At The Intersection of Medical Robotic Surgery and Drug Discovery with Quantum Computing

Abstract

Classical natural language processing (NLP) has been successfully modeled and implemented to enable robots or chatbots to have some understanding of human languages and communication, but this has not been very effective to help the robots communicate effectively. Quantum computers introduce a multitude of new ways in which more highly complex and integrated robotics modeling and computations can be achieved, delivering finer control in robotics use cases with humans. As mentioned in articles “Genome assembly using quantum and quantum‑inspired annealing” “The pandemic highlighted the importance of and breadth of robotics applications, shining a light on a potential robotic future in healthcare, which we discuss here”, there is a lot more to explore in quantum computing. However, in this study, we will present how quantum robotics can help in developing superior surgical techniques where robots perform advanced medical surgeries, with a more sophisticated, faster, less intrusive process that achieves more successful patient outcomes in complex surgery processes that might otherwise take repeat surgeries with multiple human medical teams. This approach will include the use of quantum natural language processing (QNLP) [1,2]