News

Open DIET 2025

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Published: February 28, 2025

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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Published: January 23, 2025

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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Published: January 10, 2025

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.

New app available!

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Published: December 30, 2024

A new app about quantum optimization is available! I have developed a simple tool to solve the MaxCut problem with QAOA. Check the companion repository: github.com/leonardoLavagna/qaoa. To use the app visit quantum-optimization-app.streamlit.app

Materials related to the 8th International Conference on Quantum Techniques in Machine Learning

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Published: December 24, 2024

The proceedings of the 2024 International Conference on Quantum Techniques in Machine Learning are up! Check here, here and here for the materials related to our presentations.

Attending the 8th International Conference on Quantum Techniques in Machine Learning

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Published: November 24, 2024

I’m going to attend the 8th International Conference on Quantum Techniques in Machine Learning where we are presenting three results:

• a Quantum Generative Model based on a Straightforward State Preparation (more on this later…)
• an Enhanced version of the Quatum Approximate Optimization Algotrithm with an Ansatz and Blockwise Optimization (also more on this later…)
• a Quantum-Classical Knowledge Distillaition Framework (wait for it…)

Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series

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Published: November 24, 2024

@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.

Winners of a Sapienza Research Call 2024-2025

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Published: November 08, 2024

@NESYA Andrea Ceschini and I have won a ~5k€ Sapienza Research Call “AQUA-QLEAR: Achieving Quantum Utility and Advantage through Quantum Learning for Enhanced and Accelerated Results”.

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

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Published: August 29, 2024

@NESYA we have have published a preprint about graph symmetries, perturbations and the QAOA. Check the associated blog post to know more about this article. The repository with the code associated to this article can be found here.

A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm

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Published: June 21, 2024

@NESYA we have introduced a novel variational quantum algorithm called layerwise-Multi-Angle QAOA (LMA-QAOA) to improve upon the well known Quantum Approximate Optimization Algorithm (QAOA). To know more about this paper check the associated blog post here