True Random Number Generator using Superconducting Qubits
Abdullah Ash Saki, Mahabubul Alam, Swaroop Ghosh · 2019
We evaluated the quality of conventional quantum True Random Number Generator (TRNG) using superconducting qubits from IBM. Our analysis indicated that the 1/0 ratio is severely affected by the noise. We proposed swapping of readout qubit and parameter optimization to fix readout and gate errors. We validate our proposals by running experiments of IBM's su-perconducitng qubit based quantum computer. Experiments show deviation of ≈ 35% from ideal 1/0 ratio for baseline implementation. After the application of our proposed techniques the ratio improves and reaches close to ideal value of 1. The random bits generated through our techniques passes NIST statistical tests as well.