Research

On this page you can find more detail about my work, including my interests, publications, conferences, and talks. Also, you may be interested in my University Webpage, here.

Curriculum Vitae CV:

My research is focused on Quantum Computation and Information, and I’m interested also in topics coming from Theoretical Computer Science. I’m half a Theoretician and Programmer (I love spending time on my computer), using both approaches when dealing with a problem.

At the moment, for my PhD I am investigating and studying one of the most interesting application of Quantum Computing, that is Quantum Machine Learning.

Programming languages and tools: Qiskit, Pennylane, Python, Fortran, Mathematica, …


Publications

[Last updated: 12/06/22] For an always up-to-date list, please check Google Scholar , arXiv, Orcid .


Talks

  • Summer School: Machine Learning for Quantum Physics and Chemistry (University of Warsaw), 2021.
    Contributed talk: “Variational Learning for Quantum Artificial Neural Networks” (Slides; Video; Paper).
  • Young Italian Quantum Information Science (YIQIS), 2020.
    Invited speaker: “Quantum Computing models for artificial neurons” (Slides).

Coding and Hackathons Conferences

  • Qiskit Hackathon Euorpe: Research Study Group (2021), organized by IBM.
    Project: Quantum Reinforcement Learning with Qiskit (code on GitHub).
  • Quantum Open Source Foundation (QOSF) Mentorship Program, Mentee (2020).
    Project: Learning to Learn with Quantum Artificial Neural Networks, featured as a Demo on PennyLane’s website.
  • Hackathon on CEREBELLUM MODELLING (2020), organized by Human Brain Project (HBP).
    Link to event description