How long can it take for GAN (Generative adversarial networks), given its current state of research with regard to its state of the art development, to yield more efficient results in terms of NLP performances, while the major advantages of NLP may be improved by quantum computing?
Regarding the "how," AI can benefit from quantum computing in multiple ways:
Keep in mind that this is a fast-paced field, and new developments could arise that change the landscape significantly. Also, while quantum computing and AI have tremendous potential, they are also accompanied by important ethical and societal considerations that will need to be addressed as the technologies mature.
Dear Yaniv Hozez ,
Quantum computing and artificial intelligence are both transformational technologies and artificial intelligence are likely to require quantum computing to achieve significant progress. Although artificial intelligence produces functional applications with classical computers, it is limited by the computational capabilities of classical computers.
https://research.aimultiple.com/quantum-ai/
Regards,
Shafagat
Quantum natural language processing (QNLP) is the application of quantum computing to natural language processing (NLP). It computes word embeddings as parameterised quantum circuits that can solve NLP tasks faster than any classical computer.[1][2] It is inspired by categorical quantum mechanics and the DisCoCat framework, making use of string diagrams to translate from grammatical structure to quantum processes
Quantum NLP (natural language processing) is a relatively new use of quantum computing that is used to express the meaning of phrases as vectors encoded in quantum computers. The field of QNLP focuses on developing NLP models for use with quantum hardware.
https://medium.com/qiskit/an-introduction-to-quantum-natural-language-processing-7aa4cc73c674
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