Page Not Found
Page not found. Your pixels are in another canvas.
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Page not found. Your pixels are in another canvas.
This is a page not in th emain menu
Published:
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!
Published:
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.
Published:
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.
Published:
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
Published:
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.
Published:
I’m going to attend the 8th International Conference on Quantum Techniques in Machine Learning where we are presenting three results:
Published:
@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.
Published:
@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”.
Published:
@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.
Published:
@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
Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Arxiv preprint 2408.15413, 2024
This paper is about symmetries and QAOA and has its companion blog post here and companion code available here.
Recommended citation: Leonardo Lavagna, Simone Piperno, Andrea Ceschini, Massimo Panella: On the Effects of Small Graph Perturbations in the MaxCut Problem by QAOA. Arxiv preprint 2408.15413 (2024). https://www.arxiv.org/abs/2408.15413
Published in 2024 International Joint Conference on Neural Networks (IJCNN), 2024
This work was the natural development of my master thesis on quantum optimization and has its companion blog post here.
Recommended citation: L. Lavagna, A. Ceschini, A. Rosato and M. Panella, "A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm," 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8. https://ieeexplore.ieee.org/document/10650075
Published in 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024
This paper is about an hybrid quantum-classical Gated Recurrent Unit used to infer information about multidimensional time series and has its companion blog post here.
Recommended citation: Francesca De Falco, Leonardo Lavagna, Andrea Ceschini, Antonello Rosato, Massimo Panella: Evolving Hybrid Quantum-Classical GRU Architectures for Multivariate Time Series, in the 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). https://inspirehep.net/literature/2849278
Published:
Talk (in italian) concluding the residential stage in Laboratori Nazionali di Frascati (LNF), supervised by Dott. Danilo Babusci. The topic I studied was the relationship between the quantization of the action functional and the value of Plank’s constant, measured also experimentally during the stage using LEDs. The notes (written in italian) of the talk are available here.
Published:
Talk at the seminar “Geometrie auf der Sphäre und im hyperbolischen Raum” organized by Prof. Margarita Kraus at the Johannes Gutenberg University of Mainz (Germany). The main point was to show that the isometry group of the hyperbolic space is isomorphic to a subgroup of the Möbius group of the sphere. The notes of the talk are available here.
Published:
Talk at the seminar “Advanced methods of averaging in Ordinary Differential Equations” organized by Prof. Alan Rendall at the Johannes Gutenberg University of Mainz (Germany). The topic I discussed was about the Hill equation. The website of the event is available here. The notes of the talk are available here.
Published:
Talk at the seminar “Stochastische Techniken in mathematischer Modellierung” organized by Prof. Mária Lukácová-Medvidová at the Johannes Gutenberg University of Mainz (Germany). The main topic was time-dependent statistical mechanics. The web page of the seminar is available here. The notes of the talk are available here.
Published:
Presentation at the 2024 Conference on Quantum Techinques in Machine Learning about “Quantum Generative Modeling via Straightforward State Preparation”. The notes for the presentation are available here.
Published:
Presentation at the 2024 Conference on Quantum Techinques in Machine Learning about “Enhancing QAOA Ansatz via Multi-Parameterized Layer and Blockwise Optimization”. The notes for the presentation are available here.
Published:
Presentation at the 2024 Conference on Quantum Techinques in Machine Learning about “Quantum Enhanced Knowledge Distillation”. The notes for the presentation are available here.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.