Read the original article: Scientists develop quantum machine learning methods for reasoning
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. In this paper researchers e
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Read the original article: Scientists develop quantum machine learning methods for reasoning