Modular non-Hermitian topology and its application to critical sensing
- URL: http://arxiv.org/abs/2605.29173v1
- Date: Wed, 27 May 2026 23:16:02 GMT
- Title: Modular non-Hermitian topology and its application to critical sensing
- Abstract summary: Non-Hermitian topological systems have attracted a lot of research activities in recent times.<n>We show that modular structures, where specific couplings at regular intervals take distinct values, enrich the unique topological attributes of these systems.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Non-Hermitian topological systems have attracted a lot of research activities in recent times, both theoretically and experimentally, due to their unique physical properties and association with open quantum systems. We show that modular structures, where specific couplings at regular intervals take distinct values, enrich the unique topological attributes of these systems such as the non-Hermitian skin effect and the breakdown of conventional bulk-boundary correspondence. These systems also possess the capability of displaying criticality-enhanced sensitivity for precision metrology. We establish how the modular structure enhances their sensing performance near spectral topological phase transitions and show that the enhancement can be achieved in multi-parameter estimation scenarios as well.
Related papers
- K-Models: a Flexible and Interpretable Method for Ordinal Clustering with Application to Antigen-Antibody Interaction Profiles [65.21921642886367]
K-Models is a novel framework that integrates ordinal constraints and estimates key underlying elements of the random process generating the observed functional profiles.<n>The proposed method is evaluated through simulations and real-world applications.
arXiv Detail & Related papers (2026-05-14T13:35:44Z) - A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era [57.5440098776759]
Molecular property prediction integrates quantum chemistry, cheminformatics, and deep learning to connect molecular structure with biological behavior.<n>This survey traces four complementary paradigms, including Quantum, Descriptor Machine Learning, Geometric Deep Learning, and Foundation Models.<n> Benchmark analyses integrate evidence from both widely used datasets and datasets reflecting industry perspectives.
arXiv Detail & Related papers (2026-04-17T15:16:33Z) - Learning Hidden Structures in Open Quantum Dynamics [78.4675086615913]
We introduce a machine-learning approach for identifying hidden structural features of open quantum dynamics under restricted experimental access.<n>Our framework targets the inference of invariant algebraic structures underlying the effective Markovian evolution.<n>The feasibility of the approach is illustrated on multiple synthetic models and a waveguide quantum electrodynamics system.
arXiv Detail & Related papers (2026-04-01T10:20:38Z) - OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning [51.33849811496781]
Large Language Models (LLMs) have demonstrated exceptional logical reasoning capabilities but frequently struggle with the continuous dynamics by Partial Differential Equations (PDEs)<n>We propose OMNIFLOW, a multimodal-symbolic architecture designed to ground frozen LLMs in fundamental physical laws without requiring domain-specific parameter updates.<n>We evaluate it on a benchmark spanning microscopic turbulence, theoretical Navier-Stokes, and macroscopic global weather forecasting.
arXiv Detail & Related papers (2026-03-16T18:29:01Z) - A unified framework for exceptional point pairs in non-Hermitian two-level systems [0.43331379059769387]
Exceptional points (EPs) in non-Hermitian systems are branch singularities where eigenvalues and eigenvectors simultaneously coalesce.<n>We investigate the interplay between eigenenergy braiding and Berry phase accumulation in two-level non-Hermitian systems hosting pairs of EPs.
arXiv Detail & Related papers (2025-09-11T03:57:26Z) - Spatiodynamic inference using vision-based generative modelling [0.5461938536945723]
We develop a simulation-based inference framework that employs vision transformer-driven encoded variational representations.<n>The central idea is to construct a fine-grained, structured mesh of latent dynamics through systematic exploration of the parameter space.<n>By integrating generative modeling with mechanistic principles, our approach provides a unified inference framework.
arXiv Detail & Related papers (2025-07-29T22:10:50Z) - Quantum generalizations of Glauber and Metropolis dynamics [0.1437446768735628]
We give an efficiently implementable discrete-time quantum counterpart to Metropolis sampling.
Also, we give an alternative highly coherent quantum generalization of detailed balanced dynamics.
arXiv Detail & Related papers (2024-05-30T17:57:04Z) - Enhanced Entanglement in the Measurement-Altered Quantum Ising Chain [43.80709028066351]
Local quantum measurements do not simply disentangle degrees of freedom, but may actually strengthen the entanglement in the system.<n>This paper explores how a finite density of local measurement modifies a given state's entanglement structure.
arXiv Detail & Related papers (2023-10-04T09:51:00Z) - Enhancement of quantum correlations and geometric phase for a driven
bipartite quantum system in a structured environment [77.34726150561087]
We study the role of driving in an initial maximally entangled state evolving under a structured environment.
This knowledge can aid the search for physical setups that best retain quantum properties under dissipative dynamics.
arXiv Detail & Related papers (2021-03-18T21:11:37Z) - Basis-independent system-environment coherence is necessary to detect
magnetic field direction in an avian-inspired quantum magnetic sensor [77.34726150561087]
We consider an avian-inspired quantum magnetic sensor composed of two radicals with a third "scavenger" radical under the influence of a collisional environment.
We show that basis-independent coherence, in which the initial system-environment state is non-maximally mixed, is necessary for optimal performance.
arXiv Detail & Related papers (2020-11-30T17:19:17Z) - Point-gap topology with complete bulk-boundary correspondence in
dissipative quantum systems [0.0]
The spectral and dynamical properties of dissipative quantum systems are investigated from a topological point of view.
We find anomalous skin modes with exponential amplification even though the quantum system is purely dissipative.
arXiv Detail & Related papers (2020-10-28T10:15:40Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.