Quantum Computing and Generative AI: Prospects and Challenges

How quantum computing can benefit generative AI and the drawbacks.

Quantum computing is a paradigm of computation that exploits the principles of quantum mechanics to perform operations that are impossible or intractable for classical computers. Generative AI is a branch of artificial intelligence that aims to create novel and realistic data, such as images, text, music, or speech, from a given input or latent space.

Both fields have seen remarkable advances in recent years and have the potential to revolutionize various domains of science, technology, and society. However, they also face significant challenges and limitations that hinder their full development and adoption. In this article, we will explore how quantum computing can benefit generative AI, the drawbacks to quantum computing for generative AI, the barriers to general quantum computing use, and how general availability to quantum computing could increase benefits and risks.