Quantum Algorithms for Cognitive Healthcare

医疗保健行业正在经历数据爆炸，与此同时，医疗保健成本也在上升。医疗保健领域的认知计算将大数据与先进的机器学习和超级计算机/云服务相结合，帮助医生更早地发现疾病，改善治疗效果，并最终降低护理成本。在这项可行性研究中，我们将研究使用量子机器学习算法来改善医疗保健中的认知计算。在量子处理器上运行的算法有可能执行极快的计算，以解决经典计算机难以计算的问题。这为从医学图像中提取有意义的决策级信息提供了巨大的潜力。

The healthcare industry is experiencing an explosion of data and at the same time the cost of healthcare is rising. Cognitive computing in healthcare is using big data in conjunction with advanced machine learning and supercomputers/cloud services to help doctors detect diseases earlier, improve therapeutic outcomes and ultimately reduce the cost of care. In this feasibility study we will investigate the use of quantum machine learning algorithms to improve cognitive computing in healthcare. Algorithms running on quantum processors have the potential to perform extremely fast calculations to solve problems that are computationally intractable with classical computers. This offer significant potential when extracting meaningful, decision level information from from medical images.