Tootfinder

Coarsening dynamics for spiral and nonspiral waves in active Potts models
Hiroshi Noguchi
https://arxiv.org/abs/2509.17408 https://arxiv.org/pdf/2509.17408…

Coarsening dynamics for spiral and nonspiral waves in active Potts models
This study examines the domain-growth dynamics of $q$-state active Potts models ($q = 3$--$8$) under the cyclically symmetric conditions using Monte Carlo simulations on square and hexagonal lattices. By imposing active cyclic flipping of states, finite-length waves emerge in the long-term limit. This study focuses on coarsening dynamics from an initially random mixture of states to these moving-domain states. When spiral waves appear in the final state, the correlation length follows the Lifsh…

Je viens de lire l'article sur le fascisme de la fin des temps de Naomi Klein et Astra Taylor. C'est absolument flippant, glaçant. Je vous invite Š le lire, si toutefois vous avez le cœur bien accroché. Pour les autres qui l'ont déjŠ lu, vous en pensez quoi?
via @…

Jerry Jones insists flipping off fans at Cowboys-Jets was accidental: 'The intention was thumbs up'

https://www.cbssports.com/nfl/news/jerry-j

Spectral Graph Clustering under Differential Privacy: Balancing Privacy, Accuracy, and Efficiency
Mohamed Seif, Antti Koskela, H. Vincent Poor, Andrea J. Goldsmith
https://arxiv.org/abs/2510.07136

Spectral Graph Clustering under Differential Privacy: Balancing Privacy, Accuracy, and Efficiency
We study the problem of spectral graph clustering under edge differential privacy (DP). Specifically, we develop three mechanisms: (i) graph perturbation via randomized edge flipping combined with adjacency matrix shuffling, which enforces edge privacy while preserving key spectral properties of the graph. Importantly, shuffling considerably amplifies the guarantees: whereas flipping edges with a fixed probability alone provides only a constant epsilon edge DP guarantee as the number of nodes g…

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
Daniel Hein, Simon Wiedemann, Markus Baumann, Patrik Felbinger, Justin Klein, Maximilian Schieder, Jonas Stein, Dani\"elle Schuman, Thomas Cope, Steffen Udluft
https://arxiv.org/abs/2509.07614

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
Quantum policy evaluation (QPE) is a reinforcement learning (RL) algorithm which is quadratically more efficient than an analogous classical Monte Carlo estimation. It makes use of a direct quantum mechanical realization of a finite Markov decision process, in which the agent and the environment are modeled by unitary operators and exchange states, actions, and rewards in superposition. Previously, the quantum environment has been implemented and parametrized manually for an illustrative benchm…

Exploring the magnetic landscape of easily-exfoliable two-dimensional materials
Fatemeh Haddadi, Davide Campi, Flaviano dos Santos, Nicolas Mounet, Louis Ponet, Nicola Marzari, Marco Gibertini
https://arxiv.org/abs/2509.09531

Exploring the magnetic landscape of easily-exfoliable two-dimensional materials
Magnetic materials often exhibit complex energy landscapes with multiple local minima, each corresponding to a self-consistent electronic structure solution. Finding the global minimum is challenging, and heuristic methods are not always guaranteed to succeed. Here, we apply a recently developed automated workflow to systematically explore the energy landscape of 194 magnetic monolayers obtained from the Materials Cloud 2D crystals database and determine their ground-state magnetic order. Our a…

Magnetic-Field Control of Emergent Order in a 3D Dipolar Pyramid Artificial Spin Ice
Luca Berchialla, Gavin M. Macauley, Flavien Museur, Anja Weber, Laura J. Heyderman
https://arxiv.org/abs/2509.01534 …

Magnetic-Field Control of Emergent Order in a 3D Dipolar Pyramid Artificial Spin Ice
We realize a three-dimensional artificial spin ice of disconnected nanomagnets interacting solely via dipolar coupling, patterned on square pyramids. This Pyramid artificial spin ice, with both tilted and in-plane nanomagnets, supports tunable states. Monte Carlo simulations reveal a rich phase diagram and an emergent square ice of vertex-level effective spins. Tailored demagnetization protocols and magnetic force microscopy allow experimental access to low-energy states, establishing a platfor…

Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Reproducibility of fixed-node diffusion Monte Carlo across diverse community codes: The case of w...
Flaviano Della Pia, et al.