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Automated design of quantum-optical experiments for device-independent quantum key distribution

X. Valcarce1,*, P. Sekatski2, E. Gouzien1, A. Melnikov3, and N. Sangouard1

  • 1Université Paris-Saclay, CEA, CNRS, Institut de Physique Théorique, 91191 Gif-sur-Yvette, France
  • 2Department of Applied Physics, University of Geneva, 1205 Geneva, Switzerland
  • 3Terra Quantum AG, 9000 St. Gallen, Switzerland

  • *xavier.valcarce@ipht.fr
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Phys. Rev. A 107, 062607 – Published 7 June, 2023

DOI: https://doi.org/10.1103/PhysRevA.107.062607

Abstract

Device-independent quantum key distribution (DIQKD) reduces the vulnerability to side-channel attacks of standard quantum key distribution protocols by removing the need for characterized quantum devices. The higher security guarantees come, however, at the price of a challenging implementation. Here, we tackle the question of the conception of an experiment for implementing DIQKD with photonic devices. We introduce a technique combining reinforcement learning, an optimization algorithm, and a custom efficient simulation of quantum optics experiments to automate the design of photonic setups maximizing a given function of the measurement statistics. Applying the algorithm to DIQKD, we get unexpected experimental configurations leading to high key rates and to a high resistance to loss and noise. These configurations might be helpful to facilitate a first implementation of DIQKD with photonic devices and for future developments targeting improved performances.

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Outline

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Phys. Rev. A 107, 062607– Published 7 June, 2023
  • Received 5 October 2022
  • Accepted 31 March 2023
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