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Carlos Abellan

Researcher at ICFO – The Institute of Photonic Sciences

Publications -  35
Citations -  5969

Carlos Abellan is an academic researcher from ICFO – The Institute of Photonic Sciences. The author has contributed to research in topics: Bell test experiments & Random number generation. The author has an hindex of 16, co-authored 34 publications receiving 4747 citations. Previous affiliations of Carlos Abellan include Pázmány Péter Catholic University.

Papers
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Proceedings ArticleDOI

Quantum technologies in support for 5G services: ordered proof-of-transit

TL;DR: This work presents a method for supporting traffic attestation (ordered proof-of-transit) in service chaining and other traffic flows that uses cryptographic algorithms in combination with quantum technologies (QKD, QRNG).
Journal ArticleDOI

Loophole-free Bell inequality violation with superconducting circuits

TL;DR: In this paper , the authors demonstrate a loophole-free violation of Bell's inequality with superconducting circuits, which are a prime contender for realizing quantum computing technology, and demonstrate that non-locality is a viable new resource in quantum information technology realized with quantum communication, quantum computing and fundamental physics.
Patent

Process for quantum random number generation in a multimode laser cavity

TL;DR: In this paper, a process and system for producing random numbers by means of a quantum random number generator comprising the steps of operating a multimode laser under the gain-switching mechanism, and detecting the random intensity pattern produced by the intermode beating occurring within the laser cavity.
Journal ArticleDOI

Experimental measurement-dependent local Bell test with human free will

TL;DR: Patzutz et al. as discussed by the authors used human-generated random numbers in selecting the measurement settings and implemented with space-like separation between two distant measurement sites, and the experimental result violates a Bell's inequality, which cannot be explained by local hidden variable models with independence parameter.