Zobrazeno 1 - 10
of 2 680
pro vyhledávání: '"Nilotpal"'
Autor:
Hou, Changshun, Zhai, Ziwei, Choudhury, Nilotpal, Harris, Tom, Sahu, Jayanta K., Nilsson, Johan
A thulium-doped fiber laser operating quasi-continuous-wave generated 198 W of instantaneous output power in 0.2-ms pulses at 50 Hz repetition rate. The duty cycle becomes 1% and the average output power 2.0 W. This was cladding-pumped with 408 W fro
Externí odkaz:
http://arxiv.org/abs/2412.01793
Autor:
Kakati, Nilotpal, Dreyer, Etienne, Ivina, Anna, Di Bello, Francesco Armando, Heinrich, Lukas, Kado, Marumi, Gross, Eilam
In high energy physics, the ability to reconstruct particles based on their detector signatures is essential for downstream data analyses. A particle reconstruction algorithm based on learning hypergraphs (HGPflow) has previously been explored in the
Externí odkaz:
http://arxiv.org/abs/2410.23236
Accurately reconstructing particles from detector data is a critical challenge in experimental particle physics, where the spatial resolution of calorimeters has a crucial impact. This study explores the integration of super-resolution techniques int
Externí odkaz:
http://arxiv.org/abs/2409.16052
A crucial ingredient for scalable fault-tolerant quantum computing is the construction of logical qubits with low error rates and intrinsic noise protection. We propose a cross-platform construction for such hardware-level noise-protection in which t
Externí odkaz:
http://arxiv.org/abs/2409.13019
Autor:
Kobylianskii, Dmitrii, Soybelman, Nathalie, Kakati, Nilotpal, Dreyer, Etienne, Nachman, Benjamin, Gross, Eilam
The computational intensity of detector simulation and event reconstruction poses a significant difficulty for data analysis in collider experiments. This challenge inspires the continued development of machine learning techniques to serve as efficie
Externí odkaz:
http://arxiv.org/abs/2405.10106
Hardware-aware Neural Architecture Search approaches (HW-NAS) automate the design of deep learning architectures, tailored specifically to a given target hardware platform. Yet, these techniques demand substantial computational resources, primarily d
Externí odkaz:
http://arxiv.org/abs/2404.12403
Autor:
Reb, Jochen, Jha, Nilotpal
Publikováno v:
Management Decision, 2024, Vol. 62, Issue 11, pp. 3457-3472.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MD-06-2023-1097
Publikováno v:
Physical Review Letters 133 (20), 206604 (2024)
Spontaneous symmetry breaking and more recently entanglement are two cornerstones of quantum matter. We introduce the notion of anisotropic entanglement ordered phases, where the spatial profile of spin-pseudospin entanglement spontaneously lowers th
Externí odkaz:
http://arxiv.org/abs/2312.13362
Autor:
Sinha, Nilotpal, Shabayek, Abd El Rahman, Kacem, Anis, Rostami, Peyman, Shneider, Carl, Aouada, Djamila
Hardware-aware Neural Architecture Search (HW-NAS) is a technique used to automatically design the architecture of a neural network for a specific task and target hardware. However, evaluating the performance of candidate architectures is a key chall
Externí odkaz:
http://arxiv.org/abs/2311.03923