Leonardo Lavagna

Leonardo Lavagna

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

Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series

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@NESYA we have have published an article about about an hybrid quantum-classical Gated Recurrent Unit (GRU) used to infer information about multidimensional time series. Check the associated blog post to know more about this article.

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Open DIET 2025

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Acoording to tradition, also this year we are hosting the Open DIET event where highschool students can join for one day the research teams in our Department in innovative projects and see with their own eyes cutting edge technologies and curren trends in modern electronics, artificial intelligence and quantum computing. This year I will propose a (hopefully fun) project where a student can simulate Classical and Quantum Walks with an Arduino-Based LED System. All the details are in this repository. If you happen to be in Rome in that period, let me know!

Attending the 2025 IEEE International Symposium on Circuits and Systems

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I’m going to present a work on Quantum Cryptography at the 2025 IEEE International Symposium on Circuits and Systems (ISCAS 2025). The title of the talk is “Trade-Offs in Cryptosystems by Boolean and Quantum Circuits” where we have analized the security of cryptosystems based on trapdoor permutations against NISQ attacks. The materials will be available soon, and a preliminary schedule is available here.

Joined Qeios

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I’ve just joined the Open Sicence Platform Qeios. It is an open-access, open peer review, academic publishing platform. Publishing on Qeios is free and doesn’t rely on editors to accept or reject papers. Instead, reviewers openly evaluate papers after publication, offering feedback to improve the work and guide readers on its quality. This post-publication peer review system allows broad participation, highlighting strong research and limiting the spread of flawed studies, and I believe it to be a kind of alternative to the many flaws current academic publishing has displayed over and over. If you are interested you can check my first contribution on Qeios here.