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pro vyhledávání: '"Cetina A"'
The investigation of strongly-correlated quantum matter is challenging due to the curse of dimensionality and complex entanglement structures. This complexity is especially pronounced in the vicinity of continuous quantum phase transitions, where qua
Externí odkaz:
http://arxiv.org/abs/2412.18602
Simulating non-equilibrium phenomena in strongly-interacting quantum many-body systems, including thermalization, is a promising application of near-term and future quantum computation. By performing experiments on a digital quantum computer consisti
Externí odkaz:
http://arxiv.org/abs/2408.00069
Autor:
Pérez, Carlos, Verón, Javier, Pérez, Francisca, Moraga, M Ángeles, Calero, Coral, Cetina, Carlos
The total energy cost of computing activities is steadily increasing and projections indicate that it will be one of the dominant global energy consumers in the coming decades. However, perhaps due to its relative youth, the video game sector has not
Externí odkaz:
http://arxiv.org/abs/2402.06346
Publikováno v:
iForest - Biogeosciences and Forestry, Vol 10, Iss 1, Pp 115-120 (2017)
Production of forest seedlings is expensive mainly due to the use of inputs such as peat moss and fertilizers. Seedling survival in field conditions is low when seedlings with limited internal nutrient reserves are used in low fertility sites. In thi
Externí odkaz:
https://doaj.org/article/09c807a445ce43bd8b1c7889f5177218
Quantum states can quickly decohere through interaction with the environment. Quantum error correction is a method for preserving coherence through active feedback. Quantum error correction encodes the quantum information into a logical state with a
Externí odkaz:
http://arxiv.org/abs/2312.10851
Today, the large number of players and the high computational requirements of video games have motivated research on Green Video Games. We present a survey that provides an overview of this recent research area. A total of 2,637 papers were reviewed,
Externí odkaz:
http://arxiv.org/abs/2312.09053
Video games demand is constantly increasing, which requires the costly production of large amounts of content. Towards this challenge, researchers have developed Search-Based Procedural Content Generation (SBPCG), that is, the (semi-)automated creati
Externí odkaz:
http://arxiv.org/abs/2311.04710
In this paper, we propose a methodology to align a medium-sized GPT model, originally trained in English for an open domain, to a small closed domain in Spanish. The application for which the model is finely tuned is the question answering task. To a
Externí odkaz:
http://arxiv.org/abs/2303.17649
Autor:
Uc-Cetina, Victor
An increasing number of software companies have already realized the importance of storing project-related data as valuable sources of information for training prediction models. Such kind of modeling opens the door for the implementation of tailored
Externí odkaz:
http://arxiv.org/abs/2303.03482
Autonomous navigation is challenging for mobile robots, especially in an unknown environment. Commonly, the robot requires multiple sensors to map the environment, locate itself, and make a plan to reach the target. However, reinforcement learning me
Externí odkaz:
http://arxiv.org/abs/2302.09120