The speed of quantum random number generators (QRNGs) is a major concern for practical applications. In this work, we introduce scattering as a method to enhance the randomness characteristics of the entropy source. This method allows optical bit extraction with a faster sampling rate without compromising the randomness quality compared to the coherent source based balanced homodyne detection. Scattering is a probabilistic phenomenon which increases the chaotic behaviour of coherent sources. It broadens the distribution of photon statistics and makes it super-Poissonian. We show that a signal with super-Poissonian distribution has better randomness compared to a Poissonian one, indicated by their autocorrelation characteristics and the randomness test results. The use of scattering mechanisms as an entropy source eases the miniaturization of QRNGs, it also makes them compatible and adaptable to existing technologies.

量子随机数发生器 (QRNG) 的速度是实际应用中的一个主要问题。在这项工作中，我们引入散射作为一种增强熵源随机性特征的方法。与基于相干源的平衡零差检测相比，该方法允许以更快的采样率提取光学比特，而不会影响随机性质量。散射是一种概率现象，它增加了相干源的混沌行为。它拓宽了光子统计的分布，使其成为超泊松分布。我们表明，与泊松分布的信号相比，具有超泊松分布的信号具有更好的随机性，这由它们的自相关特性和随机性测试结果表明。使用散射机制作为熵源简化了 QRNG 的小型化，