High-speed self-certifying Quantum Random Number Generator for simulations

随机数生成器(RNG)用于无数不同的应用，从加密到随机模拟等非加密用例。然而，RNG的质量经常被忽视，但除了加密方案的有效性外，RNG还可以显著提高随机建模方法的准确性和求解时间。由于量子物理过程本质上的不可预测性，量子随机数生成器(QRNG)改进了常见的伪随机和准随机生成器。我们将把量子骰子的QRNG与哈特里中心的蒙特卡洛能力结合起来，并在汇丰银行的指导下，在与金融服务业相关的测试案例中演示它们的用法。

Random number generators (RNGs) are used for a myriad of different applications, ranging from encryption to non-cryptographic use cases such as stochastic simulations. However, the quality of RNGs is often overlooked but can significantly improve the accuracy and time to solution of stochastic modelling methodologies in addition to the effectiveness of encryption schemes. Quantum Random Number Generators (QRNGs) improve on the commonplace pseudo- and quasi-random generators due to the intrinsically unpredictable nature of quantum physical processes. We will combine a QRNG from Quantum Dice with the Hartree Centre's Monte Carlo capabilities and demonstrate their usage on test cases relevant to the Financial Services sector under the guidance of HSBC.