Zobrazeno 1 - 10
of 362 168
pro vyhledávání: '"A, Lo"'
Continuous-variable (CV) codes and their application in quantum communication have attracted increasing attention. In particular, one typical CV codes, cat-codes, has already been experimentally created using trapped atoms in cavities with relatively
Externí odkaz:
http://arxiv.org/abs/2411.14757
Interacting or nonlinear lattices can host emergent particle-like modes, such as Bogoliubov quasiparticles, whose band topology and other properties are potentially highly tunable. Despite originating in the study of superconducting materials, Bogoli
Externí odkaz:
http://arxiv.org/abs/2411.13841
Autor:
Asai, Akari, He, Jacqueline, Shao, Rulin, Shi, Weijia, Singh, Amanpreet, Chang, Joseph Chee, Lo, Kyle, Soldaini, Luca, Feldman, Sergey, D'arcy, Mike, Wadden, David, Latzke, Matt, Tian, Minyang, Ji, Pan, Liu, Shengyan, Tong, Hao, Wu, Bohao, Xiong, Yanyu, Zettlemoyer, Luke, Neubig, Graham, Weld, Dan, Downey, Doug, Yih, Wen-tau, Koh, Pang Wei, Hajishirzi, Hannaneh
Scientific progress depends on researchers' ability to synthesize the growing body of literature. Can large language models (LMs) assist scientists in this task? We introduce OpenScholar, a specialized retrieval-augmented LM that answers scientific q
Externí odkaz:
http://arxiv.org/abs/2411.14199
The primary focus of this work is to investigate how the most emblematic classical probability density, namely a Gaussian, can be mapped to a valid quantum states. To explore this issue, we consider a Gaussian whose squared variance depends on a para
Externí odkaz:
http://arxiv.org/abs/2411.14043
Autor:
Zhang, Hui, Yang, Chengran, Mok, Wai-Keong, Wan, Lingxiao, Cai, Hong, Li, Qiang, Gao, Feng, Luo, Xianshu, Lo, Guo-Qiang, Chin, Lip Ket, Shi, Yuzhi, Thompson, Jayne, Gu, Mile, Liu, Ai Qun
Integrated photonic circuits play a crucial role in implementing quantum information processing in the noisy intermediate-scale quantum (NISQ) era. Variational learning is a promising avenue that leverages classical optimization techniques to enhance
Externí odkaz:
http://arxiv.org/abs/2411.12417
Autor:
Lo, Sharp C. Y., Zingaro, Alberto, McCullough, Jon W. S., Xue, Xiao, Vázquez, Mariano, Coveney, Peter V.
The circulatory system, comprising the heart and blood vessels, is vital for nutrient transport, waste removal, and homeostasis. Traditional computational models often isolate individual biophysical processes, such as cardiac electromechanics and blo
Externí odkaz:
http://arxiv.org/abs/2411.11797
Graph Neural Networks (GNNs) are powerful models that can manage complex data sources and their interconnection links. One of GNNs' main drawbacks is their lack of interpretability, which limits their application in sensitive fields. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2411.11391
Data contamination presents a critical barrier preventing widespread industrial adoption of advanced software engineering techniques that leverage code language models (CLMs). This phenomenon occurs when evaluation data inadvertently overlaps with th
Externí odkaz:
http://arxiv.org/abs/2411.10842
Due to the impressive code comprehension ability of Large Language Models (LLMs), a few studies have proposed to leverage LLMs to locate bugs, i.e., LLM-based FL, and demonstrated promising performance. However, first, these methods are limited in fl
Externí odkaz:
http://arxiv.org/abs/2411.10714
The rupture of a liquid film, where a thin liquid layer between two other fluids breaks and forms holes, commonly occurs in both natural phenomena and industrial applications. The post-rupture dynamics, from initial hole formation to the complete col
Externí odkaz:
http://arxiv.org/abs/2411.10562