Tigran Sedrakyan

Tigran Sedrakyan

Apprentissage Automatique Quantique : Architectures et Applications

I work on privacy-preserving quantum computation. I study how existing classical privacy preservation techniques can be used in quantum computational pipelines, as well as how native quantum noise present in the NISQ era can benefit or amplify privacy guarantees. More specifically, I explore applications of differential privacy in quantum machine learning and photonic quantum computing architectures. In my free time, I play the guitar, produce music, and DJ :)

Récents