Zobrazeno 1 - 10
of 4 615
pro vyhledávání: '"P Chandrashekar"'
Preserving multipartite entanglement amidst decoherence poses a pivotal challenge in quantum information processing. Also the measurement of multipartite entanglement in mixed states amid decoherence presents a formidable task. Employing reservoir me
Externí odkaz:
http://arxiv.org/abs/2408.09801
It might be intuitive to expect that small or reimbursed financial loss resulting from credit or debit card fraud would have low or no financial impact on victims. However, little is known about the extent to which financial fraud impacts victims psy
Externí odkaz:
http://arxiv.org/abs/2408.08131
Autor:
Chandrashekar, Mayanka, Goethert, Ian, Haque, Md Inzamam Ul, McMahon, Benjamin, Dhaubhadel, Sayera, Knight, Kathryn, Erdos, Joseph, Reagan, Donna, Taylor, Caroline, Kuzmak, Peter, Gaziano, John Michael, McAllister, Eileen, Costa, Lauren, Ho, Yuk-Lam, Cho, Kelly, Tamang, Suzanne, Fodeh-Jarad, Samah, Ovchinnikova, Olga S., Justice, Amy C., Hinkle, Jacob, Danciu, Ioana
Objectives: This study aims to assess the impact of domain shift on chest X-ray classification accuracy and to analyze the influence of ground truth label quality and demographic factors such as age group, sex, and study year. Materials and Methods:
Externí odkaz:
http://arxiv.org/abs/2407.21149
We theoretically propose and experimentally demonstrate the use of a configurable four-qubit photonic system to generate a publicly verifiable quantum random numbers, to perform entanglement verification, and to generate a secure public and private k
Externí odkaz:
http://arxiv.org/abs/2406.07156
There currently exist two extreme viewpoints for neural network feature learning -- (i) Neural networks simply implement a kernel method (a la NTK) and hence no features are learned (ii) Neural networks can represent (and hence learn) intricate hiera
Externí odkaz:
http://arxiv.org/abs/2404.04312
Autor:
Cieslak, Mikolaj, Govindarajan, Umabharathi, Garcia, Alejandro, Chandrashekar, Anuradha, Hädrich, Torsten, Mendoza-Drosik, Aleksander, Michels, Dominik L., Pirk, Sören, Fu, Chia-Chun, Pałubicki, Wojciech
We present a specialized procedural model for generating synthetic agricultural scenes, focusing on soybean crops, along with various weeds. This model is capable of simulating distinct growth stages of these plants, diverse soil conditions, and rand
Externí odkaz:
http://arxiv.org/abs/2403.18351
Controlled quantum walk forms the basis for various quantum algorithm and quantum simulation schemes. Though theoretical proposals are also available to realize universal quantum computation using quantum walks, no experimental demonstration of unive
Externí odkaz:
http://arxiv.org/abs/2403.06665
Autor:
Babbar, Arpit, Chandrashekar, Praveen
We extend the fourth order, two stage Multi-Derivative Runge Kutta (MDRK) scheme to the Flux Reconstruction (FR) framework by writing both stages in terms of a time averaged flux and then using the approximate Lax-Wendroff procedure to compute the ti
Externí odkaz:
http://arxiv.org/abs/2403.02141
Autor:
Babbar, Arpit, Chandrashekar, Praveen
ADER (Arbitrary high order by DERivatives) and Lax-Wendroff (LW) schemes are two high order single stage methods for solving time dependent partial differential equations. ADER is based on solving a locally implicit equation to obtain a space-time pr
Externí odkaz:
http://arxiv.org/abs/2402.18937
Autor:
Babbar, Arpit, Chandrashekar, Praveen
Lax-Wendroff Flux Reconstruction (LWFR) is a single-stage, high order, quadrature free method for solving hyperbolic conservation laws. This work extends the LWFR scheme to solve conservation laws on curvilinear meshes with adaptive mesh refinement (
Externí odkaz:
http://arxiv.org/abs/2402.11926