output
20182026
most citedParametrically enhancing sensor sensitivity at an exceptional point

33 citations

11 papers

cs.CR2026★ 2 cited

Leveraging the Power of Ensemble Learning for Secure Low Altitude Economy

Yaoqi Yang, Yong Chen, Jiacheng Wang +3

Low Altitude Economy (LAE) holds immense promise for enhancing societal well-being and driving economic growth. However, this burgeoning field is vulnerable to security threats, pa…

cs.AI2025★ 1 cited

Policy Cards: Machine-Readable Runtime Governance for Autonomous AI Agents

Juraj Mavračić

Policy Cards are introduced as a machine-readable, deployment-layer standard for expressing operational, regulatory, and ethical constraints for AI agents. The Policy Card sits wit…

physics.soc-ph2025

Complexity in the Wake of Artificial Intelligence

Theodore Modis

This study aims to evaluate quantitatively, albeit in arbitrary units, the evolution of complexity of the human system since the domestication of fire. This is made possible by stu…

physics.chem-ph2025★ 1 cited

Quantum Simulations of Chemical Reactions: Achieving Accuracy with NISQ Devices

Maitreyee Sarkar, Lisa Roy, Akash Gutal +2

Quantum computing is viewed as a promising technology because of its potential for polynomial growth in complexity, in contrast to the exponential growth observed in its classical…

gr-qc2025★ 11 cited

Instability Analysis of Massive Static Phantom Wormholes via the Spectral Method

Davide Batic, Denys Dutykh

Using the spectral method, we investigate the scalar and axial quasinormal modes (QNMs) of massive static phantom wormholes. Our results reveal the existence of purely imaginary QN…

gr-qc2024★ 12 cited

A Unified Spectral Approach for Quasinormal Modes of Lee-Wick Black Holes

Davide Batic, Denys Dutykh, Breno Loureiro Giacchini

In this paper, we undertake a comprehensive examination of quasinormal modes linked to Lee-Wick black holes, delving into scalar, electromagnetic, and gravitational perturbations u…

stat.ML2024★ 3 cited

BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo

Max D. Champneys, Timothy J. Rogers

Model parsimony is an important \emph{cognitive bias} in data-driven modelling that aids interpretability and helps to prevent over-fitting. Sparse identification of nonlinear dyna…

quant-ph2024★ 17 cited

Entropy production rate and correlations of cavity magnomechanical system

Collins O. Edet, Muhammad Asjad, Denys Dutykh +2

We present the irreversibility generated by a stationary cavity magnomechanical system composed of a yttrium iron garnet (YIG) sphere with a diameter of a few hundred micrometers i…

quant-ph2024★ 33 cited

Parametrically enhancing sensor sensitivity at an exceptional point

P. Djorwé, M. Asjad, Y. Pennec +2

We propose a scheme to enhance the sensitivity of Non-Hermitian optomechanical mass-sensors. The benchmark system consists of two coupled optomechanical systems where the mechanica…

eess.SY2023★ 6 cited

Data-driven Estimation, Tracking, and System Identification of Deterministic and Stochastic Optical Spot Dynamics

Aleksandar Haber, Michael Krainak

Stabilization, disturbance rejection, and control of optical beams and optical spots are ubiquitous problems that are crucial for the development of optical systems for ground and…

cond-mat.mes-hall2018

Spin blockades to relaxation of hot multi-excitons in nanocrystals

Tufan Ghosh, Marcel D. Fabian, Joanna Dehnel +3

The rates of elementary photophysical processes in nanocrystals, such as carrier cooling, multiexciton generation, Auger recombination etc., are determined by monitoring the transi…