Quantum noise is a key obstacle in the growth of modern quantum computers. While it can lead to erroneous outputs in quantum computations, it can also be used as a tool for applications such as fuzzing. Fuzzing is a technique that uses numerous randomized input values to test the software for security flaws and bugs, automating the bug and vulnerability search process. This paper discusses the potential uses of quantum fuzzing for defense applications and how quantum computing random number generation capabilities may enhance existing fuzzing techniques. A discussion of the techniques’ utility for quantum computing applications is also included.

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Dominic Rosch-Grace and Jeremy Straub, "Quantum fuzzing for defense applications," Proc. SPIE PC12093, Quantum Information Science, Sensing, and Computation XIV, PC1209303 (Presented at SPIE Defense + Commercial Sensing: April 07, 2022; Published: 30 May 2022); https://doi.org/10.1117/12.2632520.6305106637001.