Quantum-enhanced reinforcement learning is a term from the fields of artificial intelligence, automation, and industry and Industry 4.0. It is a new method for machines and computers to learn faster and more intelligently by utilising the special capabilities of quantum computers.
Reinforcement learning is a type of machine learning where artificial intelligence learns to become smarter through trial and error – similar to how children or animals learn from their experiences. In the quantum-assisted approach, certain computational processes are performed on quantum computers. These computers can explore many possibilities simultaneously, significantly speeding up learning processes.
Imagine a robot in a factory learning to assemble components more efficiently. With classical techniques, this learning takes many days because each possibility has to be tested individually. With quantum-assisted reinforcement learning, the robot can try out many combinations simultaneously and learns in hours what would otherwise take days. This leads to faster improvements, higher productivity, and lower costs.
Quantum-assisted reinforcement learning offers great potential for companies, especially those relying on automation, to further optimise processes.
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