Spontaneous parametric down-conversion photon sources are scalable in the asymptotic limit for boson-sampling
Keith R. Motes, Jonathan P. Dowling, Peter P. Rohde

TL;DR
This paper demonstrates that scalable boson-sampling using multiplexed SPDC photon sources is feasible in the asymptotic limit, with detector efficiency being the primary limiting factor rather than the photon sources themselves.
Contribution
The authors propose a simple architecture for boson-sampling with multiplexed SPDC sources and analyze the conditions under which it remains scalable, emphasizing the role of detector efficiency.
Findings
Photon-number errors are low enough for correct boson-sampling at sufficient detector efficiency.
Detector efficiency must increase exponentially with the number of photons for scalability.
SPDC sources do not limit scalability if detector efficiency is achieved.
Abstract
Boson-sampling has emerged as a promising avenue towards post-classical optical quantum computation, and numerous elementary demonstrations have recently been performed. Spontaneous parametric down-conversion (SPDC) is the mainstay for single-photon state preparation, the technique employed in most optical quantum information processing implementations to-date. Here we present a simple architecture for boson-sampling based on multiplexed SPDC sources and demonstrate that the architecture is limited only by the post-selection detection efficiency assuming that other errors, such as spectral impurity, dark counts, and interferometric instability are negligible. For any given number of input photons, there exists a minimum detector efficiency that allows post selection. If this efficiency is achieved, photon-number errors in the SPDC sources are sufficiently low as to guarantee correct…
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