Zobrazeno 1 - 10
of 269
pro vyhledávání: '"Campos, Roberto"'
This paper presents a new hybrid Quantum Machine Learning (QML) model composed of three elements: a classical computer in charge of the data preparation and interpretation; a Gate-based Quantum Computer running the Variational Quantum Algorithm (VQA)
Externí odkaz:
http://arxiv.org/abs/2410.18618
Autor:
Campos, Roberto
This thesis explores hybrid algorithms that combine classical and quantum computing to enhance the performance of classical algorithms. Two approaches are studied: a hybrid search and sample optimization algorithm and a classical algorithm that asses
Externí odkaz:
http://arxiv.org/abs/2406.12371
Advancements in gravitational-wave interferometers, particularly the next generation, are poised to profoundly impact gravitational wave astronomy and multimessenger astrophysics. A hybrid quantum algorithm is proposed to carry out quantum inference
Externí odkaz:
http://arxiv.org/abs/2403.00846
Publikováno v:
Classical and Quantum Gravity 40(4) 045001, 2023
After the first detection of a gravitational wave in 2015, the number of successes achieved by this innovative way of looking through the universe has not stopped growing. However, the current techniques for analyzing this type of events present a se
Externí odkaz:
http://arxiv.org/abs/2208.05506
Publikováno v:
Quantum Machine Intelligence 5, 2023
The efficient resolution of optimization problems is one of the key issues in today's industry. This task relies mainly on classical algorithms that present scalability problems and processing limitations. Quantum computing has emerged to challenge t
Externí odkaz:
http://arxiv.org/abs/2207.06462
Autor:
Delgado, Alain, Casares, Pablo A. M., Reis, Roberto dos, Zini, Modjtaba Shokrian, Campos, Roberto, Cruz-Hernández, Norge, Voigt, Arne-Christian, Lowe, Angus, Jahangiri, Soran, Martin-Delgado, M. A., Mueller, Jonathan E., Arrazola, Juan Miguel
Publikováno v:
Phys. Rev. A 106, 032428 (2022)
There is a pressing need to develop new rechargeable battery technologies that can offer higher energy storage, faster charging, and lower costs. Despite the success of existing methods for the simulation of battery materials, they can sometimes fall
Externí odkaz:
http://arxiv.org/abs/2204.11890
Publikováno v:
Quantum 6, 768 (2022)
Quantum Phase Estimation is one of the most useful quantum computing algorithms for quantum chemistry and as such, significant effort has been devoted to designing efficient implementations. In this article, we introduce TFermion, a library designed
Externí odkaz:
http://arxiv.org/abs/2110.05899
Autor:
Wolken, Madeline, Wang, Michael, Schedler, Julia, Campos, Roberto H., Jr, Ensor, Katherine, Hopkins, Loren, Treangen, Todd, Stadler, Lauren B.
Publikováno v:
In Science of the Total Environment 25 June 2024 931
