Zobrazeno 1 - 10
of 756
pro vyhledávání: '"Patel, Raj P."'
Publikováno v:
Revista Crítica de Ciências Sociais, Vol 128, Pp 183-188 (2022)
Externí odkaz:
https://doaj.org/article/63667e9108df457894d46a9044527776
Autor:
Li, Zhenghao, Kendall, Matthew J. H., Machado, Gerard J., Zhu, Ruidi, Mer, Ewan, Zhan, Hao, Zhang, Aonan, Yu, Shang, Walmsley, Ian A., Patel, Raj B.
Transition-Edge Sensors (TESs) are very effective photon-number-resolving (PNR) detectors that have enabled many photonic quantum technologies. However, their relatively slow thermal recovery time severely limits their operation rate in experimental
Externí odkaz:
http://arxiv.org/abs/2411.15360
Autor:
Yu, Shang, Jia, Zhian, Zhang, Aonan, Mer, Ewan, Li, Zhenghao, Crescimanna, Valerio, Chen, Kuan-Cheng, Patel, Raj B., Walmsley, Ian A., Kaszlikowski, Dagomir
At the dynamic nexus of artificial intelligence and quantum technology, quantum neural networks (QNNs) play an important role as an emerging technology in the rapidly developing field of quantum machine learning. This development is set to revolution
Externí odkaz:
http://arxiv.org/abs/2409.02533
Autor:
Patel, Raj, Arora, Nikhil, Courteau, Stéphane, Stone, Connor, Frosst, Matthew, Widrow, Lawrence
The Universal Rotation Curve (URC) of disk galaxies was originally proposed to predict the shape and amplitude of any rotation curve (RC) based solely on photometric data. Here, the URC is investigated with an extensive set of spatially-resolved rota
Externí odkaz:
http://arxiv.org/abs/2406.11987
The dark balance: quantifying the inner halo response to active galactic nuclei feedback in galaxies
Autor:
Arora, Nikhil, Courteau, Stephane, Maccio, Andrea V., Cho, Changhyun, Patel, Raj, Stone, Connor
This paper presents a study of the impact of supermassive black hole (SMBH) feedback on dark matter (DM) halos in numerical NIHAO simulations of galaxies. In particular, the amount of DM displaced via active galactic nuclei (AGN) feedback and the phy
Externí odkaz:
http://arxiv.org/abs/2403.02375
Recent work has found that few-shot sentence classification based on pre-trained Sentence Encoders (SEs) is efficient, robust, and effective. In this work, we investigate strategies for domain-specialization in the context of few-shot sentence classi
Externí odkaz:
http://arxiv.org/abs/2311.00408
Autor:
Patel, Raj N., Fishman, Rebecca E. K., Huang, Tzu-Yung, Gusdorff, Jordan A., Fehr, David A., Hopper, David A., Breitweiser, S. Alex, Porat, Benjamin, Flatté, Michael E., Bassett, Lee C.
Hexagonal boron nitride (h-BN) hosts pure single-photon emitters that have shown evidence of optically detected electronic spin dynamics. However, the electrical and chemical structure of these optically addressable spins is unknown, and the nature o
Externí odkaz:
http://arxiv.org/abs/2309.05604
Autor:
Patel, Raj G., Dominguez, Tomas, Dib, Mohammad, Palmer, Samuel, Cadarso, Andrea, Contreras, Fernando De Lope, Ratnani, Abdelkader, Casanova, Francisco Gomez, Hernández-Santana, Senaida, Díaz-Fernández, Álvaro, Andrés, Eva, Luis-Hita, Jorge, Sánchez-Martínez, Escolástico, Mugel, Samuel, Orus, Roman
The Cheyette model is a quasi-Gaussian volatility interest rate model widely used to price interest rate derivatives such as European and Bermudan Swaptions for which Monte Carlo simulation has become the industry standard. In low dimensions, these a
Externí odkaz:
http://arxiv.org/abs/2304.09750
Autor:
Arnquist, Isaac J., di Vacri, Maria Laura, Rocco, Nicole, Saldanha, Richard, Schlieder, Tyler, Patel, Raj, Patil, Jay, Perez, Mario, Uka, Harshad
Flexible printed cables and circuitry based on copper-polyimide materials are widely used in experiments looking for rare events due to their unique electrical and mechanical characteristics. However, past studies have found copper-polyimide flexible
Externí odkaz:
http://arxiv.org/abs/2303.10862
Autor:
Patel, Raj G., Hsing, Chia-Wei, Sahin, Serkan, Palmer, Samuel, Jahromi, Saeed S., Sharma, Shivam, Dominguez, Tomas, Tziritas, Kris, Michel, Christophe, Porte, Vincent, Abid, Mustafa, Aubert, Stephane, Castellani, Pierre, Mugel, Samuel, Orus, Roman
Recent advances in deep learning have enabled us to address the curse of dimensionality (COD) by solving problems in higher dimensions. A subset of such approaches of addressing the COD has led us to solving high-dimensional PDEs. This has resulted i
Externí odkaz:
http://arxiv.org/abs/2212.14076