Fiche de ANGRISANI Armando

Titre : The disparate impact of noise on quantum learning algorithms
Date : 11 décembre 2023
Heure: 10:00
Résumé : This thesis explores the impact of noise on quantum learning algorithms. It investigates the effect of noise on variational quantum algorithms, highlighting disparities between unital and non-unital noise models. It also addresses the problem of learning quantum dynamics with noisy measurements and offers efficient solutions for specific classes of unitary operators. Additionally, the thesis delves into quantum differential privacy, proposing a new definition of neighboring quantum states, providing tighter privacy guarantees for quantum measurements, and establishing an equivalence between quantum statistical queries and quantum differential privacy in the local model. These findings contribute to our understanding of the challenges and opportunities inherent to the implementation of quantum algorithms on noisy near-term devices.
Lieu : Salle : 211 (55-65) Sorbonne Université, 4 place de Jussieu, 75005 Paris