries, it is broadly transferable across wafer materials. This capability to parallel-bond ultrathin SCD films onto large-area substrates provides a scalable route to high-performance platforms spanning nanophotonic
quantum technologies, high-power electronics, MEMS, and biotechnology.
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All authors Dominic Lepage, Amin Yaghoobi, Heidi Tremblay, Dominique Drouin
Materials Science
Spin crossover in FeO under shock compression
Lélia Libon, Alessandra Ravasio, Silvia Pandolfi et al. (+17 more)
FeO (wüstite), which exhibits complex electronic and structural properties with increasing pressure and temperature, is a key mineralogical phase for understanding deep planetary interiors. However, direct measurements of its
spin state at high-pressure and temperature remain challenging in static compression experiments. Here, we employ
laser-driven shock compression to extend the FeO principal Hugoniot up to $\sim$900 GPa and perform in situ X-ray diffraction and X-ray emission spectroscopy up to 250 GPa, probing FeO's
crystal structure and
spin state. We demonstrate a continuous
spin crossover of iron in FeO over a broad pressure range, with the high-
spin state persisting beyond Earth's core-mantle boundary (CMB) conditions. These observations provide new experimental constraints on iron
spin state at extreme conditions essential for geophysical models of (exo)planetary interiors.
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All authors Lélia Libon, Alessandra Ravasio, Silvia Pandolfi, Yanyao Zhang, Xuehui Wei, Jean-Alexis Hernandez, Hong Yang, Amanda J. Chen, Tommaso Vinci, Alessandra Benuzzi-Mounaix, Clemens Prescher, François Soubiran, Hae Ja Lee, Eric Galtier, Nick Czapla, Wendy L. Mao, Arianna E. Gleason, Sang Heon Shim, Roberto Alonso-Mori, Guillaume Morard
Materials Science
Engineering Quantum Phases in Two Dimensions via Vacancy-Induced Electronic Reconstruction
Emmanuel V. C. Lopes, Felipe Crasto de Lima, Caio Lewenkopf et al. (+1 more)
Topological phases of matter are commonly understood as emerging either from crystalline
symmetry and intrinsic
spin-orbit coupling or from disorder-driven electronic renormalization. In realistic materials, however, structural defects naturally combine both ingredients. Here, we demonstrate a general and material-independent mechanism by which atomic vacancies can induce topological phase transitions in two-dimensional
semiconductors that are otherwise topologically trivial. Vacancies generate locally ordered dangling-bond states governed by well-defined hopping and
spin-orbit interactions, while their spatial distribution and mutual coupling introduce long-range disorder. As vacancy concentration increases, the hybridization of these defect states forms an emergent electronic subspace that undergoes a topological transition. Using a tight-binding framework supported by large-scale density functional theory calculations, we show that this vacancy-induced electronic reconstruction can robustly stabilize
quantum spin Hall,
quantum anomalous
Hall, and Weyl semimetal phases, depending on
symmetry breaking and
spin polarization. Our results establish vacancies not merely as perturbations, but as active design elements capable of transforming trivial
insulators into topological
quantum matter, opening realistic routes for defect-engineered topological devices.
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All authors Emmanuel V. C. Lopes, Felipe Crasto de Lima, Caio Lewenkopf, Adalberto Fazzio
Mesoscale and Nanoscale Physics
Magnetically tunable telecom emission from Er3+ ions in layered WS2
Guadalupe Garcia-Arellano, Gabriel I. Lopez-Morales, Johannes Flick et al. (+2 more)
Erbium ions (Er3+) provide a telecom-band optical transition with strong
magnetic-dipole character, making them attractive for
quantum communication and
spin-
photon interfaces. Identifying host environments that combine low decoherence with photonic compatibility, however, remains a central challenge. Here we investigate Er3+ emission in tungsten disulfide (WS2) flakes, a layered host offering low
nuclear-
spin density and narrow telecom emission. Using time- and polarization-resolved photoluminescence under modest
magnetic fields (< 0.2 T), we observe pronounced dimming, lifetime extension, and rotation of the emission dipole when the field has an out-of-plane component, whereas in-plane fields produce little change. Effective model calculations of Er3+ in monolayer WS2 parametrized from density functional theory indicate that these effects arise primarily from Zeeman-induced mixing of near-degenerate
crystal-field sublevels, which modifies the magnitude and orientation of the optical transition dipole moments. Comparative measurements in flakes of different thickness and numerical estimates of the local density of optical states further suggest a secondary contribution from dipole coupling to the anisotropic photonic environment of thin WS2 layers. These findings identify layered WS2 as a platform where
magnetic fields can tune telecom emission through an interplay of
crystal-field physics and anisotropic photonic coupling.
