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  • 2017 European Conference on Lasers and Electro-Optics and European Quantum Electronics Conference
  • (Optica Publishing Group, 2017),
  • paper EB_P_9

Genetic algorithms to learn an unknown linear transformation

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Abstract

Integrated photonics enabled the capability to implement complex interferometers with a large number of modes. The applications of this experimental toolbox can be found in different quantum information tasks, including quantum walks and simulation [1], quantum metrology [2], up to the implementation of Boson Sampling [3-6], one of the most promising candidates to reach experimentally the regime where a quantum device solves a computational problem faster than its classical counterpart. Both from a fundamental aspect and for characterization purposes, it becomes crucial to identify tools allowing to learn the action of an unknown transformation.

© 2017 IEEE

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