Quantum computers can learn to reason, even when burdened with uncertainty and incomplete data, concludes a team of scientists from U.K.-based quantum software developer Cambridge Quantum Computing (CQC).
This ability is similar to intuitive human reasoning, which allows people to draw conclusions and make decisions despite a lack of comprehensive information. CQC’s research confirms a belief among many scientists that quantum computers have a natural propensity for reasoning.
In a paper published on the open-access scholarly archive arXiv, CQC scientists detail how they developed methods that demonstrated how quantum machines can learn to infer hidden information from general probabilistic reasoning models. If replicable, these methods could improve a broad range of applications for quantum computing, including medical diagnoses, fault-detection in mission-critical machines, and financial forecasting for investment management.
Source:: Network World – Data Center