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2020 – today
- 2024
[i7]Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph
, Marco Cerezo, Zoë Holmes, Hsin-Yuan Huang:
Classically estimating observables of noiseless quantum circuits. CoRR abs/2409.01706 (2024)- [i6]Sacha Lerch, Ricard Puig-i-Valls, Manuel S. Rudolph, Armando Angrisani, Tyson Jones, Marco Cerezo, Supanut Thanasilp, Zoë Holmes:
Efficient quantum-enhanced classical simulation for patches of quantum landscapes. CoRR abs/2411.19896 (2024) - 2023
- [b1]Armando Angrisani:
The disparate impact of noise on quantum learning algorithms. (L'impact disparate du bruit sur les algorithmes d'apprentissage quantique). Sorbonne University, Paris, France, 2023 - [i5]Armando Angrisani, Mina Doosti, Elham Kashefi:
A unifying framework for differentially private quantum algorithms. CoRR abs/2307.04733 (2023) - [i4]Armando Angrisani:
Learning unitaries with quantum statistical queries. CoRR abs/2310.02254 (2023) - 2022
- [i3]Armando Angrisani, Elham Kashefi:
Quantum Local Differential Privacy and Quantum Statistical Query Model. CoRR abs/2203.03591 (2022) - [i2]Armando Angrisani, Mina Doosti, Elham Kashefi:
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms. CoRR abs/2203.03604 (2022) - 2021
- [i1]Armando Angrisani, Brian Coyle, Elham Kashefi:
Probably approximately correct quantum source coding. CoRR abs/2112.06841 (2021)
Coauthor Index
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