Zobrazeno 1 - 10
of 14 044
pro vyhledávání: '"A. Chandrashekhar"'
Autor:
Goncalves, Lucas, Mathur, Prashant, Lavania, Chandrashekhar, Cekic, Metehan, Federico, Marcello, Han, Kyu J.
Recent advancements in audio-visual generative modeling have been propelled by progress in deep learning and the availability of data-rich benchmarks. However, the growth is not attributed solely to models and benchmarks. Universally accepted evaluat
Externí odkaz:
http://arxiv.org/abs/2404.07336
Autor:
K., Victor Sam Moses Babu, Nayak, Sidharthenee, Dwivedi, Divyanshi, Chakraborty, Pratyush, Bhende, Chandrashekhar Narayan, Yemula, Pradeep Kumar, Pal, Mayukha
Faults on electrical power lines could severely compromise both the reliability and safety of power systems, leading to unstable power delivery and increased outage risks. They pose significant safety hazards, necessitating swift detection and mitiga
Externí odkaz:
http://arxiv.org/abs/2403.05995
Autor:
K., Victor Sam Moses Babu, Nayak, Sidharthenee, Dwivedi, Divyanshi, Chakraborty, Pratyush, Bhende, Chandrashekhar Narayan, Yemula, Pradeep Kumar, Pal, Mayukha
Electrical fault classification is vital for ensuring the reliability and safety of power systems. Accurate and efficient fault classification methods are essential for timely and effective maintenance. In this paper, we propose a novel approach for
Externí odkaz:
http://arxiv.org/abs/2403.05991
Autor:
Song, Xingrui, Salvati, Flavio, Gaikwad, Chandrashekhar, Halpern, Nicole Yunger, Arvidsson-Shukur, David R. M., Murch, Kater
Publikováno v:
Phys. Rev. Lett. 132, 260801 (2024)
The goal of quantum metrology is to improve measurements' sensitivities by harnessing quantum resources. Metrologists often aim to maximize the quantum Fisher information, which bounds the measurement setup's sensitivity. In studies of fundamental li
Externí odkaz:
http://arxiv.org/abs/2403.00054
Autor:
Gaikwad, Chandrashekhar, Kowsari, Daria, Brame, Carson, Song, Xingrui, Zhang, Haimeng, Esposito, Martina, Ranadive, Arpit, Cappelli, Giulio, Roch, Nicolas, Levenson-Falk, Eli M., Murch, Kater W.
We utilize a superconducting qubit processor to experimentally probe non-Markovian dynamics of an entangled qubit pair. We prepare an entangled state between two qubits and monitor the evolution of entanglement over time as one of the qubits interact
Externí odkaz:
http://arxiv.org/abs/2401.13735
This work builds on earlier work of the first three authors where a notion of congruence modules in higher codimension is introduced. The main new results are a criterion for detecting regularity of local rings in terms of congruence modules, and a m
Externí odkaz:
http://arxiv.org/abs/2311.13070
Autor:
Sharma, Shivika, Mawane, Nandini, M, Dhruthick Gowda, Taware, Mayur, Kumar, Chetan, Dixit, Yash Chandrashekhar, Ramesh, Rakshit
This paper presents an effective framework for estimating time of arrival of vehicles (buses) in an Intelligent Transit Management System (ITMS) having sparse position updates. Our contributions towards this is firstly in implementing a constrained o
Externí odkaz:
http://arxiv.org/abs/2311.12758
This article proposes entropy stable discontinuous Galerkin schemes (DG) for two-fluid relativistic plasma flow equations. These equations couple the flow of relativistic fluids via electromagnetic quantities evolved using Maxwell's equations. The pr
Externí odkaz:
http://arxiv.org/abs/2310.09566
We present a unified approach for designing a diverse range of superconducting non-reciprocal components, including circulators, isolators, and uni-directional amplifiers, based on temporally-modulated coupled resonator networks. Our method leverages
Externí odkaz:
http://arxiv.org/abs/2307.01853