论文标题
调查应用早期乳腺癌检测的量子神经网络
Investigation of Applying Quantum Neural Network of Early-Stage Breast Cancer Detection
论文作者
论文摘要
由于医疗机构和计算机辅助图像诊断（CAD）的负担很大，因此在诊断医学上已获得重要的重视，以帮助医务人员为患者提供更好的服务。乳腺癌是一种致命的疾病，如果早期检测到可以成功治疗。量子神经网络（QNN）已由世界各地的许多研究人员介绍，最近由Microsoft，Google和IBM等研究公司提出。在本文中，我们试图回答以下问题：QNN是否可以成为大规模尺度早期乳腺癌检测的有效方法。本文致力于绘制用于检查QNN的基线，结果显示了有前途的机会，可以使用功能齐全的量子计算机将其用于大规模筛查。
Due to the heavy burden on medical institutes and computer-aided image diagnostics (CAD) have been gaining importance in diagnostic medicine to aid the medical staff to attain better service for the patients. Breast cancer is a fatal disease that can be treated successfully if it is detected early. Quantum neural network (QNN) has been introduced by many researchers around the world and presented recently by research corporations such as Microsoft, Google, and IBM. In this paper, we are trying to answer the question of: whether can the QNN be an effective method for mass-scale early breast cancer detection. This paper is dedicated to drawing a baseline for examining QNN, and the results showed a promising opportunity to use it for mass-scale screening using a fully functional quantum computer.
