Detailed study of Gaussian boson sampling

By R. Kruse, C. Hamilton, L. Sansoni, S. Barkhofen, Christine Silberhorn, I. Jex. Physical Review A, 2018

178 citations recorded by the source corpus.

Since the development of Boson sampling, there has been a quest to construct more efficient and experimentally feasible protocols to test the computational complexity of sampling from photonic states. In this paper we interpret and extend the results presented in [Phys. Rev. Lett. 119, 170501 (2017)]. We derive an expression that relates the probability to measure a specific photon output pattern from a Gaussian state to the \textit{hafnian} matrix function and us it to design a Gaussian Boson sampling protocol. Then, we discuss the advantages that this protocol has relative to other photonic protocols and the experimental requirements for Gaussian Boson Sampling. Finally, we relate it to the previously most general protocol, Scattershot Boson Sampling [Phys. Rev. Lett. 113, 100502 (2014)]

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/d0e6942b11eaab2d61fcaf35f9314f7795e16dfc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Fabio Sciarrino
2. Nicolò Spagnolo
3. Fulvio Flamini

In Atomic and Molecular Physics, and Optics

1. Fabio Sciarrino
2. Nicolò Spagnolo
3. Fulvio Flamini

Citations in the corpus

• Photonic quantum information processing: a review (2018, background): “Since 2015, a number of alternative schemes have been proposed: driven BosonSampling, where the input photons are generated within the interferometer [603], BosonSampling with microwave photons [604] or squeezed states [605, 606], one using Gaussian measurements and the symmetry of the evolution und”