High-efficiency multiphoton boson sampling

By Hui Wang, Yu He, Yuhuai Li, Z. Su, Bo Li, Heliang Huang, X. Ding, Ming-Cheng Chen, Chang Liu, J. Qin and 8 more. Nature Photonics, 2017

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Classical boson sampling algorithms with superior performance to near-term experiments (2017, methodology): “We can perform the same analysis with q t and R(n) = 76n −1MHz as per [6].”
Integrated photonic quantum technologies (2019, methodology): “n silicon-photonics [98]. However, processing significantly larger numbers of photons will likely rely on the continuous development of multiplexed parametric SPSs [49, 50] and de-multiplexed QD-SPSs [56, 57]. They both require a network of fast and low-loss optical switches. Recent progress in thin”
Quantum computational advantage using photons (2020, background): “Improved on-demand single-photon sources based on semiconductor quantum dots were developed and employed to significantly increase the multi-photon sampling rates ( 25 - 27 ), which culminated at 14-photon detection ( 27 ).”
Superconducting nanowire single-photon detectors for quantum information (2020, background): “Before 2017, majority of the optical quantum computation experiments were performed at wavelengths of approximately 800 or 900 nm, where high-quality single-photon sources and SPDs (SPAD: DE of ~60% for 800 nm and ~30% for 900 nm) are available [173-176].”