Qualcomm AI Maps DL to Quantum Computer via Quantum Field Theory

The development of increasingly complex and powerful architectures has enabled deep learning (DL) to scale to large, heterogeneous, complex and multiclass problems. In step with the stunning successes, however, DL training algorithms have become very computationally expensive. With Moore's law faltering, the AI research community is seeking new solutions to solve this DL issue. Fortunately, exciting possibilities are expected to open up due to the emergence of quantum computing devices that can overcome the technological and thermodynamical limits of classical computation. Research on the exploitation of quantum computing devices to carry out DL however remains in its nascent phase.