Enhancement of magnetic resonance techniques using quantum algorithms

基于磁共振(MR)的技术已经通过核磁共振和核磁共振技术等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，这促使该行业使用昂贵的磁铁或较长的扫描/成像时间来提高图像质量。这个I2I项目旨在基于我们的专利量子信息技术构建算法技术的原型，以提高MR技术的分辨率。我们的专利要求一种量子压缩算法，该算法在目标成像之前重复应用固定的量子变换，增强了目标的有效检测能力。该算法的工作原理是压缩样本中目标自旋的熵(即随机性)，并将压缩后的熵传递到样本中的辅助元素。通过这样做，重复的量子变换降低了目标自旋的熵并使它们超极化，从而使它们能够在基于磁共振的检测设备中产生更强的信号。该项目的目标是为这项发明开发原型，并与核磁共振和核磁共振领域的一些领先公司合作开展一系列试运行，以展示这项技术的有效性，并对其进行微调，以满足行业的特定要求。

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.