Print Email Facebook Twitter Optimizing entanglement generation and distribution using genetic algorithms Title Optimizing entanglement generation and distribution using genetic algorithms Author Horta Ferreira da Silva, F. (TU Delft QID/Wehner Group; TU Delft QuTech Advanced Research Centre; Kavli institute of nanoscience Delft) Torres-Knoop, Ariana (SURF, Utrecht) Coopmans, T.J. (TU Delft QID/Elkouss Group; TU Delft QuTech Advanced Research Centre; Kavli institute of nanoscience Delft) Maier, D.J. (TU Delft QID/Wehner Group; TU Delft QuTech Advanced Research Centre; Kavli institute of nanoscience Delft) Wehner, S.D.C. (TU Delft Quantum Internet Division; TU Delft Quantum Information and Software; TU Delft QuTech Advanced Research Centre; Kavli institute of nanoscience Delft) Department Quantum Internet Division Date 2021 Abstract Long-distance quantum communication via entanglement distribution is of great importance for the quantum internet. However, scaling up to such long distances has proved challenging due to the loss of photons, which grows exponentially with the distance covered. Quantum repeaters could in theory be used to extend the distances over which entanglement can be distributed, but in practice hardware quality is still lacking. Furthermore, it is generally not clear how an improvement in a certain repeater parameter, such as memory quality or attempt rate, impacts the overall network performance, rendering the path toward scalable quantum repeaters unclear. In this work we propose a methodology based on genetic algorithms and simulations of quantum repeater chains for optimization of entanglement generation and distribution. By applying it to simulations of several different repeater chains, including real-world fiber topology, we demonstrate that it can be used to answer questions such as what are the minimum viable quantum repeaters satisfying given network performance benchmarks. This methodology constitutes an invaluable tool for the development of a blueprint for a pan-European quantum internet. We have made our code, in the form of NetSquid simulations and the smart-stopos optimization tool, freely available for use either locally or on high-performance computing centers. Subject Entanglement distributionGenetic algorithmsOptimizationQuantum internetQuantum networkQuantum repeaterRepeater chain To reference this document use: http://resolver.tudelft.nl/uuid:213bb064-552f-4462-8a94-5b40c4f3c7c0 DOI https://doi.org/10.1088/2058-9565/abfc93 ISSN 2058-9565 Source Quantum Science and Technology, 6 (3) Part of collection Institutional Repository Document type journal article Rights © 2021 F. Horta Ferreira da Silva, Ariana Torres-Knoop, T.J. Coopmans, D.J. Maier, S.D.C. Wehner Files PDF Ferreira_da_Silva_2021_Qu ... 035007.pdf 4.1 MB Close viewer /islandora/object/uuid:213bb064-552f-4462-8a94-5b40c4f3c7c0/datastream/OBJ/view