Scientists at Cambridge Quantum Computing (CQC) have developed methods and demonstrated that quantum machines can learn to infer hidden information from very general probabilistic reasoning models. These methods could improve a broad range of applications, where reasoning in complex systems and quantifying uncertainty are crucial. Examples include medical diagnosis, fault-detection in mission-critical machines, or financial forecasting for investment management. Researchers established that quantum computers can deal with the uncertainty that is typical of real-world scenarios, and which humans can often handle in an intuitive way.
Source: https://www.helpnetsecurity.com/2021/04/12/quantum-reasoning/