Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks
Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. Amongst them is the variational quantum algorithm, a hybrid quantum-classical algorithm that optimizes the p
