Zobrazeno 1 - 10
of 24 070
pro vyhledávání: '"Shaul, A."'
Autor:
Zhou, Haoxin, Li, Eric, Godeneli, Kadircan, Zhang, Zi-Huai, Jahanbani, Shahin, Yu, Kangdi, Odeh, Mutasem, Aloni, Shaul, Griffin, Sinéad, Sipahigil, Alp
The evolution of superconducting quantum processors is driven by the need to reduce errors and scale for fault-tolerant computation. Reducing physical qubit error rates requires further advances in the microscopic modeling and control of decoherence
Externí odkaz:
http://arxiv.org/abs/2409.10626
Autor:
Scholes, Gregory D, Olaya-Castro, Alexandra, Mukamel, Shaul, Kirrander, Adam, Ni, Kang-Kuen, Hedley, Gordon, Frank, Natia
This document summarizes the context and main outcomes of the discussions that took place during the NSF-UKRI bilateral workshop on Quantum Information Science in Chemistry, held on 12-13 February 2024, in Alexandria, Virginia (US). The workshop was
Externí odkaz:
http://arxiv.org/abs/2409.04264
Autor:
Montorsi, Francesco, Mukamel, Shaul, Tamassia, Filippo, Garavelli, Marco, Segatta, Francesco, Nenov, Artur
We present an X-ray based stimulated Raman approach to control the preparation of optically dark electronic states in generic molecular systems. Leveraging on the unique properties of core-level excited states, we demonstrate that optically forbidden
Externí odkaz:
http://arxiv.org/abs/2408.04370
Autor:
Gat, Itai, Remez, Tal, Shaul, Neta, Kreuk, Felix, Chen, Ricky T. Q., Synnaeve, Gabriel, Adi, Yossi, Lipman, Yaron
Despite Flow Matching and diffusion models having emerged as powerful generative paradigms for continuous variables such as images and videos, their application to high-dimensional discrete data, such as language, is still limited. In this work, we p
Externí odkaz:
http://arxiv.org/abs/2407.15595
Autor:
Shaul-Ariel, Shahar, Weinshall, Daphna
Continual Learning is an unresolved challenge, whose relevance increases when considering modern applications. Unlike the human brain, trained deep neural networks suffer from a phenomenon called Catastrophic Forgetting, where they progressively lose
Externí odkaz:
http://arxiv.org/abs/2407.00673
We introduce IsraParlTweet, a new linked corpus of Hebrew-language parliamentary discussions from the Knesset (Israeli Parliament) between the years 1992-2023 and Twitter posts made by Members of the Knesset between the years 2008-2023, containing a
Externí odkaz:
http://arxiv.org/abs/2405.20269
Autor:
Batignani, Giovanni, Mai, Emanuele, Martinati, Miles, Neethish, Mohanan M., Mukamel, Shaul, Scopigno, Tullio
Due to their sub picosecond temporal resolution, coherent Raman spectroscopies have been proposed as a viable extension of Spontaneous Raman (SR) thermometry, to determine dynamics of mode specific vibrational energy content during out of equilibrium
Externí odkaz:
http://arxiv.org/abs/2405.00521
We provide a general condition under which e-variables in the form of a simple-vs.-simple likelihood ratio exist when the null hypothesis is a composite, multivariate exponential family. Such `simple' e-variables are easy to compute and expected-log-
Externí odkaz:
http://arxiv.org/abs/2404.19465
Autor:
Zemel, Shaul
Many interesting families of polynomials are indexed by permutations or related objects, and are defined by applying divided difference operators, modified by polynomials, on some initial base case. The fact that these constructions produce well-defi
Externí odkaz:
http://arxiv.org/abs/2404.19395
Media Storms, dramatic outbursts of attention to a story, are central components of media dynamics and the attention landscape. Despite their significance, there has been little systematic and empirical research on this concept due to issues of measu
Externí odkaz:
http://arxiv.org/abs/2404.09299