It is predicted that quantum computers will dramatically outperform their conventional counterparts. However, large-scale universal quantum computers are yet to be built. Boson sampling is a rudimentary quantum algorithm tailored to the platform of photons in linear optics, which has sparked interest as a rapid way to demonstrate this quantum supremacy. Photon statistics are governed by intractable matrix functions known as permanents, which suggests that sampling from the distribution obtained by injecting photons into a linear-optical network could be solved more quickly by a photonic experiment than by a classical computer. The contrast between the apparently awesome challenge faced by any classical sampling algorithm and the apparently near-term experimental resources required for a large boson sampling experiment has raised expectations that quantum supremacy by boson sampling is on the horizon. Here we present classical boson sampling algorithms and theoretical analyses of prospects for scaling boson sampling experiments, showing that near-term quantum supremacy via boson sampling is unlikely. While the largest boson sampling experiments reported so far are with 5 photons, our classical algorithm, based on Metropolised independence sampling (MIS), allowed the boson sampling problem to be solved for 30 photons with standard computing hardware. We argue that the impact of experimental photon losses means that demonstrating quantum supremacy by boson sampling would require a step change in technology.
翻译:据预测,量子计算机将大大优于其常规计算机。然而,大规模通用量子计算机尚未建成。博森取样是针对线性光学光学中光子平台定制的初级量子算法,它迅速激发了人们的兴趣,以证明量子至上。光子统计由被称为永久的棘手矩阵函数管理,这表明通过将光子注射成线性光学网络而获得的分布样本,可以通过光学实验比古典计算机更快地解决。任何古典采样算法和大型boson采样实验所需的近期实验资源所面临的明显惊人挑战之间的对比,提高了人们的期望,即博森取样的量级优势在地平线上。在这里,我们提出了典型的博森采样算法和对扩大博森采样试验前景的理论分析,表明通过博森采样法几乎不可能实现量级。尽管迄今报告的最大波子采样实验用5个光子进行,但我们基于Metopolized 独立采样(MIS)的经典算法允许用标准计算硬件对30个光子取样进行解决的问题。我们主张取样问题,但需要通过标准级计算机级技术进行量级的测算。我们认为,需要通过测算。