Quantum Machine Learning as a Future Battlefield Multiplier
Today’s battlefield includes all types of equipment, manned and unmanned. However, in the future, battles will be relatively quiet, yet lightning fast in operations and outcomes. For example, in a remote training site, the U.S. Army is practicing the use of newly developed quantum machine-learning (QML)-enabled aerial and ground manned/unmanned systems. The form factor for the QML has decreased by orders of magnitude such that QML algorithms execute on micropayloads hosted on hypersonic platforms. Since opposing forces have similar capabilities, the goal is to deplete each other’s combat power in nanoseconds. Spread over thousands of kilometers in all directions, the QML-driven battle ends in less than five minutes, leaving thousands of drones and robotic vehicles with multiple multiprocessors decimated and neutralized.
