López Bonilla, Luis FranciscoÁlvaro Ballesteros, MarianoCarretero Cerrajero, Manuel2023-11-292023-11-292016-06-29Bonilla, L. L., Álvaro, M., & Carretero, M. (2016). Chaos-based true random number generators. Journal of Mathematics in Industry, 7, 1.2190-5983https://hdl.handle.net/10016/38988Random number (bit) generators are crucial to secure communications, data transfer and storage, and electronic transactions, to carry out stochastic simulations and to many other applications. As software generated random sequences are not truly random, fast entropy sources such as quantum systems or classically chaotic systems can be viable alternatives provided they generate high-quality random sequences sufficiently fast. The discovery of spontaneous chaos in semiconductor superlattices at room temperature has produced a valuable nanotechnology option. Here we explain a mathematical model to describe spontaneous chaos in semiconductor superlattices at room temperature, solve it numerically to reveal the origin and characteristics of chaotic oscillations, and discuss the limitations of the model in view of known experiments. We also explain how to extract verified random bits from the analog chaotic signal produced by the superlattice.17eng© 2016 Bonilla et al.Atribución 3.0 EspañaRandom bit generatorSemiconductor superlatticeDeterministic and stochastic chaosChaos-based true random number generatorsresearch articleFísicaIngeniería IndustrialIngeniería MecánicaMatemáticasMaterialesQuímicahttps://doi.org/10.1186/s13362-016-0026-4open access1117Journal of Mathematics in Industry7AR/0000019948