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Previous work [SciPost Phys. 14, 129 (2023)] has demonstrated that quantum simulation of abelian lattice gauge theories (Wegner models including the toric code in a limit) in general dimensions can be achieved by local adaptive measurements…

Strongly Correlated Electrons · Physics 2024-10-08 Takuya Okuda , Aswin Parayil Mana , Hiroki Sukeno

We develop a unified spectral-semigroup framework that connects real-time and imaginary-time quantum dynamics through analytic continuation. Within this formulation, evolution is expressed as an exponential reweighting of spectral…

Applied Physics · Physics 2026-05-12 Pengfei Zhu

We investigate the rupture of invariant tubes in a class of nonautonomous dynamical systems arising from time-dependent Ermakov-type equations. Starting from an exactly tube-integrable reference system, we analyze a time-dependent invariant…

Dynamical Systems · Mathematics 2026-01-19 Johannes Hagel

The 7\times7 reconstruction of the Si(111) surface represents arguably the most fascinating surface reconstruction so far observed in nature. Yet, the atomistic mechanism underpinning its formation remains unclear after it was discovered…

Materials Science · Physics 2021-05-05 Lin Hu , Bing Huang , Feng Liu

Persistent homology is a tool that can be employed to summarize the shape of data by quantifying homological features. When the data is an object in $\mathbb{R}^d$, the (augmented) persistent homology transform ((A)PHT) is a family of…

Computational Geometry · Computer Science 2022-12-27 Brittany Terese Fasy , Samuel Micka , David L. Millman , Anna Schenfisch , Lucia Williams

Selective unlearning and long-horizon extrapolation remain fragile in modern neural networks, even when tasks have underlying algebraic structure. In this work, we argue that these failures arise not solely from optimization or unlearning…

Machine Learning · Computer Science 2026-02-06 Ojasva Nema , Kaustubh Sharma , Aditya Chauhan , Parikshit Pareek

We propound the thesis that there is a limitation to the number of possible structures which are axiomatically endowed with identities involving operations. In the case of algebras with a binary operation satisfying a formally reducible (to…

Rings and Algebras · Mathematics 2007-05-23 Constantin M. Petridi , P. B. Krikelis

We generalize the topological response theory to detect the boundary anomalies of linear subsystem symmetries. This approach allows us to distinguish different subsystem symmetry-protected topological (SSPT) phases and uncover new ones. We…

Strongly Correlated Electrons · Physics 2025-05-20 Ke Ding , Hao-Ran Zhang , Bai-Ting Liu , Shuo Yang

Decoherence in realistic quantum platforms motivates a mixed-state notion of topological phases of matter, including average symmetry-protected topological (ASPT) phases. Alongside this progress, generalized symmetries--notably…

Strongly Correlated Electrons · Physics 2026-03-19 Linhao Li , Zhen Bi , Weiguang Cao

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of $\mathds{1}_{\{p\leq0\}}$ to the image plane, where $\mathds{1}$ denotes the indicator function…

Computational Geometry · Computer Science 2016-11-03 Mitra Fatemi , Arash Amini , Martin Vetterli

We consider the generators of gauge transformations with test functions which do not vanish on the boundary of a spacelike region of interest. These are known to generate the edge degrees of freedom in a gauge theory. In this paper, we…

High Energy Physics - Theory · Physics 2022-07-20 A. P. Balachandran , V. P. Nair , A. Pinzul , A. F. Reyes-Lega , S. Vaidya

We solve the one dimensional massive Thirring model or equivalently the sine-Gordon model in the repulsive regime with general Dirichlet boundary conditions, which are characterized by two boundary fields $\phi_{L,R}$ associated with the…

High Energy Physics - Theory · Physics 2025-06-25 Parameshwar R. Pasnoori , Patrick Azaria

Recent studies have unveiled new possibilities for discovering intrinsic quantum phases that are unique to open systems, including phases with average symmetry-protected topological (ASPT) order and strong-to-weak spontaneous symmetry…

Strongly Correlated Electrons · Physics 2025-05-21 Yuchen Guo , Shuo Yang

Large language models suffer from "hallucinations"-logical inconsistencies induced by semantic noise. We propose that current architectures operate in a "Metric Phase," where causal order is vulnerable to spontaneous symmetry breaking.…

Machine Learning · Computer Science 2026-01-09 Ilmo Sung

We investigate the dynamical and structural properties of absorbing phase transitions (APTs) within granular systems. Specifically, we examine a model for vibrofluidized systems of spherical grains, which undergo a transition from a state…

Soft Condensed Matter · Physics 2025-12-24 Raphael Maire , Andrea Plati , Frank Smallenburg , Giuseppe Foffi

We investigate the reflected entropy for bipartite mixed state configurations in a $T\bar{T}$ deformed boundary conformal field theory in $2$ dimensions (BCFT$_2$). The bulk dual is described by asymptotically AdS$_3$ geometries with the…

High Energy Physics - Theory · Physics 2025-07-01 Debarshi Basu , Himanshu Chourasiya , Ankur Dey , Vinayak Raj

We revisit evaluation of logical formulas that allow both uninterpreted relations, constrained to be finite, as well as an interpreted vocabulary over an infinite domain. This formalism was denoted embedded finite model theory in the past.…

Logic in Computer Science · Computer Science 2024-05-22 Michael Benedikt , Ehud Hrushovski

Subregion duality in AdS/CFT implies certain constraints on the geometry: entanglement wedges must contain causal wedges, and nested boundary regions must have nested entanglement wedges. We elucidate the logical connections between these…

High Energy Physics - Theory · Physics 2016-11-18 Chris Akers , Jason Koeller , Stefan Leichenauer , Adam Levine

We introduce a biologically inspired, multilayer neural architecture composed of Rectified Spectral Units (ReSUs). Each ReSU projects a recent window of its input history onto a canonical direction obtained via canonical correlation…

Recent studies suggest that asymmetric binary perceptron (ABP) likely exhibits the so-called statistical-computational gap characterized with the appearance of two phase transitioning constraint density thresholds: \textbf{\emph{(i)}} the…

Machine Learning · Statistics 2025-11-04 Mihailo Stojnic