Envíos recientes
Simulation-Based Optimization of the 3Rs in Circular Construction Using Integrated Digital Twins and Multi-agent Reinforcement Learning
(Springer, 2026-02-03) Andres, B.; Tobon, Sandra; Torres, Marta; Departamento de Organización de Empresas; Centro de Investigación en Gestión e Ingeniería de Producción; Escuela Politécnica Superior de Alcoy; Comunidad de Madrid; COMISION DE LAS COMUNIDADES EUROPEA
[EN] Achieving a circular construction industry requires reducing waste, reusing materials, and recycling resources (the 3Rs). However, traditional methods for implementing these goals mostly depend on static strategies that do not adapt to changes in demand or resource availability. This paper proposes an approach that integrates Digital Twins (DTs) and Multi-Agent Reinforcement Learning (MARL) to optimize the 3Rs dynamically and collaboratively. The DTs continuously sim-ulate construction processes, enabling real-time monitoring of waste generation, costs, and energy consumption. Meanwhile, multiple agents learn actions, via deep reinforcement learning, that jointly minimize material waste while balanc-ing cost and carbon footprint targets. The synergy between MARL and DT is demonstrated through a simulated scenario inwhicheachagentspecializesindifferentinterventions(e.g.,recycling,scheduling,logistics).Resultsshowthatthisintegratedapproachoutperformsbaselinestrategies,nointervention(No-Op)andrandomactions,significantlyreducingaveragewasteandimprovingrecyclingrates.Theseresultshighlightthepotentialofintelligent,data-drivenframeworkstoadvancesustainabilityintheconstructionindustry,pavingthewayforlarge-scaleadoptionofcirculareconomyprinciples.
An accurate and efficient analytical model of fidelity under depolarizing noise oriented to large scale quantum system design
(IOP Publishing, 2025-10-01) GARCIA ALMUDEVER, CARMEN; Rodrigo, Santiago; García-Sáez, Artur; Alarcón, Eduard; Abadal, Sergi; Departamento de Informática de Sistemas y Computadores; Escuela Técnica Superior de Ingeniería Informática; Grupo de Arquitecturas Paralelas; Banco Santander; European Commission; UNIVERSITAT DE VALENCIA; AGENCIA ESTATAL DE INVESTIGACION; COMISION DE LAS COMUNIDADES EUROPEA; Universitat Politècnica de Catalunya
[EN] Fidelity is one of the most valuable and commonly used metrics for assessing the performance of quantum circuits on error-prone quantum processors. Several approaches have been proposed to estimate circuit fidelity without executing it on quantum hardware, but they often face limitations in scalability or accuracy. In this work, we present a comprehensive theoretical framework to predict the fidelity of quantum circuits under depolarizing noise. Building on theoretical results, we propose an efficient fidelity estimation algorithm based on device calibration data. The method is thoroughly validated through simulation and execution on real hardware, demonstrating improved accuracy compared to state-of-the-art alternatives, with enhancements in prediction R2 ranging from 4.96% to 213.54%. The proposed approach provides a scalable and practical tool for benchmarking quantum hardware, comparing quantum software techniques such as compilation methods, obtaining computation bounds for quantum systems, and guiding hardware design decisions, making it a critical resource for developing and evaluating quantum computing technologies.
Peter Pan i la ciéncia forense
(Universitat de València, Vice - Rectorat d'Investigació, 2025) Mulet, José Miguel; Instituto Universitario Mixto de Biología Molecular y Celular de Plantas; Departamento de Biotecnología; Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural
[CA] L'ambició
per la fama pot tenir un final dramàtic o, moltes vegades, un èxit primerenc pot acabar massa aviat.
Això ho reflecteix molt bé el documental de Manuel
Summers Juguetes rotos.
Un bon exemple de com Hollywood t'ho pot donar
tot i t'ho pot treure tot és el de Bobby Driscoll, actor
infantil nord-americà molt popular durant els anys
quaranta i cinquanta del segle XX gràcies a Disney.
