The proposed tutorial, “Quantum Fuzzy Logic,” aims to introduce participants to the intersection of quantum computing and fuzzy logic, an emerging interdisciplinary field. It will provide a foundational overview of quantum computing tailored for fuzzy logic experts and the state-of-the-art algorithms integrating quantum computing and fuzzy logic. The session will explore two main research directions: using quantum computing to develop innovative fuzzy logic algorithms and employing classical fuzzy logic techniques to enhance quantum computing’s reliability. The tutorial will feature theoretical lectures and hands-on exercises, covering topics like quantum fuzzy inference engines and error mitigation techniques using fuzzy clustering. The organizers, experts in quantum and fuzzy systems, aim to equip attendees with both knowledge and practical skills to advance research in uncertain and dynamic computational environments.