Enhancement of magnetic resonance techniques using quantum algorithms

基于磁共振（MR）的技术已经用诸如NMR和MRI技术的工具彻底改变了分子表征和医学成像。然而，这些技术存在灵敏度低的问题，这迫使行业使用昂贵的磁体或长扫描/成像时间来提高图像质量。这个I2 I项目旨在基于我们的专利量子信息技术的原型算法技术，以提高MR技术的分辨率。我们的专利要求保护一种量子压缩算法，该算法通过在目标成像之前重复应用固定的量子变换来增强目标的有效可检测性。该算法通过压缩样本中目标自旋的熵（即随机性）并将压缩的熵传递到样本中的辅助元素来工作。通过这样做，重复的量子变换减少了目标自旋的熵并使它们超极化，这使得它们能够在磁共振中产生更强的信号，该项目的目标是开发本发明的原型，并与NMR和MRI领域的一些领先公司合作进行多次试运行，以证明该技术的有效性，进行微调，以满足行业的具体要求。

Magnetic Resonance (MR) based technologies have revolutionized molecular characterization and medical imaging with tools such as NMR and MRI technologies. These techniques however, suffer from low sensitivity which has pushed the industry to using costly magnets or long scanning/imaging times in order to improve image quality.This I2I project aims to prototype algorithmic techniques based on our patented quantum information technology to enhance the resolution of MR technologies. Our patent claims a quantum compression algorithm that, with the repeated application of a fixed quantum transformation before a target is imaged, enhances the effective detectability of the target.The algorithm works by compressing the entropy (i.e. randomness) of the target spins in the sample and transferring the compressed entropy to auxiliary elements in the samples. By doing so, the repeated quantum transformations reduce the entropy of the target spins and hyperpolarizes them, which enables them to generate a stronger signal in the magnetic-resonance-based detection apparatus.The goal of the project is to develop prototypes for this invention and launch a number of trial runs in collaboration with some of the leading companies in the field of NMR and MRI to demonstrate the effectiveness of the technology and fine-tune it to meet specific requirements of the industry.