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All authors Guadalupe Garcia-Arellano, Gabriel I. Lopez-Morales, Johannes Flick, Cyrus E. Dreyer, Carlos A. Meriles
Superconductivity
Interplay of superconductivity and ferromagnetism in ferromagnetic semiconductor-based Josephson junctions
Hirotaka Hara, Lukas Baker, Axel Leblanc et al. (+8 more)
The interplay between superconductivity and ferromagnetism has long been pursued as a route to unconventional Josephson effects, yet suitable material platforms remain limited. Here we report Josephson junctions based on epitaxial Al/InAs/(Ga,Fe)Sb
heterostructures grown by low-temperature molecular beam epitaxy, achieving atomically abrupt
superconductor/
semiconductor/
ferromagnetic interfaces. The devices exhibit clear proximity-induced superconductivity, including multiple Andreev reflections and gate-tunable supercurrents, confirming transparent coupling across the hybrid structure. Under perpendicular
magnetic fields, the junctions reveal highly unconventional Fraunhofer interference patterns with hysteresis, flux jumps, asymmetric lobe
evolution, and clear nonreciprocity, providing strong evidence of induced ferromagnetism and broken time-reversal
symmetry in the superconducting channel. Gate control further modulates the critical current, highlighting the semiconducting nature of the system. Our results demonstrate that
ferromagnetic semiconductor heterostructures can serve as a highly tunable platform for exploring proximity-induced superconductivity and superconducting diode effects, and for advancing device concepts at the intersection of magnetism and
quantum electronics.
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All authors Hirotaka Hara, Lukas Baker, Axel Leblanc, Shingen Miura, Keita Ishihara, Melissa Mikalsen, Patrick J. Strohbeen, Jacob Issokson, Masaaki Tanaka, Javad Shabani, Le Duc Anh
Soft Condensed Matter
Breakloose suppression in minimal friction models
Shubham Agarwal
Breakloose friction, the transient force peak at the onset of sliding, is often pronounced in nanoscale contacts but weak or absent in macroscopic systems. Although this behavior is commonly associated with rupture fronts and process-zone effects, how the stiction peak is controlled by system size, temperature, driving rate, and loading geometry, and what mechanisms underlie its emergence or suppression, remains incompletely understood. Here we investigate this problem using three minimal friction models with distinct loading geometries: a multi-particle Prandtl-Tomlinson system with independently driven particles, an end-driven Frenkel-Kontorova chain with elastic stress transmission along the interface, and a uniformly driven FK chain in which each site is coupled locally to the driving stage. We show that similar macroscopic suppression of breakloose friction can arise from fundamentally different mechanisms. In multi-particle PT systems, increasing system size or temperature promotes statistical dephasing of local depinning events, smoothing the global response. In end-driven FK chains, internal elasticity redistributes stress along the interface, delaying sliding onset and, together with higher temperature or slower driving, enabling progressive relaxation during loading. In uniformly-driven FK chains, the stiffness of the driving springs controls the synchronization of slip events and thereby the character of the sliding response. These results demonstrate that the presence or absence of a breakloose peak does not uniquely identify a single physical mechanism, but instead reflects the interplay of local pinning, elastic coupling, and contact architecture.
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Superconductivity
Real-space microscopic description of laser-pulse induced melting of superconductivity
Karl Bergson Hallberg, Guillermo Nava Antonio, Chiara Ciccarelli et al. (+1 more)
Quenching
quantum order via
laser pulses has proven a useful tool to access exotic physical effects in systems that are strongly perturbed out of
equilibrium. However, theoretical modelling of experimental measurements is typically done phenomenologically or by assuming translational invariance due to the complexity of the problem. Here, we solve a microscopic real-space model of the time dynamics of a
superconductor following an intense
laser-pulse. We are able to reproduce recent experimental findings displaying a critical slowing-down of the melting of the order parameter for
laser fluences close to the condensation energy. Moreover, we leverage the real-space resolution of our model to predict how phase fluctuations and currents in the system behave both spatially and temporally. We discover an unusual current flow in the
superconductor after the pulse has subsided, resembling backward waves that normally require special engineering in metamaterials or wave guides. Our results predict a rich behavior of the superconducting order parameter at a microscopic level which is manifested in current textures that can be probed using radiation detection.
