Zobrazeno 1 - 10
of 146 474
pro vyhledávání: '"Vu, An"'
Quantum emulators play an important role in the development and testing of quantum algorithms, especially given the limitations of the current FTQC era. Developing high-speed, memory-optimized quantum emulators is a growing research trend, with gate
Externí odkaz:
http://arxiv.org/abs/2410.11146
Autor:
Nguyen, Duc-Bao, Vu, Duc-Viet
We generalize previous diameter estimates and local non-vanishing of volumes for Kaehler metrics to the case of big cohomology classes. In our proof, among other things, we will prove a uniform diameter estimate for a family of smooth Kaehler metrics
Externí odkaz:
http://arxiv.org/abs/2410.18532
Autor:
Wang, Yuchen, Cianci, Cameron, Avdic, Irma, Dutta, Rishab, Warren, Samuel, Allen, Brandon, Vu, Nam P., Santos, Lea F., Batista, Victor S., Mazziotti, David A.
Hybrid quantum-classical computing algorithms offer significant potential for accelerating the calculation of the electronic structure of strongly correlated molecules. In this work, we present the first quantum simulation of conical intersections (C
Externí odkaz:
http://arxiv.org/abs/2410.18910
Autor:
Son, Guijin, Yoon, Dongkeun, Suk, Juyoung, Aula-Blasco, Javier, Aslan, Mano, Kim, Vu Trong, Islam, Shayekh Bin, Prats-Cristià, Jaume, Tormo-Bañuelos, Lucía, Kim, Seungone
Large language models (LLMs) are commonly used as evaluators in tasks (e.g., reward modeling, LLM-as-a-judge), where they act as proxies for human preferences or judgments. This leads to the need for meta-evaluation: evaluating the credibility of LLM
Externí odkaz:
http://arxiv.org/abs/2410.17578
Over the past two decades, tools from network science have been leveraged to characterize the organization of both structural and functional networks of the brain. One such measure of network organization is hub node identification. Hubs are speciali
Externí odkaz:
http://arxiv.org/abs/2410.17410
In this paper, for the first time in the literature, we study the stability of solutions of two classes of feasibility (i.e., split equality and split feasibility) problems by set-valued and variational analysis techniques. Our idea is to equivalentl
Externí odkaz:
http://arxiv.org/abs/2410.16856
Large Language Models (LLMs) have revolutionized natural language processing, but their application to speech-based tasks remains challenging due to the complexities of integrating audio and text modalities. This paper introduces Ichigo, a mixed-moda
Externí odkaz:
http://arxiv.org/abs/2410.15316
Image dehazing is crucial for clarifying images obscured by haze or fog, but current learning-based approaches is dependent on large volumes of training data and hence consumed significant computational power. Additionally, their performance is often
Externí odkaz:
http://arxiv.org/abs/2410.14595
Two-dimensional (2D) $\beta$-TeO$_2$ has gained attention as a promising material for optoelectronic and power device applications, thanks to its transparency and high hole mobility. However, the underlying mechanism behind its $p$-type conductivity
Externí odkaz:
http://arxiv.org/abs/2410.14100
The performance of large language models (LLMs) in natural language processing (NLP) tasks is significantly influenced by the quality and diversity of data used for supervised fine-tuning (SFT). Current data selection methods often focus solely on qu
Externí odkaz:
http://arxiv.org/abs/2410.12458