This research investigates the potential of quantum computing to elevate self-piloted unmanned vehicles (SPUVs) by directly addressing some of the most significant outstanding challenges. These revolve around the crucial need for optimization, fast and efficient data processing, and solid security in these systems. When it comes to making them fully autonomous and capable of operating in any environment, these remain largely unsolved, classical problems. SPUVs operate in the realm of complexity. The paths they must follow in route planning can involve an exponential number of moves and branched decisions, whereas the fusion of the vehicle’s many sensors must take into account a virtually limitless set of potential measurements and signals from the environment. As these systems make ever more autonomous decisions and as they expand over vast regions of Earth, sea, and sky they are bound, under the laws of physics, to “hit the wall” of computability.