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All authors Karl Bergson Hallberg, Guillermo Nava Antonio, Chiara Ciccarelli, Jacob Linder
Quantum Gases · Cross-listed from quant-ph
Scalable quantum resources with short-range interacting spin-$\frac12$ chains
Marcin Płodzień and Jan Chwedeńczuk
The dynamical generation of
quantum resources, such as many-body
entanglement, Bell correlations or
spin squeezing, can be achieved via one-axis twisting (OAT) dynamics, which require all-to-all couplings. However, current digital and analog
quantum simulation platforms natively provide short-range or power-law couplings that decay too quickly for this purpose. We demonstrate that two
spin-$\tfrac12$ chain models – a staggered nearest-neighbor XXX chain and a long-range XXZ chain – develop an effective OAT nonlinearity when projected onto the symmetric sector. We show that these dynamics generate metrologically useful
spin-squeezed states and Greenberger-Horne-Zeilinger coherences that ensure violation of many-body Bell inequalities. We confirm the accuracy of this mapping by comparing it to the exact dynamics and demonstrate that the generated correlations can be read out using a single probe
qubit. The resulting dynamics can be simulated with analog and digital
quantum simulators.
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Disordered Systems and Neural Networks · Cross-listed from physics.optics
Attractor-Keyed Memory
Natalia G. Berloff
Physical selectors (
lasers choosing a mode, Ising machines settling on a ground state, condensates occupying a
spin state) produce high-dimensional signatures at the moment of decision: full field amplitudes, multimode interference patterns, or scattering responses. These signatures are richer than the winner's index, yet they are routinely discarded. We show that when the signatures are repeatable across trials (stereotyped) and linearly independent across routes, a single linear decoder compiled from calibration data maps them to arbitrary payloads, merging selection and
memory access into one event and eliminating the fetch that dominates latency and energy in sparse routing architectures. The construction requires one SVD of measured device responses, which certifies capability and bounds worst-case error for any downstream payload before the task is chosen. Runtime error separates into two independently diagnosable channels, decoding fidelity (controlled by dictionary conditioning $\sigma_{\min}(\Phi)$) and routing reliability (controlled by the margin-to-noise ratio $\Delta/T_{\mathrm{eff}}$), each with a distinct physical origin and targeted remedy. We derive the full error decomposition, give Ising-machine selector constructions, and validate the predicted scalings on synthetic speckle-signature simulations across three measurement modalities. No hardware demonstration exists; we provide a falsifiable four-step experimental protocol specifying what a first experiment must measure. Whether real device signatures satisfy stereotypy is the central open question.
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Strongly Correlated Electrons
Field-direction sensitivity of Kondo hybridization in UTe$_2$
Thomas Halloran, Gicela Saucedo Salas, Sylvia K. Lewin et al. (+6 more)
Neutron scattering experiments on the
spin-triplet
superconductor UTe$_2$ have established that the dominant low-energy
magnetic response is along Brillouin zone boundaries, resembling the
magnetic susceptibility of narrow-gap interband excitations. We report a study of the sensitivity of these excitations to
magnetic field along the crystallographic $\hat{a}$-axis. Up to fields of $\mu_0 H$=13 T, the maximal inelastic
neutron spectral weight increases in energy transfer, with a pronounced increase in $d\hbar\omega_{peak}/dH$ near $\mu_0 H$=7 T. This behavior parallels the field and temperature dependent features of the electrical resistivity that are associated with Kondo hybridization. Our measurements suggest that $\hat{a}$-axis fields near $\mu_0 H$=7~T induce a change in the hybridization between heavy $f$-electrons and the bare conduction band.
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All authors Thomas Halloran, Gicela Saucedo Salas, Sylvia K. Lewin, J.A. Rodriguez-Rivera, Colin L. Sarkis, Jakob Lass, Daniel G. Mazzone, Marc Janoschek, Nicholas P. Butch
Statistical Mechanics
Rejection-free Glauber Monte Carlo for the 2D Random Field Ising Model via Hierarchical Probabilistic Counters
Luca Cattaneo, Federico Ettori, Giovanni Cerri et al. (+2 more)
We present an efficient Monte Carlo
algorithm for the simulation of the two-dimensional Random Field Ising Model (RFIM). The method combines the event-driven, rejection-free character of the Bortz Kalos-Lebowitz (BKL)
algorithm with Glauber transition probabilities, introducing hierarchical probabilistic counters to perform
spin selection in O(log N) operations. This enables efficient sampling of the system's dynamics, especially in the low-temperature and low-disorder regime, where traditional Metropolis updates suffer from critical slowing down. Furthermore, this approach allows a proper dynamical simulation of the Ising system's behavior even in the presence of a Random Field (RF), unlike the BKL method. RFIM simulations with Gaussian field distributions reproduce the expected reduction of the pseudo-critical temperature with increasing disorder. Benchmarking shows speedups exceeding two orders of magnitude compared to the Metropolis
algorithm in the low-temperature regime. The proposed method provides an efficient and dynamically faithful tool for studying both
equilibrium and non-
equilibrium phenomena in disordered
spin systems.
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All authors Luca Cattaneo, Federico Ettori, Giovanni Cerri, Paolo Biscari, Ezio Puppin