Researchers have developed an autonomous system that leverages large language models (LLMs) to design variational quantum circuits, reducing dependence on human expertise. This framework consists of seven interconnected components, facilitating iterative design under specific constraints. The system's architecture enables the exploration, generation, and validation of quantum circuits, which are then evaluated and reviewed. By integrating LLMs, the system can potentially create high-performing quantum circuits, accelerating advancements in quantum computing. The introduction of such a system has significant implications for the field of quantum computing, as it can automate the design process and lead to breakthroughs in areas like cryptography1. This matters to practitioners because the ability to autonomously design quantum circuits can significantly impact the development of secure cryptographic systems, rendering certain encryption methods obsolete and necessitating the adoption of quantum-resistant cryptography.