Scholar
Armando Angrisani
Google Scholar ID: Z0d1q3gAAAAJ
Postdoc, EPFL
Citations & Impact
Citations
216
H-index
8
i10-index
8
Publications
15
Co-authors
26
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper "Classically estimating observables of noiseless quantum circuits" accepted by Physical Review Letters (PRL) and selected as an Editors’ Suggestion.
- New work on classical simulation of noisy bosonic circuits posted on arXiv.
- Work on information-theoretic limits of quantum learning accepted by IEEE Conference on Quantum Artificial Intelligence.
- Paper on noise-tolerant unitary learning published in Quantum.
- Invited to give tutorials on Pauli propagation methods at QTML 2025 (Singapore) and the IEEE Quantum AI conference.
Background
- Currently a postdoctoral researcher at EPFL in the Quantum Information and Computation Group led by Prof. Zoë Holmes.
- Research lies at the intersection of quantum computing, information theory, and machine learning.
- Holds a dual background in computer science and physics, aiming to understand the computational power and limitations of quantum systems.
- Focuses on how noise and physical constraints shape the boundary between quantum and classical computation, and how they can enable efficient classical simulation.
- Interested in quantum learning theory and quantum differential privacy, with an emphasis on frameworks that are both theoretically rigorous and experimentally relevant.
