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Entropy 2026: Exploring Complexity and Information in Science

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⚡ Quantum Brief
Over 200 global experts in quantum computing, AI, and thermodynamics will convene in Barcelona from July 1–3, 2026, for a landmark interdisciplinary conference on entropy and complexity. The event, organized by MDPI’s Entropy journal, bridges theoretical and applied research, emphasizing cross-disciplinary collaboration in quantum information, statistical physics, and energy systems. Key sessions include quantum computing, non-equilibrium thermodynamics, and AI-driven data science, with a focus on entropy’s role in emerging technologies and complex systems. Submissions are open until March 1, 2026, with registration closing June 15; interdisciplinary contributions—both conceptual and methodological—are strongly encouraged. Chaired by Prof. Miguel Rubí (Barcelona) and Prof. Kevin Knuth (Albany), the conference targets breakthroughs at the intersection of information theory, quantum mechanics, and real-world applications.
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Acronym: Entropy 2026Dates: Wednesday, July 1, 2026 to Friday, July 3, 2026Web page: Entropy 2026: Exploring Complexity and Information in ScienceRegistration deadline: Monday, June 15, 2026Submission deadline: Sunday, March 1, 2026Tags: quantum informationquantum computationquantum statistical mechanicsstatistical physicsquantum termodynamics We cordially invite you to partake in Entropy 2026: Exploring Complexity and Information in Science (Entropy 2026), which will be held in Barcelona, Spain, from 1 to 3 July 2026. The event will bring together over 200 international experts in complex systems, AI, quantum, quantum computing, thermodynamics, and entropy applications, offering a great platform for collaboration and knowledge exchange. This conference is organised by MDPI's open-access journal Entropy (ISSN 1099-4300; IF: 2.0) and presents a unique opportunity to unite researchers from both fields, fostering collaboration and cross-disciplinary innovation. The main topics and sessions of the conference include the following: • Complex Systems and Network Science • Information Theory, Data Science and Artificial Intelligence • Quantum Information and Quantum Computing • Thermodynamics and Energy Systems • Non-Equilibrium Systems and Entropy Production • Statistical Physics and Stochastic Processes • Soft and Living Matter • Applications of Entropy in Science and Engineering We particularly welcome interdisciplinary contributions from both theoretical and applied perspectives. Submissions may also address conceptual and methodological advances, as well as innovative applications of entropy and information theory across a broad range of domains. We very much look forward to your participation. Event Chairs * Prof. Dr. Miguel Rubi—University of Barcelona, Spain * Prof. Dr. Kevin H. Knuth—University at Albany, USA

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