Curriculum Vitae (Click here for the PDF)
I am a PhD student in the Quantum Information group of Jens Eisert at Freie Universität Berlin, and a 2025 Google PhD Fellow in Quantum Computing, a programme that “recognizes outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields.”
My research has focused on quantum learning theory—how can we efficiently extract useful information, or learn a compact classical model, from a complex quantum system?—as well as on the impact of noise on quantum circuits and their classical simulability. My work has also uncovered mathematical structures underlying quantum systems, from Gaussian and non-Gaussian bosonic and fermionic systems to Clifford symmetries and random unitaries.
Looking ahead, I am increasingly interested in quantum algorithms and quantum error correction, with the goal of pushing quantum computing toward genuinely useful applications, particularly as increasingly capable AI models enable previously unimaginable ways of doing research and accelerate the search for such applications.
For a full list of publications, see my Google Scholar profile.
Short CV
- PhD in Quantum Information, Freie Universität Berlin, Nov. 2021–present. Advisor: Jens Eisert.
- Google Quantum AI, Summer Researcher, Los Angeles, CA, USA, 2026. Mentor: Jarrod McClean.
- Los Alamos National Laboratory, Summer Researcher, NM, USA, 2024. Mentor: Marco Cerezo.
- MSc in Physics, joint programme of the University of Trento and SISSA (International School for Advanced Studies), Italy, 2019–2021. Graduated 110/110 cum laude.
- BSc in Physics, University of Pisa, Italy, 2016–2019. Graduated 110/110 cum laude.
📬 Feel free to reach out at antoniomele.p@gmail.com if you’d like to connect or discuss research ideas!