论文标题

量子医学成像算法

Quantum Medical Imaging Algorithms

论文作者

Kiani, Bobak Toussi, Villanyi, Agnes, Lloyd, Seth

论文摘要

医学成像中的一个核心任务是从医疗设备(例如CT,MRI和PET扫描仪)收集的数据中重建图像或功能。当数据输入作为量子状态时,我们为图像重建提供了图像重建的量子算法。由于我们的算法的输出存储在量子状态下,因此可以经典地无法有效访问重建图像的单个像素。相反,我们讨论了使用各种量子后处理算法从输出中提取信息的各种方法。

A central task in medical imaging is the reconstruction of an image or function from data collected by medical devices (e.g., CT, MRI, and PET scanners). We provide quantum algorithms for image reconstruction with exponential speedup over classical counterparts when data is input as a quantum state. Since outputs of our algorithms are stored in quantum states, individual pixels of reconstructed images may not be efficiently accessed classically; instead, we discuss various methods to extract information from outputs using a variety of quantum post-processing algorithms.

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