Zobrazeno 1 - 10
of 19 849
pro vyhledávání: '"P Radhakrishnan"'
We discuss a general method to prove quantitative improvements on correlation inequalities and apply it to arm estimates for Bernoulli bond percolation on the square lattice. Our first result is that the two-arm exponent is strictly larger than twice
Externí odkaz:
http://arxiv.org/abs/2410.23250
We use phase space distributions specifically, the Wigner distribution (WD) and Husimi distribution (HD) to investigate certain information-theoretic measures as descriptors for a given system. We extensively investigate and analyze Shannon, Wehrl an
Externí odkaz:
http://arxiv.org/abs/2410.16338
Transformers exhibit In-Context Learning (ICL), where these models solve new tasks by using examples in the prompt without additional training. In our work, we identify and analyze two key components of ICL: (1) context-scaling, where model performan
Externí odkaz:
http://arxiv.org/abs/2410.12783
We introduce a monotone to quantify the amount of non-stabilizerness (or magic for short), in an arbitrary quantum state. The monotone gives a necessary and sufficient criterion for detecting the presence of magic for both pure and mixed states. The
Externí odkaz:
http://arxiv.org/abs/2409.18570
Autor:
Radhakrishnan, P., Rabinovich, K. S., Boris, A. V., Fürsich, K., Minola, M., Christiani, G., Logvenov, G., Keimer, B., Benckiser, E.
Perovskites with the generic composition ABO$_3$ exhibit an enormous variety of quantum states such as magnetism, orbital order, ferroelectricity and superconductivity. Their flexible and comparatively simple structure allows for facile chemical subs
Externí odkaz:
http://arxiv.org/abs/2409.12871
Autor:
Wilfong, Benjamin, Radhakrishnan, Anand, Berre, Henry A. Le, Abbott, Steve, Budiardja, Reuben D., Bryngelson, Spencer H.
GPUs are the heart of the latest generations of supercomputers. We efficiently accelerate a compressible multiphase flow solver via OpenACC on NVIDIA and AMD Instinct GPUs. Optimization is accomplished by specifying the directive clauses 'gang vector
Externí odkaz:
http://arxiv.org/abs/2409.10729
Autor:
Wang, Z., Bannister, K. W., Gupta, V., Deng, X., Pilawa, M., Tuthill, J., Bunton, J. D., Flynn, C., Glowacki, M., Jaini, A., Lee, Y. W. J., Lenc, E., Lucero, J., Paek, A., Radhakrishnan, R., Thyagarajan, N., Uttarkar, P., Wang, Y., Bhat, N. D. R., James, C. W., Moss, V. A., Murphy, Tara, Reynolds, J. E., Shannon, R. M., Spitler, L. G., Tzioumis, A., Caleb, M., Deller, A. T., Gordon, A. C., Marnoch, L., Ryder, S. D., Simha, S., Anderson, C. S., Ball, L., Brodrick, D., Cooray, F. R., Gupta, N., Hayman, D. B., Ng, A., Pearce, S. E., Phillips, C., Voronkov, M. A., Westmeier, T.
We present the first results from a new backend on the Australian Square Kilometre Array Pathfinder, the Commensal Realtime ASKAP Fast Transient COherent (CRACO) upgrade. CRACO records millisecond time resolution visibility data, and searches for dis
Externí odkaz:
http://arxiv.org/abs/2409.10316
Autor:
Radhakrishnan, Prashanth, Chen, Jennifer, Xu, Bo, Ramaswami, Prem, Pho, Hannah, Olmos, Adriana, Manyika, James, Guha, R. V.
Large Language Models (LLMs) are prone to generating factually incorrect information when responding to queries that involve numerical and statistical data or other timely facts. In this paper, we present an approach for enhancing the accuracy of LLM
Externí odkaz:
http://arxiv.org/abs/2409.13741
Autor:
Shi, Min, Liu, Fuxiao, Wang, Shihao, Liao, Shijia, Radhakrishnan, Subhashree, Huang, De-An, Yin, Hongxu, Sapra, Karan, Yacoob, Yaser, Shi, Humphrey, Catanzaro, Bryan, Tao, Andrew, Kautz, Jan, Yu, Zhiding, Liu, Guilin
The ability to accurately interpret complex visual information is a crucial topic of multimodal large language models (MLLMs). Recent work indicates that enhanced visual perception significantly reduces hallucinations and improves performance on reso
Externí odkaz:
http://arxiv.org/abs/2408.15998
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