The 2nd Machine Learning Methods for Complex and Quantum Systems (ML2026) will be hosted by the Institute of Cosmos Sciences of the University of Barcelona on 10-12 June, 2026. This conference follows the success of the inaugural edition held in Camerino, Italy (June 2025 – https://www.multisuper.org/machine-learning-2025)
The ML2026 Workshop aims to foster an interactive and interdisciplinary environment for discussing recent advances and future directions in Machine Learning (ML), with a particular focus on its applications to complex and quantum physical systems. In addition to applied ML topics, we will explore foundational aspects of ML in relation to physics models (e.g., spin glasses) and their broader implications.
A distinctive feature of ML2026 is the active participation of entrepreneurs and private sector representatives, promoting cross-sector dialogue and collaboration. The workshop encourages cross-disciplinary exchange, methodological innovation, and capacity building in a highly interactive setting.
Key Topics
- Machine Learning for Quantum Matter
- Machine Learning and Quantum Computing; Quantum Machine Learning
- Machine Learning for Complex Systems
- Mathematical, Statistical and Physics Foundations of Machine Learning
- Machine Learning and the Scientific Method
- Industry Applications of Machine Learning for facing complexity
- Artificial intelligence systems for learning and teaching: applications to university scientific studies
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Local Organising Committee (ICCUB)
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Sponsors
Collaborators:
