Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Luis Paulo Santos"'
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-11 (2024)
This article delves into the role of the quantum Fisher information matrix (FIM) in enhancing the performance of parameterized quantum circuit (PQC)-based reinforcement learning agents. While previous studies have highlighted the effectiveness of PQC
Externí odkaz:
https://doaj.org/article/e5050aba5e83488686c7b85f3d802c6c
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035037 (2024)
This research explores the trainability of Parameterized Quantum Circuit-based policies in Reinforcement Learning, an area that has recently seen a surge in empirical exploration. While some studies suggest improved sample complexity using quantum gr
Externí odkaz:
https://doaj.org/article/e73ce4fb161543efacc5d59b27b541e3
Publikováno v:
IEEE Access, Vol 9, Pp 125416-125427 (2021)
Reinforcement Learning is at the core of a recent revolution in Artificial Intelligence. Simultaneously, we are witnessing the emergence of a new field: Quantum Machine Learning. In the context of these two major developments, this work addresses the
Externí odkaz:
https://doaj.org/article/4c86c24cc6cf40f9bc7a67baed18eb69
Publikováno v:
IEEE Access, Vol 7, Pp 127012-127023 (2019)
This paper presents a new, heterogeneous CPU+GPU attacks against lattice-based (postquantum) cryptosystems based on the Shortest Vector Problem (SVP), a central problem in lattice-based cryptanalysis. To the best of our knowledge, this is the first S
Externí odkaz:
https://doaj.org/article/f7b9f10b104e4343bbf7648d7500db89
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f466ad1d6015e8f155fdfe7633ffd0e
https://doi.org/10.2139/ssrn.4444176
https://doi.org/10.2139/ssrn.4444176
Variational quantum circuits are being used as versatile quantum machine learning models. Some empirical results exhibit an advantage in supervised and generative learning tasks. However, when applied to reinforcement learning, less is known. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98d33981d388a964541741a1abc1bce3
http://arxiv.org/abs/2203.10591
http://arxiv.org/abs/2203.10591
Rendering photorealistic images is a costly process which can take up to several days in the case of high quality images. In most cases, the task of sampling the incident radiance function to evaluate the illumination integral is responsible for an i
Autor:
LUIS PAULO SANTOS VALENTE
[pt] A pervasividade em jogos pode ser reconhecida cada vez que as fronteiras do jogo se expandem do mundo virtual para o mundo real. Sensores, aparelhos móveis, redes de computadores e a internet tornam possível a existência dos jogos pervasivos.
Autor:
LUIS PAULO SANTOS VALENTE
Publikováno v:
Repositório Institucional da PUC_RIOPontifícia Universidade Católica do Rio de JaneiroPUC_RIO.
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JA
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JA
Autor:
LUIS PAULO SANTOS VALENTE
Publikováno v:
Repositório Institucional da PUC-RIO (Projeto Maxwell)
Pontifícia Universidade Católica do Rio de Janeiro (PUC-RIO)
instacron:PUC_RIO
Pontifícia Universidade Católica do Rio de Janeiro (PUC-RIO)
instacron:PUC_RIO
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO PROGRAMA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2645dd14e538c1e32d43e4ac5eb0a6e0
https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=28924@2
https://www.maxwell.vrac.puc-rio.br/colecao.php?strSecao=resultado&nrSeq=28924@2