SearcharxivSearch

arXiv subjects

Yash Tiwari

Publications and source records attributed to Yash Tiwari.

8 recordsLinked to original sources

$L^p$ Asymptotics of the M\"obius Energy Density of Helix Curves

Motivated by the recent work of Lipton on the M\"obius energy of helix curves, we extend the study to the $L^p$ asymptotics of the meromorphic family \[ M_\rho(t) = \frac{\rho^2+1}{\rho^2 t^2 + 4 \sin^2(t/2)} - \frac{1}{t^2}. \] The helix has infinite M\"obius energy, but the arclength-rescaled energy density is finite. As $\rho \to 0$ the helix coils infinitely tight. Using contour integration and a careful Laurent expansion near the poles, we establish $I_p(\rho) := \left(\int_{-\infty}^\infty M_\rho(t)^p \, dt\right)^{1/p} \sim C_p \, \rho^{-(2-1/p)} $ for integer $p > 1$, extended to real $p > 1$, where $C_p$ is an explicit constant involving $\zeta(2p-1)$. The result gives the precise $L^p$ blowup rate of the M\"obius energy density as the pitch $\rho \to 0$. The borderline case $p=1$ yields a logarithmic correction $I_1(\rho) \sim \log(1/\rho)/\rho$, recovering Lipton's main theorem. We derive a quantitative coiling barrier. Numerical verification confirms the scaling exponent to high precision.

math.DG

OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases

Ontologies are pivotal for structuring knowledge bases to enhance question answering (QA) systems powered by Large Language Models (LLMs). However, traditional ontology creation relies on manual efforts by domain experts, a process that is time intensive, error prone, and impractical for large, dynamic knowledge domains. This paper introduces OntoRAG, an automated pipeline designed to derive ontologies from unstructured knowledge bases, with a focus on electrical relay documents. OntoRAG integrates advanced techniques, including web scraping, PDF parsing, hybrid chunking, information extraction, knowledge graph construction, and ontology creation, to transform unstructured data into a queryable ontology. By leveraging LLMs and graph based methods, OntoRAG enhances global sensemaking capabilities, outperforming conventional Retrieval Augmented Generation (RAG) and GraphRAG approaches in comprehensiveness and diversity. Experimental results demonstrate OntoRAGs effectiveness, achieving a comprehensiveness win rate of 85% against vector RAG and 75% against GraphRAGs best configuration. This work addresses the critical challenge of automating ontology creation, advancing the vision of the semantic web.

cs.AI

Radical Pair Mechanism and the Role of Chirality-Induced Spin Selectivity during Planaria Regeneration: Effect of Weak Magnetic Field on ROS levels

Planarian is an intriguing model system wherein the effect of electric and magnetic fields can be studied on various biochemical pathways during cell morphogenesis. Recent experimental observations have demonstrated the non-trivial modulation of reactive oxygen species (ROS) levels by a weak magnetic field during planaria regeneration. However, the underlying biophysical mechanism behind this remains elusive. In this paper, we study the radical pair mechanism to explain the effect of weak magnetic fields on ROS modulation during planaria regeneration to explain the experimental results. We also investigate the effect of chirality-induced spin selectivity (CISS) on ROS levels by including it in the framework of the radical pair mechanism. We conclude that the inclusion of CISS explains the experimental results better and allows the radical pair model to have more parametric space to satisfy the experimental constraints. This study explains the crucial process of ROS modulation by the weak magnetic field with and without CISS, thereby paving the way to unraveling the vast domain of ROS modulation for desired outcomes.

physics.bio-ph

Regression Based Anomaly Detection in Electric Vehicle State of Charge Fluctuations Through Analysis of EVCI Data

