About Me
I’m Alessandro (Scinawa). I am a researcher in quantum algorithms at CQT (Centre for Quantum Technologies). I’ve done a PhD in quantum machine learning at IRIF (Institut de Recherche en Informatique Fondamentale) and PCQC (Paris Center for Quantum Computation). My PhD was sponsored by Atos Quantum Lab, and I am the author of 2 patents in quantum technologies.
In another life, I was a contractor for some nation-wide projects for 3 ICT companies. I’ve also been an expert witness (consulente tecnico di parte) for 2 court cases. I am a founding member of Inclusive Hacker Framework. A decade ago I started to be involved in the vivid italian hackers’ community, where sometimes I contribute with talks. I am also a fellow of Hermes Center for digital human rights. I put my code online on Github. For more details please see Linkedin, and Scholar.
I served on the Program Committee of: EndSummerCamp 2016, IHC, and in the Local Committee of: FOCS2018.
Research Interest
I write new quantum algorithms with specific focus on quantum machine learning. Furthermore, I also study how to apply quantum algorithms to solve real problems in:
- artificial intelligence and machine learning
- finance
- cybersecurity.
Before, I studied graph centrality measures, and I worked on the 4th of the Axioms for centrality.
You can follow (live) my PhD defense here.
Teaching and mentorship
- Quantum machine learning in practice [2019 - 1CFU] - Politecnico di Milano.
- Applied quantum computing (1st part.) [2021 - 1CFU] - Politecnico di Milano.
I supervised the following students:
- Alexandros Singh (internship at IRIF, now at QC Ware and PhD at Sorbonne University of Paris Nord),
- Rebecca Erbanni (master thesis in Atos, now PhD Singapore University of Technology and Design),
- Armando Bellante (master thesis at Politecnico di Milano, now PhD at Politecnico di Milano)
- I am currently mentoring 4 students in the Mentorship Program of the Quantum Open Source Foundation.
Papers
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Luongo, A. (to appear). Applications of quantum algorithms for spectral sums.
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Luongo, A., Bellante, A. (2021) Quantum algorithms for data representation. pdf
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Luongo, A., Shao C. (2020). Quantum algorithms for spectral sums. [pdf].
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Kerenidis, I., Luongo, A., & Prakash, A. (2019). Quantum Expectation-Maximization for Gaussian mixture models. International Conference in Machine Learning 2020 [pdf].
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Kerenidis, I., Landman, J., Luongo, A., & Prakash, A. (2019). q-means: A quantum algorithm for unsupervised machine learning. In Advances in Neural Information Processing Systems 2019 [pdf].
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Kerenidis, I., & Luongo, A. (2020). Classification of the MNIST data set with quantum slow feature analysis. Physical Review A [pdf].
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Boldi, P., Luongo, A., & Vigna, S. (2017). Rank monotonicity in centrality measures. Network Science. [pdf].
The level of achievement that you have in anything, is a reflection of how well you were able to focus on it. (Steve Vai)
Publications and talks
2021
- (Interview) Smarter Podcast - Quantum Machine Learning - Italian Podcast on AI.
- (Invited) Business and quantum computing - Ayming series of talks “Special moment with …” (talk in FR and EN).
2020
- (Talk) Quantum algorithms for spectral sums - 20th Asian Quantum Information Science Conference.
- (Invited) Tecnologie esponenziali e rinascimento competitivo: roundtable sugli impatti socio-economici del Quantum Computing - Executive MBA Ticinensis (Remote).
- (Thesis) Quantum algorithms for machine learning - the internet.
- (Talk) Quantum Expectation-Maximization for Gaussian mixture models - International Conference on Machine Learning - (Remote)
- (Talk) Quantum Expectation-Maximization for Gaussian mixture models - Italian Association for Machine Learning (Remote)
- (Talk) [Quantum algorithms for NLP: LSA, QSFA and CA ][QNLP] - Quantum week of fun: quantum natural language processing - (Remote) (Talk by Armando Bellante)
2019
- (Talk) Quantum Expectation-Maximization for Gaussian mixture models - QIT Seminar- University of Bristol, Bristol.
