Quantum Computing and Generative AI

Quantum computing and generative artificial intelligence are two areas that can be associated with two of the revolutionary concepts in the recent past. Quantum computation is a technique that uses quantum mechanics principles to solve computational problems with much higher efficiency than other computational systems. On the other hand, supervised computing intelligence utilizes AI computations to produce new information such as pictures, text, and tones that resemble the foreseen example sets that the computations were prepared on. Thus, this section aims to evaluate the combination of two modern technologies and their possibilities in employing both in the context of data security and protection. This will look at how the expansion of speed from quantum computers can be used when combined with the ability to generate useful and rich data through generative simulated intelligence. As these innovations develop, people start wondering about their sinister motives as far as cracking ensembles or creating fake images using deepfakes. It is necessary to regulate the risk-free and ethical applications of quantum computing and generative computer-based intelligence to guarantee the continued belief in enhanced frameworks and to protect important data. In other words, the goal of this chapter is to give an all-inclusive account of the security threats brought to bear by quantum computing and generative artificial intelligence. The publication under discussion is designed to outline possible risks and threats, viable options for avoiding them, and principles for ensuring information security in the age of such complicated stages. In this section, there are brief explanations of the current examinations as well as the status of security in quantum computing and generative AI in light of real case scenarios presented. It quite objectively says something about it, even though there is terror potential in these innovations, and some doubts regarding trustworthy advancement and implementation.