论文标题
优化玻色子采样的自发参数下调源
Optimizing spontaneous parametric down-conversion sources for boson sampling
论文作者
论文摘要
光子量子技术的重要步骤是通过玻色子采样来证明量子优势。为了防止玻色子采样的经典模拟性，光子几乎必须完全相同，几乎没有损失。这两个要求通过光谱过滤连接，改善一个要求导致另一个要求减少。生成单个光子的一种经过验证的方法是自发参数下调（SPDC）。我们表明，对于SPDC，始终可以找到无法区分性和损失之间的最佳权衡。我们得出的结论是，从计算复杂性的角度来看，可以使用SPDC源进行50光子散射玻色子采样实验。为此，我们在弱抽水和单个空间模式下在数值上优化了SPDC源。
An important step for photonic quantum technologies is the demonstration of a quantum advantage through boson sampling. In order to prevent classical simulability of boson sampling, the photons need to be almost perfectly identical and almost without losses. These two requirements are connected through spectral filtering, improving one leads to a decrease of the other. A proven method of generating single photons is spontaneous parametric downconversion (SPDC). We show that an optimal trade-off between indistinguishability and losses can always be found for SPDC. We conclude that a 50-photon scattershot boson-sampling experiment using SPDC sources is possible from a computational complexity point of view. To this end, we numerically optimize SPDC sources under the regime of weak pumping and with a single spatial mode.
