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Variational Quantum Algorithms (VQAs) have emerged as promising methods for tackling complex problems on near-term quantum devices. Among these algorithms, the Variational Quantum Linear Solver (VQLS) addresses linear systems of the form $Ax=b$, aimi
Externí odkaz:
http://arxiv.org/abs/2409.06339
Autor:
Foderà, Simone, Turati, Gloria, Nembrini, Riccardo, Dacrema, Maurizio Ferrari, Cremonesi, Paolo
Variational Quantum Algorithms have emerged as promising tools for solving optimization problems on quantum computers. These algorithms leverage a parametric quantum circuit called ansatz, where its parameters are adjusted by a classical optimizer wi
Externí odkaz:
http://arxiv.org/abs/2409.05475
In recent years, Variational Quantum Algorithms (VQAs) have emerged as a promising approach for solving optimization problems on quantum computers in the NISQ era. However, one limitation of VQAs is their reliance on fixed-structure circuits, which m
Externí odkaz:
http://arxiv.org/abs/2308.01789
Recently proposed systems aim at achieving privacy using locality-sensitive hashing. We show how these approaches fail by presenting attacks against two such systems: Google's FLoC proposal for privacy-preserving targeted advertising and the MinHash
Externí odkaz:
http://arxiv.org/abs/2302.13635
Autor:
Silvia Maria Cintra da Silva, Camila Turati Pessoa, Gustavo Antônio Rodrigues Leite, Marlon de Oliveira Cunha, Sofia D Agostino Mascarin
Publikováno v:
Obutchénie, Vol 8, Pp 1-26 (2024)
Em estreita e profícua interlocução com a Educação, a Psicologia Escolar e Educacional tem adentrado o campo do Ensino Superior, notadamente neste século. Neste artigo apresentamos uma proposta de Estágio em Psicologia Escolar, com a participa
Externí odkaz:
https://doaj.org/article/85a09bd3022b4069918712ae5f88ef86
Publikováno v:
Proceedings of the 2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
Feature selection is of great importance in Machine Learning, where it can be used to reduce the dimensionality of classification, ranking and prediction problems. The removal of redundant and noisy features can improve both the accuracy and scalabil
Externí odkaz:
http://arxiv.org/abs/2211.02861
Autor:
Nicola Pugliese, Francesca Romana Ponziani, Federica Cerini, Luca di Tommaso, Federica Turati, Marco Maggioni, Matteo Angelo Manini, Francesco Santopaolo, Cristiana Bianco, Chiara Masetti, Maria Cristina Giustiniani, Carlo La Vecchia, Luca Valenti, Luigi Terracciano, Mauro Viganò, Alessio Aghemo
Publikováno v:
JHEP Reports, Vol 6, Iss 9, Pp 101150- (2024)
Background & Aims: Porto-sinusoidal vascular disorder (PSVD) is a group of vascular disorders characterized by lesions involving portal venules and sinusoids, irrespective of the presence of portal hypertension. Liver biopsy is essential for diagnosi
Externí odkaz:
https://doaj.org/article/23b5bddd80944f699d906b54fb90b727
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Triple-negative breast cancer (TNBC) represents a major therapeutic challenge due to its heterogeneous and aggressive phenotype, and limited target-specific treatment options. The trophoblast cell surface antigen (Trop-2), a transmembrane glycoprotei
Externí odkaz:
https://doaj.org/article/adca9cc092b84af8a17406c74153307d
Autor:
Andrea Riganti, Marco Bigoni, Edoardo Pierpaoli, Marco Caliandro, Daniele Piscitelli, Nicolas Nicolaou, Luca Rigamonti, Marco Turati
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35353- (2024)
Purpose: Over the last two decades the incidence of meniscal injuries has grown amongst the pediatric population predominantly due to greater involvement in sporting activities. The treatment and the natural history represent a socioeconomic burden f
Externí odkaz:
https://doaj.org/article/3e895dc0011f49a08eda2709e66ed3c9
Autor:
Apicella, Valerio1 (AUTHOR) alessandro.turati@movyon.com, Turati, Alessandro1 (AUTHOR), Megna, Giovanni1 (AUTHOR), Carambia, Benedetto1 (AUTHOR)
Publikováno v:
Energies (19961073). Aug2024, Vol. 17 Issue 16, p3922. 20p.