Quantum AI is the integration of quantum computing and artificial
intelligence, an interaction with the expected impact to be quite positive for the two.
For example, QNLP and QCV have the potential to provide radical enhancements to
the present methodologies that are used to program machines to comprehend textual as
well as image data by harnessing the concept of superposition, entanglement, and
quantum parallelism. In this chapter, the application of Quantum AI in NLP and
Computer Vision is discussed through quantum language models, quantum image
representation, as well as a hybrid approach. However, the tools presented here,
together with the theory, have shown the ability to possibly achieve speedup and better
efficiency; however, the current NISQ hardware limits the implementation of the tools
presented herein. This chapter also discusses difficulties, further study prospects, and
prospects for Quantum AI in the domains of NLP and Computer Vision.
Keywords: Artificial neural networks, Computer vision, Data encoding, Deep learning, Feature extraction, Grover’s algorithm, Image classification, Natural language processing (NLP), Pattern recognition, Quantum algorithms, Quantum neural networks (QNNs), Quantum-enhanced computer vision, Support vector machines (SVMs).
