Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Román Orús"'
Autor:
Saeed S. Jahromi, Max Hörmann, Patrick Adelhardt, Sebastian Fey, Hooman Karamnejad, Román Orús, Kai Phillip Schmidt
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract We use tensor-network methods and high-order linked-cluster expansions to explore the quantum phase diagram of the antiferromagnetic Kitaev honeycomb model in a magnetic field for general spin S values. Tensor network calculations for the pu
Externí odkaz:
https://doaj.org/article/adb91e0e59a54eb792bd322a553db9f5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract This article introduces a novel approach to perform the simulation of a single qubit quantum-inspired algorithm using laser beams. Leveraging the polarization states of photonic qubits, and inspired by variational quantum eigensolvers, we de
Externí odkaz:
https://doaj.org/article/308acaeea4e74bffa9d19e2158bdd745
Autor:
Saeed S. Jahromi, Román Orús
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Deep neural networks (NNs) encounter scalability limitations when confronted with a vast array of neurons, thereby constraining their achievable network depth. To address this challenge, we propose an integration of tensor networks (TN) into
Externí odkaz:
https://doaj.org/article/fcd1013a4c8240fc92f2a7b00e13a5a5
Autor:
Antonio deMarti iOlius, Patricio Fuentes, Román Orús, Pedro M. Crespo, Josu Etxezarreta Martinez
Publikováno v:
Quantum, Vol 8, p 1498 (2024)
Quantum technologies have the potential to solve certain computationally hard problems with polynomial or super-polynomial speedups when compared to classical methods. Unfortunately, the unstable nature of quantum information makes it prone to errors
Externí odkaz:
https://doaj.org/article/039405796d054e2691f71acca3bb07c9
Autor:
Pablo Bermejo, Román Orús
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract Here we present a quantum algorithm for clustering data based on a variational quantum circuit. The algorithm allows to classify data into many clusters, and can easily be implemented in few-qubit Noisy Intermediate-Scale Quantum devices. Th
Externí odkaz:
https://doaj.org/article/9eb0a68c38c64922af8a8a5060460ba2
Autor:
Pablo Bermejo, Román Orús
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-5 (2023)
Abstract Current universal quantum computers have a limited number of noisy qubits. Because of this, it is difficult to use them to solve large-scale complex optimization problems. In this paper we tackle this issue by proposing a quantum optimizatio
Externí odkaz:
https://doaj.org/article/c76cced01b1b4e38b35421687863e80d
Autor:
Román Orús, Juan Uriagereka
Publikováno v:
Revista Española de Lingüística, Vol 51, Iss 2, Pp 79-92 (2021)
«Matrix syntax» es un modelo formal de relaciones sintácticas en el lenguaje. La estructura matemática resultante se asemeja a algunos aspectos de la mecánica cuántica. «Matrix syntax» nos permite describir una serie de fenómenos del lenguaj
Externí odkaz:
https://doaj.org/article/5788b2a3bab6415299b6be46ca9b396b
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
Abstract In this paper we propose a hybrid quantum-classical algorithm for dynamic portfolio optimization with minimal holding period. Our algorithm is based on sampling the near-optimal portfolios at each trading step using a quantum processor, and
Externí odkaz:
https://doaj.org/article/dd7bef03db5b4ec392adf0627cfeb5f1
Autor:
Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata, José D. Martín-Guerrero, Enrique Lizaso, Samuel Mugel, Xi Chen, Román Orús, Enrique Solano, Mikel Sanz
Publikováno v:
Entropy, Vol 25, Iss 2, p 323 (2023)
The prediction of financial crashes in a complex financial network is known to be an NP-hard problem, which means that no known algorithm can efficiently find optimal solutions. We experimentally explore a novel approach to this problem by using a D-
Externí odkaz:
https://doaj.org/article/50924b601ec24730b01882f2c2193d9d
Autor:
Samuel Mugel, Carlos Kuchkovsky, Escolástico Sánchez, Samuel Fernández-Lorenzo, Jorge Luis-Hita, Enrique Lizaso, Román Orús
Publikováno v:
Physical Review Research, Vol 4, Iss 1, p 013006 (2022)
In this paper we tackle the problem of dynamic portfolio optimization, i.e., determining the optimal trading trajectory for an investment portfolio of assets over a period of time, taking into account transaction costs and other possible constraints.
Externí odkaz:
https://doaj.org/article/dcc0d10b15734f83beb4681c4879f631