Zobrazeno 1 - 10
of 18 108
pro vyhledávání: '"Vishwanath, A."'
Autor:
Rawte, Vipula, Jain, Sarthak, Sinha, Aarush, Kaushik, Garv, Bansal, Aman, Vishwanath, Prathiksha Rumale, Jain, Samyak Rajesh, Reganti, Aishwarya Naresh, Jain, Vinija, Chadha, Aman, Sheth, Amit P., Das, Amitava
Latest developments in Large Multimodal Models (LMMs) have broadened their capabilities to include video understanding. Specifically, Text-to-video (T2V) models have made significant progress in quality, comprehension, and duration, excelling at crea
Externí odkaz:
http://arxiv.org/abs/2411.10867
Autor:
Broyles, Christopher, Mardanya, Sougata, Liu, Mengke, Ahn, Junyeong, Dinh, Thao, Alqasseri, Gadeer, Garner, Jalen, Rehfuss, Zackary, Guo, Ken, Zhu, Jiahui, Martinez, David, Li, Du, Hao, Yiqing, Cao, Huibo, Boswell, Matt, Xie, Weiwei, Philbrick, Jeremy G., Kong, Tai, Yang, Li, Vishwanath, Ashvin, Kim, Philip, Xu, Su-Yang, Hoffman, Jennifer E., Denlinger, Jonathan D., Chowdhury, Sugata, Ran, Sheng
Since the initial discovery of two-dimensional van der Waals (vdW) materials, significant effort has been made to incorporate the three properties of magnetism, band structure topology, and strong electron correlations $-$ to leverage emergent quantu
Externí odkaz:
http://arxiv.org/abs/2411.08816
Autor:
Iqbal, Mohsin, Lyons, Anasuya, Lo, Chiu Fan Bowen, Tantivasadakarn, Nathanan, Dreiling, Joan, Foltz, Cameron, Gatterman, Thomas M., Gresh, Dan, Hewitt, Nathan, Holliman, Craig A., Johansen, Jacob, Neyenhuis, Brian, Matsuoka, Yohei, Mills, Michael, Moses, Steven A., Siegfried, Peter, Vishwanath, Ashvin, Verresen, Ruben, Dreyer, Henrik
The development of programmable quantum devices can be measured by the complexity of manybody states that they are able to prepare. Among the most significant are topologically ordered states of matter, which enable robust quantum information storage
Externí odkaz:
http://arxiv.org/abs/2411.04185
Autor:
Lyons, Anasuya, Lo, Chiu Fan Bowen, Tantivasadakarn, Nathanan, Vishwanath, Ashvin, Verresen, Ruben
Creating and manipulating anyons and symmetry defects in topological phases, especially those with a non-Abelian character, constitutes a primitive for topological quantum computation. We provide a physical protocol for implementing the ribbon operat
Externí odkaz:
http://arxiv.org/abs/2411.04181
Autor:
Chitty-Venkata, Krishna Teja, Raskar, Siddhisanket, Kale, Bharat, Ferdaus, Farah, Tanikanti, Aditya, Raffenetti, Ken, Taylor, Valerie, Emani, Murali, Vishwanath, Venkatram
Large Language Models (LLMs) have propelled groundbreaking advancements across several domains and are commonly used for text generation applications. However, the computational demands of these complex models pose significant challenges, requiring e
Externí odkaz:
http://arxiv.org/abs/2411.00136
Large language models have drastically changed the prospects of AI by introducing technologies for more complex natural language processing. However, current methodologies to train such LLMs require extensive resources including but not limited to la
Externí odkaz:
http://arxiv.org/abs/2410.21548
Stablecoins are a class of cryptocurrencies which aim at providing consistency and predictability, typically by pegging the token's value to that of a real world asset. Designing resilient decentralized stablecoins is a challenge, and prominent stabl
Externí odkaz:
http://arxiv.org/abs/2410.21446
Autor:
Divic, Stefan, Crépel, Valentin, Soejima, Tomohiro, Song, Xue-Yang, Millis, Andrew, Zaletel, Michael P., Vishwanath, Ashvin
The identification of novel mechanisms for superconductivity is a longstanding goal in theoretical physics. In this work, we argue that the combination of repulsive interactions and high magnetic fields can generate electron pairing, phase coherence
Externí odkaz:
http://arxiv.org/abs/2410.18175
Autor:
Vishwanath, Krithik, Stryker, Jaden, Alyakin, Anton, Alber, Daniel Alexander, Oermann, Eric Karl
Language models (LMs) have demonstrated expert-level reasoning and recall abilities in medicine. However, computational costs and privacy concerns are mounting barriers to wide-scale implementation. We introduce a parsimonious adaptation of phi-3-min
Externí odkaz:
http://arxiv.org/abs/2410.09019
Autor:
Barwey, Shivam, Balin, Riccardo, Lusch, Bethany, Patel, Saumil, Balakrishnan, Ramesh, Pal, Pinaki, Maulik, Romit, Vishwanath, Venkatram
This work develops a distributed graph neural network (GNN) methodology for mesh-based modeling applications using a consistent neural message passing layer. As the name implies, the focus is on enabling scalable operations that satisfy physical cons
Externí odkaz:
http://arxiv.org/abs/2410.01657