Kim Yosep, Hong Kang-Hee, Kim Yoon-Ho, Huh Joonsuk
Opt Express. 2020 Mar 2;28(5):6929-6936. doi: 10.1364/OE.384973.
BosonSampling is a problem of sampling events according to the transition probabilities of indistinguishable photons in a linear optical network. Computational hardness of BosonSampling depends on photon-number statistics of the input light. BosonSampling with multi-photon Fock states at the input is believed to be classically intractable but there exists an efficient classical algorithm for classical input states. In this paper, we present a mathematical connection between BosonSampling with quantum and classical light inputs. Specifically, we show that the generating function of a transition probability for Fock-state BosonSampling (FBS) can be expressed as a transition probability of thermal-light inputs. The closed-form expression of a thermal-light transition probability allows all possible transition probabilities of FBS to be obtained by calculating a single matrix permanent. Moreover, the transition probability of FBS is shown to be expressed as an integral involving a Gaussian function multiplied by a Laguerre polynomial, resulting in a fast oscillating integrand. Our work sheds new light on computational hardness of FBS by identifying the mathematical connection between BosonSampling with quantum and classical light.
玻色子采样是一个根据线性光学网络中不可区分光子的跃迁概率对事件进行采样的问题。玻色子采样的计算难度取决于输入光的光子数统计。人们认为输入为多光子福克态的玻色子采样在经典情况下是难以处理的,但对于经典输入态存在一种有效的经典算法。在本文中,我们给出了量子光输入和经典光输入的玻色子采样之间的数学联系。具体而言,我们表明福克态玻色子采样(FBS)跃迁概率的生成函数可以表示为热光输入的跃迁概率。热光跃迁概率的闭式表达式使得通过计算单个矩阵的行列式就能得到FBS的所有可能跃迁概率。此外,FBS的跃迁概率被证明可以表示为一个涉及高斯函数乘以拉盖尔多项式的积分,从而得到一个快速振荡的被积函数。我们的工作通过确定量子光和经典光的玻色子采样之间的数学联系,为FBS的计算难度提供了新的见解。