Leonardo Lavagna

Leonardo Lavagna

I'm a mathematician specialized in Data Science currently pursuing a PhD in Quantum Computing

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

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@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.

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Materials related to the 2025 International Joint Conference on Neural Networks

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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.

Materials related to the 2025 IEEE International Symposium on Circuits and Systems

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I’ve presented our work at the 2025 IEEE International Symposium on Circuits and Systems and had very interesting discussions about post-quantum cryptography. Thanks to the orgaizers for the amazing work. You can chek my slides here and here you can find a blog post that summarizes the motivation and context of our results. In this repository you find all the implementations related to the project. As soon as the proceedings of the conference will be published I will also share more details about our findings.

New Dataset available on Kaggle!

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I have just published a simple educational project that should help the novice to get started with the Google Earth Engine API. The main steps of this project are summarized in the associated Github repository. As a byproduct of the project I have created a new dataset on Kaggle, check it here! This dataset provides geographic and environmental data on different islands from around the world, focusing on their potential for renewable energy generation. It includes information on solar irradiance, wind speeds, and other characteristics useful for sustainability studies and geographic analysis. Since there are not so many public cleaned dataset of this kind I hope it will be usefull.