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Advanced sciences and technologies for security applications

Self-piloted Unmanned Vehicles in the Quantum Realm

Sanjay Kumar Kodur, Umair B. Chaudhry

Published Jul 24, 2025• 1 citation
Publisher
DOI
10.1007/978-3-031-96782-5_4

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Quantum Computing (QC) is the next step in processing power by using principles like superposition and entanglement to solve problems that are otherwise intractable for classical computers. Within this realm, Quantum Genetic Algorithms (QGAs) are one of the most powerful tools that combine the evolutionary strategies of genetic algorithms with the unparalleled efficiency of QC. These algorithms are specifically suited to the exploration of large, complex problem spaces and would, therefore, make for a fantastic fit for enhancing the capabilities of Unmanned Aerial Vehicles (UAVs). Quantum genetics can be coupled with UAV technology to open new avenues in the advancement of aerial systems. QGAs may be used to allow UAVs to perform better in critical areas such as real-time obstacle avoidance, dynamic mission planning, energy-efficient routing, and swarm intelligence. These aerial vehicles can work more effectively in complicated and dynamic environments because they can work on multiple possibilities at once. This chapter will dig into the groundbreaking integration of QGAs with UAV systems, providing a revolutionary approach to enhancing UAV efficiency and autonomy, with in-depth examination of the conceptual framework behind QGAs, their applications within UAV systems, and essential hardware and software requirements that integrate quantum processors into UAV architectures. This further opens up avenues for ascertaining potential applications of QGAs in areas such as military operations, environmental monitoring, and disaster management in order to showcase the wide impact these technologies might carry across different sectors. This chapter would serve as a roadmap for researchers and discuss the hurdles in adapting quantum algorithms for large fleets of UAVs, technological barriers existing today, and the progress required to fully unleash the power of QC in aerial systems.