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 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:
You can follow (live) my PhD defense here.
I supervised the following students:
Luongo, A. (to appear). Applications of quantum algorithms for spectral sums.
Luongo, A., Bellante, A. (2021) Quantum algorithms for data representation. pdf
Luongo, A. (thesis). Quantum algorithms for machine learning.
Luongo, A., Shao C. (2020). Quantum algorithms for spectral sums. [pdf].
Kerenidis, I., Luongo, A., & Prakash, A. (2019). Quantum Expectation-Maximization for Gaussian mixture models. International Conference in Machine Learning 2020 [pdf].
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].
Kerenidis, I., & Luongo, A. (2020). Classification of the MNIST data set with quantum slow feature analysis. Physical Review A [pdf].
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)