Quantum Medical Imaging Algorithms

TL;DR

This paper introduces quantum algorithms for medical image reconstruction that offer exponential speedup over classical methods, leveraging quantum states for input data and discussing quantum post-processing for output analysis.

Contribution

The paper presents novel quantum algorithms for medical image reconstruction with exponential speedup and methods for extracting information from quantum outputs.

Findings

Exponential speedup in image reconstruction algorithms.

Quantum input and output processing techniques.

Discussion of quantum post-processing methods.

Abstract

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.