ARMANDO ANGRISANI

arXiv

Twitter

I am postdoctoral researcher in Zoë Holmes's group at EPFL.

Prior to that, I did my Ph.D. at LIP6, Sorbonne University and I was supported by the QICS - Quantum Information Center Sorbonne. I was fortunate to have Elham Kashefi and Vincent Cohen-Addad as my advisors.

I am broadly interested in quantum information, statistical learning theory and quantum machine learning.

email: name.lastname (at) epfl.ch

Antonio Anna Mele, AA, Soumik Ghosh, Sumeet Khatri, Jens Eisert, Daniel Stilck Franca and Yihui Quek, Noise-induced shallow circuits and absence of barren plateaus
AA, Learning unitaries with quantum statistical queries, [arXiv]
● oral presentation at the Machine Learning and Quantum Physics Workshop 2024
AA, Mina Doosti and Elham Kashefi, A unifying framework for differentially private quantum algorithms, [arXiv]
● oral presentation at the Workshop on Socially Responsible Machine Learning (co-located with ICLR 2022)
● lightning talk at Theory and Practice of Differential Privacy (co-located with ICML 2022) [video] and poster at QCRYPT 2022 [video]
● invited talk at the Quantum Machine Learning Workshop (co-located with ECML-PKDD 2022)
AA and Elham Kashefi, Quantum Local Differential Privacy and Quantum Statistical Query Model, [arXiv]
AA, Brian Coyle and Elham Kashefi, Probably Approximately Correct Quantum Source Coding, [arXiv]
● oral presentation at the International Conference for Young Quantum Information Scientists 2021, [Best Submission Award]

The interplay between Differential Privacy and GDPR
Joint talk with Asmaa Belghiti at Privacy 2.0 - Interdisciplinary perspectives on privacy in the digital age, Conference of the Hans Böckler Foundation, Dresden 2022, [Program]