Back in 2020, the Quantum Information Center Sorbonne awarded a doctoral program to Armando Angrisani in order to develop his PhD project about Hybrid Classical-Quantum Learning Applications for Noisy Intermediate-Scale Quantum Computing. He worked on his project at the LIP6 under the supervision of Elham Kashefi (director) and Vincent Cohen-Addad (co-supervisor).

We are delighted to announce that Armando has recently been awarded his PhD on December 11th 2023.

« My goal is to design effective quantum machine learning algorithms for Noisy Intermediate-Scale Quantum (NISQ) devices. This task poses challenging questions in quantum complexity and statistical learning theory, as we wish to prove a quantum advantage both in terms of time and sample complexity. Moreover, I am interested in secure delegation protocol for machine learning algorithms. NISQ devices will be remotely available to clients, thus privacy-preserving delegation protocols are crucial when the input contains personal (e.g. biometric) information.
I am interested as well in classical machine learning problems, such  as clustering and generative modelling. » said Armando during his PhD.

Since then, Armando has worked on a lot of posters and articles which are on the verge of being published. However they are already available on this page.

With regard to his future plans, Armando is about to join Zoe Holmes' group on February 2024 at the EPFL (École Polytechnique Fédérale de Lausanne) in Switzerland.