Driven Boson Sampling

Sonja Barkhofen, Tim J. Bartley, Linda Sansoni, Regina Kruse, Craig S. Hamilton, Igor Jex, and Christine Silberhorn
Phys. Rev. Lett. 118, 020502 – Published 9 January 2017
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Abstract

Sampling the distribution of bosons that have undergone a random unitary evolution is strongly believed to be a computationally hard problem. Key to outperforming classical simulations of this task is to increase both the number of input photons and the size of the network. We propose driven boson sampling, in which photons are input within the network itself, as a means to approach this goal. We show that the mean number of photons entering a boson sampling experiment can exceed one photon per input mode, while maintaining the required complexity, potentially leading to less stringent requirements on the input states for such experiments. When using heralded single-photon sources based on parametric down-conversion, this approach offers an e-fold enhancement in the input state generation rate over scattershot boson sampling, reaching the scaling limit for such sources. This approach also offers a dramatic increase in the signal-to-noise ratio with respect to higher-order photon generation from such probabilistic sources, which removes the need for photon number resolution during the heralding process as the size of the system increases.

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  • Received 1 June 2016

DOI:https://doi.org/10.1103/PhysRevLett.118.020502

© 2017 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Sonja Barkhofen1,*, Tim J. Bartley1, Linda Sansoni1, Regina Kruse1, Craig S. Hamilton2, Igor Jex2, and Christine Silberhorn1

  • 1Applied Physics, University of Paderborn, Warburger Straße 100, 33098 Paderborn, Germany
  • 2FNSPE, Czech Technical University in Prague, Břehová 7, 119 15, Praha 1, Czech Republic

  • *Corresponding author. sonja.barkhofen@upb.de

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Issue

Vol. 118, Iss. 2 — 13 January 2017

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