Researchers at Princeton University have developed Qumus, a robotic laboratory system powered by artificial intelligence, which can autonomously create graphene and build quantum devices, including graphene transistors. This system combines large language models, robotics, and automated laboratory equipment to plan and execute experiments without human intervention. By leveraging computer vision and machine learning algorithms, Qumus can analyze and revise its experiments, accelerating the discovery and fabrication of quantum materials. The Qumus system has the potential to significantly advance the field of quantum materials, particularly in the development of van der Waals materials1. This breakthrough could lead to the creation of more efficient and powerful quantum devices. The ability of Qumus to operate autonomously and accelerate experimentation workflows has significant implications for practitioners in the field, as it could enable faster development and testing of new quantum materials and devices, so what matters most is how this technology will be utilized to drive innovation in the quantum industry.