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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.
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@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
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@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
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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. Read more
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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:
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@NESYA we have have published an article about the impact of NISQ devices on encryption-decryption schemes. Check the associated blog post or the associated materials to know more about this article. Read more
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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. Read more
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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. Read more
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I’m going to present at IJCNN 2025 a couple of recent results about the intersections of quantum computing and hyperdimensional computing, and a collaboration on the application of QAOA-type methods to anomaly detection problems in univariate time-series. This year I’m lucky that the conference will be held in Rome, thanks to all the organizers for the amazing work they are doing. If you happen to be around let me know! Read more
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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! Read more
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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. Read more
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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. Read more
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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 Read more
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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. Read more
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I’m going to attend the 8th International Conference on Quantum Techniques in Machine Learning where we are presenting three results:
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@NESYA we have have published an article 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. Read more
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@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”. Read more
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@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. Read more
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@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 Read more
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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. Read more
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. Read more
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. Read more
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 in 2025 IEEE International Symposium on Circuits and Systems (ISCAS), 2025
This work explores the impact of NISQ devices on encryption-decryption schemes and has its companion blog post here and code in this repository. Read more
Recommended citation: L. Lavagna, F. De Falco, A. Ceschini, A. Rosato and M. Panella, "Trade-offs in Cryptosystems by Boolean and Quantum Circuits," 2025 IEEE International Symposium on Circuits and Systems (ISCAS), London, UK, pp. 1-5. https://ieeexplore.ieee.org/document/11043205
Published in Physica Scripta, 2025
This review presents time-independent perturbative methods for solving the one-dimensional Schrödinger equation, highlighting representative cases that reveal key aspects of the theory. The focus is on their relevance to quantum computing applications, particularly in systems with finite-dimensional state spaces. Blog post here and code here. There is also an app in the Applets page. Read more
Recommended citation: L. Lavagna, S. Carillo and M. Panella, "A topical review on time-independent perturbation theory in one-dimensional quantum systems," 2025 Phys. Scr. 100 102001. https://iopscience.iop.org/article/10.1088/1402-4896/ae0a8f
Published in AVS Quantum Science, 2025
In this article we investigate the Maximum Cut (MaxCut) problem on different graph classes with the quantum approximate optimization algorithm (QAOA) using symmetries. In particular, heuristics on the relationship between graph symmetries and the approximation ratio achieved by a QAOA simulation are considered Read more
Recommended citation: L. Lavagna, S. Piperno, A. Ceschini and M. Panella, "On the Effects of Small Graph Perturbations in the MaxCut Problem by QAOA ," 2025 AVS Quantum Science 7(4), doi: 10.1116/5.0253160. https://www.researchgate.net/publication/396483291_Small_graph_perturbations_QAOA_and_the_MaxCut_problem
Published in International Journal of Pharmaceutics, 2025
This article discusses the transformative role of machine learning in optimizing liposome development, a process traditionally limited by its complexity, high cost, and time-intensive experimentation. By analyzing over 300 experimental conditions using a microfluidic production platform inspired by the formulations of Doxil® and Marqibo®, the study demonstrates how predictive models can efficiently determine key liposome characteristics such as particle size and polydispersity index. An open-source simulation tool was also developed to allow researchers to virtually design and test formulations, reducing the need for extensive laboratory work. The models were validated through independent experiments, confirming their robustness and adaptability. Code available here with an associated app here. Read more
Recommended citation: G. Buttitta, L. Lavagna, S. Bonacorsi, C. Barbarito, M. Moliterno, G. Saito, I. Oddone, G. Verdone, S. Raimondi, M. Panella, "Machine Learning-Guided microfluidic optimization of clinically inspired liposomes for nanomedicine applications", International Journal of Pharmaceutics, Vol. 686, 2025. https://www.sciencedirect.com/science/article/pii/S0378517325011998
Published in 2025 International Joint Conference on Neural Networks (IJCNN), 2025
We introduce new quantum machine learning models that combine both quantum and hyperdimensional computing. Code available here. Associated Blog post here Read more
Recommended citation: L. Lavagna, A. Ceschini, A. Rosato and M. Panella, "Novel Quantum Approaches to Hyperdimensional Computing for Neural Networks," 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, pp. 1-8. ieeexplore.ieee.org/document/11228152
Published in 2025 International Joint Conference on Neural Networks (IJCNN), 2025
We introduce a hybrid quantum-classical framework to address anomaly detection problems in time series data using an innovative Quadratic Unconstrained Binary Optimization formulation. Code available here. Associated Blog post here Read more
Recommended citation: M. Casalbore, L. Lavagna, A. Rosato and M. Panella, "Hybrid Quantum-Classical Framework for Anomaly Detection in Time Series with QUBO formulation and QAOA," 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, pp. 1-8. https://ieeexplore.ieee.org/document/11228152
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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. Read more
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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. Read more
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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. Read more
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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. Read more
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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. Read more
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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. Read more
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Presentation at the 2024 Conference on Quantum Techinques in Machine Learning about “Quantum Enhanced Knowledge Distillation”. The notes for the presentation are available here. Read more
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Presentation at the 2025 IEEE International Symposium on Circuits and Systems about “Trade-offs in Cryptosystems by Boolean and Quantum Circuits”. The notes for the presentation are available here and here is a related blog post. In this repository you find all the implementations related to the project. Read more
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Presentation at the 2025 International Joint Conference on Neural Networks about “Novel quantum approaches to Hyperdimensional computing for Neural Networks”. The notes for the presentation are available here and here is a related blog post. In this repository you find all the implementations related to the project. Read more
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post. Read more
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post. Read more