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Stefano Pirandola

Researcher at University of York

Publications -  311
Citations -  18606

Stefano Pirandola is an academic researcher from University of York. The author has contributed to research in topics: Quantum & Quantum entanglement. The author has an hindex of 51, co-authored 286 publications receiving 14410 citations. Previous affiliations of Stefano Pirandola include Centre for Quantum Technologies & Massachusetts Institute of Technology.

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Optimization and learning of quantum programs

TL;DR: This work proves that the search for the optimal quantum program is a convex optimization problem, and applies this general result to a number of different designs for the programmable quantum processor, from the shallow protocol of quantum teleportation, to deeper schemes relying on port-based teleportation and parametric quantum circuits.
Posted Content

A reply to "Problems with modelling closed timelike curves as post-selected teleportation"

TL;DR: In this article, a more careful analysis confirms that indeed there is no paradox, contrary to his claims, and points out that Ralph has not accounted for all the interactions needed for his construction, which voids our argument that P-CTCs are able to resolve such types of paradoxes.
Journal ArticleDOI

Mixed state entanglement classification using artificial neural networks

TL;DR: In this article, the authors extend the use of SNNS to mixed, multipartite states, providing a versatile and efficient tool for the investigation of intricately entangled quantum systems.
Posted Content

Tight finite-resource bounds for private communication over Gaussian channels.

TL;DR: It is shown how a class of finite-energy resource states are able to increasingly approximate the infinite-energy bounds for decreasing purity, so that they provide tight upper bounds to the secret-key capacity of one-mode phase-insensitive Gaussian channels.
Posted Content

Composably secure data processing for Gaussian-modulated continuous variable quantum key distribution

TL;DR: In this article, a Gaussian-modulated coherent-state protocol with homodyne detection in the general setting of composable finite-size security is considered, and the output classical data is post-processed via procedures of parameter estimation, error correction, and privacy amplification.