QRNG Entropy as a Service(EaaS) Platform for Quantum-Safe Entropy and key Delivery

Random numbers [1] are widely used in numerical computing, statistical simulation, random sampling, etc. The security of random numbers is getting more attention. In addition to random numbers, information and network environment security [2] are also very important in real life, such as the generation of verification code for login, QR code for online payment, etc. All random numbers that involve important identity information must have extremely high security to protect personal privacy from being leaked or illegally stolen. At present, the mechanism for generating random numbers by computers is at risk of being attacked which is subject that the generated random numbers may be predicted in some cases.
Random number generation (RNG) [3] has always been one of the biggest problems. The problem with classic random number generators, i.e., pseudorandom number generators, consists in the possibility to know the deterministic process of pseudorandom generation by unwanted persons. This may result, in the case of cryptography, in compromising a myth of security. Another problem may be the incorrect handling of the generated sequence—mostly in cryptographic uses, the generated random sequence is applied once. Its multiple usage may lead to a security breach (e.g., in the case of the OTP cipher, a sufficiently long key should be truly random and used once in that protocol, otherwise it will be possible to break the code).