Approaches to predicting the results of generating random binary sequences on quantum computing devices

Abstract: The functionality of the application with a graphical interface for generating binary sequences on cloud quantum computers has been improved by adding software tools for building regression models. Multiple linear regression and binary selection models have been built, using the current technical characteristics of quantum states as independent parameters. The predicted values reflect the expected results of testing the sequences with the NIST STS statistical test set, as well as the degree of uniformity in the distribution of «0» and «1» in the generated sequences. Based on information about the current technical characteristics of the quantum processor, the study proposes approaches for predicting the results of random number generation on quantum computing devices, which can be useful in designing a quantum circuit before it is actually run.

Keywords: regres-sion analysis, qubit, random number generation, quantum computer