Search Results for author: Armando Angrisani

Found 4 papers, 0 papers with code

Learning unitaries with quantum statistical queries

no code implementations3 Oct 2023 Armando Angrisani

On the other hand, all previous algorithms for these tasks require direct access to the Choi-Jamiolkowski state or oracle access to the unitary.

Quantum Machine Learning

A unifying framework for differentially private quantum algorithms

no code implementations10 Jul 2023 Armando Angrisani, Mina Doosti, Elham Kashefi

In this paper, we propose a novel and general definition of neighbouring quantum states.

Adversarial Robustness

Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms

no code implementations7 Mar 2022 Armando Angrisani, Mina Doosti, Elham Kashefi

Differential privacy provides a theoretical framework for processing a dataset about $n$ users, in a way that the output reveals a minimal information about any single user.

Quantum Local Differential Privacy and Quantum Statistical Query Model

no code implementations7 Mar 2022 Armando Angrisani, Elham Kashefi

Quantum statistical queries provide a theoretical framework for investigating the computational power of a learner with limited quantum resources.

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