8 papers
Lindblad-Inspired Multi-Timescale Reservoir Computing with Separable Rotation and Dissipation
Jyotiranjan Beuria, Amit Shukla
Echo-state networks enable efficient temporal learning by fixing the recurrent dynamics and training only a linear readout. However, conventional reservoirs typically accommodate s…
Self-Healing Coordination in Cognitive Swarm Agents with Bloch-Type Perceptual Memory
Jyotiranjan Beuria
Reactive flocking models usually map current local observations directly to motion, leaving limited room for internal perceptual state to shape recovery after disruption. Building…
Non-Markovian Collective Motion from Self-Regulated Perceptual Dynamics
Jyotiranjan Beuria
Collective motion in active matter is usually modelled through instantaneous local alignment, where each agent updates its heading from the current configuration of its neighbours.…
Topological Flux on a Context Manifold Generates Nonreciprocal Collective Dynamics
Jyotiranjan Beuria, Venkatesh H. Chembrolu
Non-reciprocal interactions, where the influence of agent on differs from that of on , are fundamental in active and living matter. Yet, most models implement such a…
Topological Landscapes of the BSM Higgs Sector
Jyotiranjan Beuria
We explore the structure of the parameter space in the Singlet Scalar Dark Matter (SSDM) model and the Next-to-Two Higgs Doublet Model (N2HDM) with and . Pa…
Probing Invisible Decay of at Muon Collider with Topological Data Analysis and Machine Learning
Jyotiranjan Beuria
We explore the use of topological data analysis (TDA) combined with machine learning for discriminating standard model backgrounds from the invisible decay of the boson…