Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Valle, Pablo"'
We introduce a variational algorithm based on Matrix Product States that is trained by minimizing a generalized free energy defined using Tsallis entropy instead of the standard Gibbs entropy. As a result, our model can generate the probability distr
Externí odkaz:
http://arxiv.org/abs/2409.08352
Stateflow models are widely used in the industry to model the high-level control logic of Cyber-Physical Systems (CPSs) in Simulink--the defacto CPS simulator. Many approaches exist to test Simulink models, but once a fault is detected, the process t
Externí odkaz:
http://arxiv.org/abs/2404.04688
Publikováno v:
Front. Quantum Sci. Technol. 3, 1321264 (2024)
The Quantum Approximate Optimization Algorithm (QAOA) is an algorithm originally proposed to find approximate solutions to Combinatorial Optimization problems on quantum computers. However, the algorithm has also attracted interest for sampling purpo
Externí odkaz:
http://arxiv.org/abs/2310.09172
Autonomous Driving Systems (ADSs) are complex Cyber-Physical Systems (CPSs) that must ensure safety even in uncertain conditions. Modern ADSs often employ Deep Neural Networks (DNNs), which may not produce correct results in every possible driving sc
Externí odkaz:
http://arxiv.org/abs/2310.07414
Elevator systems are one kind of Cyber-Physical Systems (CPSs), and as such, test cases are usually complex and long in time. This is mainly because realistic test scenarios are employed (e.g., for testing elevator dispatching algorithms, typically a
Externí odkaz:
http://arxiv.org/abs/2305.17803
Autor:
Díez-Valle, Pablo, Luis-Hita, Jorge, Hernández-Santana, Senaida, Martínez-García, Fernando, Díaz-Fernández, Álvaro, Andrés, Eva, García-Ripoll, Juan José, Sánchez-Martínez, Escolástico, Porras, Diego
Publikováno v:
Quantum Sci. Technol. 8, 045009 (2023)
Combinatorial optimization problems are ubiquitous in industry. In addition to finding a solution with minimum cost, problems of high relevance involve a number of constraints that the solution must satisfy. Variational quantum algorithms have emerge
Externí odkaz:
http://arxiv.org/abs/2302.04196
Real-world Cyber-Physical Systems (CPSs) are usually configurable. Through parameters, it is possible to configure, select or unselect different system functionalities. While this provides high flexibility, it also becomes a source for failures due t
Externí odkaz:
http://arxiv.org/abs/2301.01487
Publikováno v:
Phys. Rev. Lett. 130, 050601 (2023)
In this letter, we provide analytical and numerical evidence that the single-layer Quantum Approximate Optimization Algorithm (QAOA) on universal Ising spin models produces thermal-like states. We find that these pseudo-Boltzmann states can not be ef
Externí odkaz:
http://arxiv.org/abs/2201.03358
Publikováno v:
Phys. Rev. A 104, 062426 (2021)
Quantum variational optimization has been posed as an alternative to solve optimization problems faster and at a larger scale than what classical methods allow. In this paper we study systematically the role of entanglement, the structure of the vari
Externí odkaz:
http://arxiv.org/abs/2103.14479