Armando Angrisani

13 papers Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation.
CoRR
Victor Martinez, Armando Angrisani, Ekaterina Pankovets, Omar Fawzi, Daniel Stilck França
2025 J jnl
Learning unitaries with quantum statistical queries.
Quantum
Armando Angrisani
2025 J jnl
Quantum Differential Privacy in the Local Model.
IEEE Trans. Inf. Theory
Armando Angrisani, Elham Kashefi
2025 J jnl
Role of scrambling and noise in temporal information processing with quantum systems.
CoRR
Weijie Xiong, Zoë Holmes, Armando Angrisani, Yudai Suzuki, Thiparat Chotibut, Supanut Thanasilp
2025 J jnl
When quantum resources backfire: Non-gaussianity and symplectic coherence in noisy bosonic circuits.
CoRR
Varun Upreti, Ulysse Chabaud, Zoë Holmes, Armando Angrisani
2024 J jnl
Classically estimating observables of noiseless quantum circuits.
CoRR
Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph, Marco Cerezo, Zoë Holmes, Hsin-Yuan Huang
2024 J jnl
Efficient quantum-enhanced classical simulation for patches of quantum landscapes.
CoRR
Sacha Lerch, Ricard Puig-i-Valls, Manuel S. Rudolph, Armando Angrisani, Tyson Jones, Marco Cerezo, Supanut Thanasilp, Zoë Holmes
2023 J jnl
A unifying framework for differentially private quantum algorithms.
CoRR
Armando Angrisani, Mina Doosti, Elham Kashefi
2023 J jnl
Learning unitaries with quantum statistical queries.
CoRR
Armando Angrisani
2023 — —
The disparate impact of noise on quantum learning algorithms. (L'impact disparate du bruit sur les algorithmes d'apprentissage quantique).
Armando Angrisani
2022 J jnl
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms.
CoRR
Armando Angrisani, Mina Doosti, Elham Kashefi
2022 J jnl
Quantum Local Differential Privacy and Quantum Statistical Query Model.
CoRR
Armando Angrisani, Elham Kashefi
2021 J jnl
Probably approximately correct quantum source coding.
CoRR
Armando Angrisani, Brian Coyle, Elham Kashefi