With the increase in the number of electric vehicles (EV), there is a need for the development of the EV charging infrastructure (EVCI) to facilitate fast charging, thereby mitigating the EV congestion at charging stations. The role of the public charging station depot is to charge the vehicle, prioritizing the achievement of the desired state of charge (SoC) value for the EV battery or charging till the departure of the EV, whichever occurs first. The integration of cyber and physical components within EVCI defines it as a cyber physical power system (CPPS), increasing its vulnerability to diverse cyber attacks. When an EV interfaces with the EVCI, mutual exchange of data takes place via various communication protocols like the Open Charge Point Protocol (OCPP), and IEC 61850. Unauthorized access to this data by intruders leads to cyber attacks, potentially resulting in consequences like energy theft, and revenue loss. These scenarios may cause the EVCI to incur higher charges than the actual energy consumed or the EV owners to remit payments that do not correspond adequately to the amount of energy they have consumed. This article proposes an EVCI architecture connected to the utility grid and uses the EVCI data to identify the anomalies or outliers present in the EV transmitted data, particularly focusing on SoC irregularities.

eess.SP

Chiral-induced spin selectivity augments quantum coherence in avian compass

This work investigates the effect of chiral-induced spin selectivity (CISS) on quantum spin coherence in the radical pair mechanism of avian magnetoreception. Additionally, we examine the utilitarian role of coherence for the avian compass by analyzing its correlation with the yield of the signaling state. We find that both the relative entropy of global coherence and local coherence in the radical pair increases with CISS. However, only global coherence exhibit the utilitarian role for the avian compass. We also analyze the interplay of dipolar interaction with the CISS and their effect on the coherence of the radical pair. Further, we analyze the effect of environmental decoherence along with CISS. We conclude that a high CISS results in a high correlation of global coherence with signaling state yield. It confirms that CISS plays an important role both for compass sensitivity and coherence in the avian compass.

quant-ph

Role of CISS in the Radical Pair Model of Avian Magnetoreception

In this paper, we investigate the effect of chiral-induced spin selectivity (CISS) on the radical pair model of avian magnetoreception. We examine the impact of spin selectivity on the avian compass sensitivity. In this analysis, we also consider the dipolar and exchange interactions and observe their interplay with CISS. We find that CISS results in multifold increase in avian compass sensitivity. Interestingly, we also observe that CISS can counter the deleterious effect of dipolar interaction and increase system sensitivity.The analysis has been performed for both the toy model (only 1 nucleus) and a more general case where we consider 4-nuclei from the cryptochrome radical pair system. We observe that the CISS allows the radical pair model to have a more realistic rate with good sensitivity. We also do analysis of functional window of avian compass reported in behavioral experiments in functional window. We could not find a parameter set where functional window can be observed along with CISS.

physics.bio-ph

Impact of AC Magnetic Field on Decoherence of Quantum Dot based Single Spin Qubit System

Quantum dot-based spin qubits are resilient towards charge noise and are affected by magnetic noise only. However, environmental interaction leads to decoherence in these qubit systems. The external control parameters are directly related to the magnitude of decoherence. This in turn limits the range of values of those parameters for which operations can be done with high fidelity. In this work, using a model of quantum dot spin qubit system, we investigate the impact of varying ac magnetic fields on suppression of decoherence. We report an increment in the usable range of static magnetic field value using our technique.

cond-mat.mes-hall

Quantum dot-based high-fidelity universal quantum gates in noisy environment

Quantum dot-based spin qubit realization is one of the most promising quantum computing systems owing to its integrability with classical computation hardware and its versatility in realizing qubits and quantum gates. In this work, we investigate a quantum dot-based universal set of quantum gates (single qubit gates and the Toffoli gate) in the presence of hyperfine fluctuation noise and phononic charge noise. We model the spin dynamics and noise processes in the NOT gate, Hadamard gate and the Toffoli gate using the Lindblad master equation formalism to estimate the operating ranges of the external static and ac magnetic fields to achieve high fidelity operation of these gates in a noisy environment. In addition, the generality of the framework proposed in this paper enables modeling of larger quantum processors based on spin qubits in realistic conditions.

quant-ph