- (Talk) Quantum Expectation-Maximization for Gaussian mixture models - Seminar - Cambridge University - Cambridge.
- (Talk) Quantum Expectation-Maximization for Gaussian mixture models - IQC-IRIF workshop on Quantum Algorithms and Complexity - IQC, Waterloo.
- (Talk) Introduction to quantum machine learning (whiteboard talk) - Qarma Seminar - Marseille.
- (Talk) Quantum Expectation-Maximization for gaussian mixture models - QUANTALGO Workshop - CWI, Amsterdam.
2018
- (Talk) Quantum algorithms for classification - ICOQC - École Normale Superiéure, Paris.
- (Talk) Quantum algorithms for classification - IQFA’9 Colloquium - Université de Montpellier.
- (Talk) Quantum algorithms for classification - Journées d’Informatique Quantique 2018, LOIRA @ Nancy.
- (Invited) A quantum machine learning future - 32th National Meeting AIEA-ISACA (Italian Association Information System Auditors), Milan
- (Talk) Quantum tools in cybersecurity: algorithms and protocols for defence - Italian Hacker Camp 2018.
- (Panel discussion) HermesCenter and the human rights in cyberspace - Summer school of cybercrime - Meeting the cybersecurity business, at Università Cattolica del Sacro Cuore, Milan.
- (Workshop) Cybersecurity, controllo, sorveglianza - DIG Awards 2018 Documentari Inchieste Giornalistmi - (pdf)
- (Preprint) Quantum classification of the MNIST dataset via Slow Feature Analysis - Preprint with Iordanis Kerenidis.
- (Notes) Selected topics in QML ( black/white) - In front of a whiteboard.
2017
- (Workshop) Cybersecurity per giornalisti- DIG Awards 2017 Documentari Inchieste Giornalismi - (pdf)
- (Talk) Leaks, giornalismo d’inchiesta e media attivismo DIG Awards 2017 Documentari Inchieste Giornalismi.
- (Magazine) Cybersecurity in un mondo quantistico. Cosa cambierà? - ICT Security Magazine -
- (Interview) Benigni spiega la crittografia quantistica - AGI Agenzia Giornalistica Italia.
- (Journal) Rank Monotonicity in Centrality Measures (pdf) Network Science, Cambridge University Press
2016
- (Talk) Quantum Machine Learning for hackers (primier on projective simulation) - EndSummerCamp 2016 @ Venezia
- (Talk) NOT WITH MY DATA (with Matteo Flora) - EndSummerCamp 2016 @ Venice
- (Caps) Let’s talk about Qubes-OS - EndSummerCamp2016 @ Venice (with DrWatson)
2015
- (Talk) Rank Monotonicity in Centrality Measure - Master’s Thesis @ Università degli Studi di Milano (2015)
- (Workshop) Cybersecurity for newbies pdf-1, pdf-2, pdf-3 - VicinoLontano 2015 - 3 days workshop
2014
- (Talk) Quantum algorithms for hackers - EndSummerCamp2014
- (Talk) Tor and programming - Open Source Day @ Università degli Studi di Udine
2013
- (Talk) Portscanning the Tor network - ObserveHackMake: OHM2013 (Lightning talk)
- (Talk) The ZUC encryption algorithm - Student’s lecture at Università degli Studi di Milano
- (Talk) OpenSourceDay 2013 - Comparison of Asterisk and Freeswitch
2009
- (Talk) Analyzing mobile frauds in Italy - Student’s lectures @ Università degli Studi di Milano.
- (Talk) Dimmi il tuo numero, ti dirò dove sei - E-Privacy 2009 (with Epto)
- (Talk) Dimmi il tuo numero, ti dirò dove sei - Hackmeeting (with Epto)
I (used to) play music. When I’m with friends and there’s a guitar or a piano around, maybe this. Di facili costumi ma di sani principi.