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INFOLANET

Information processing with coupled laser networks

P.I.: Apostolos Argyris, Miguel C. Soriano
In the INFOLANET project, we will combine the expertise of the PIs on dynamical systems and machine learning to advance information processing concepts, based on a high-speed photonic implementation. We anticipate that …

QNet

Transport, metastability, and neuromorphic applications in quantum networks

P.I.: Gian Luca Giorgi, Roberta Zambrini
QNet is a European project funded under the call Quantera 2023. The consortium is coordinated by Ticijana Ban from the Institute of Physics, Zagreb, and is also composed of IFISC, Universität des …

SuMQuTT

Surfing Multiterminal Quantum Thermodynamics and Topology

P.I.: Rosa Lopez, Llorenç Serra
Our project is devoted to the investigation of the novel physics and the functionalities emerging from the combination of three fundamental aspects such as quantum behavior, thermodynamics and topology in transport through …

SNANDOG

Spatiotemporal Nonlocal and Non-conservative Diffusion on Graphs

P.I.: Ernesto Estrada
Complex systems permeate biological life, society, and modern infrastructures. Their functioning depends primarily on the dynamic processes that take place between interacting entities that form network structures. Such structures can be appropriately …

QUANTCOM

Exploring the Intersection of Quantum Phenomena and Next-Generation Computing

P.I.: Gian Luca Giorgi
Emerging properties of driven-dissipative nonlinear quantum oscillators offer a unique advantage in terms of processing capacity, making these systems strong candidates for real-world applications in a variety of quantum technology contexts. They …

CoSASTI

Complex Systems Approach to Social and Technological Interactions

P.I.: Tobias Galla, Jose Javier Ramasco, David Sánchez, Raúl Toral
Human interactions have traditionally been the subject of the social sciences, separate from the natural sciences. The trend towards quantitative and computational social sciences is recent, and the theory of complex systems …

CSxAI

Complexity science for understanding AI: from the dynamics of complex networks to collective effects of interacting neural networks

P.I.: Lucas Lacasa, Víctor M. Eguíluz
The CSxAI project engages researchers at IFISC in a (non-oriented research project) on the interdisciplinary challenge of applying tools and concepts of complexity science (dynamical systems, statistical physics, and network science) to …

TITAN

Temporal Interference and Twin-Augmented Neuromodulation for enhancing memory formation

P.I.: Claudio Mirasso, Silvia Ortín
This project brings together expertise in systems and computational neuroscience to develop innovative, knowledge-based neuromodulation strategies aimed at improving cognitive abilities, specifically memory formation. Building on our previous AEI-funded project, we propose …

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