New Dataset available on Zenodo!

Machine Learning-Guided microfluidic optimization of clinically inspired liposomes for nanomedicine applications

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Published: November 12, 2025

@NESYA, in collaboration with the Department of Chemistry and Technologies of Drugs and with BSP Pharmaceuticals, we have published an article about the simulation capabilities of a machine learning mixture of experts model in the production of liposomes. Code available here, with a user-friendly application here. Read more

On the Effects of Small Graph Perturbations in the MaxCut Problem by QAOA

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Published: October 17, 2025

@NESYA we have have published an article that analyze the effect of graph perturbations on the Quantum Approximate Optimization Algorithm. Check the associated materials to know more about this article. Read more

A topical review on time-independent perturbation theory in one-dimensional quantum systems

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Published: October 14, 2025

@NESYA we have have published an article that contextualizes perturbative methods in the quantum circuit model. Check the associated blog post or the associated materials to know more about this article. Read more

Materials related to the 2025 International Joint Conference on Neural Networks

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Published: July 08, 2025

As discussed in this previous post, the 2025 International Joint Conference on Neural Networks (IJCNN) took place in Rome and our group @NESYA organized a workshop and a special session:

• Quantum Computing and Quantum Neural Networks – QCNN: a very nice, open and frank workshop about the state of the art and possible directions of quantum computing, with international speakers from Fermilab, ESA, CERN and prestigious universities across the world. The detailed program of the workshop can befound here.
• Hyperdimensional Computing and Vector Symbolic Architectures for Neural Networks and Artificial Intelligence: a very interesting special session to broaden the view about promising alternatives to standard machine learniong architectures, with in-depth talks about some difficult aspects of vector symbolic computations and new ideas to push forward the research in this niche.