一个通用可编程的高斯玻色子样本采集器用于药物发现.
Shang Yu1,2,3,4, Zhi-Peng Zhong5, Yuhua Fang6
1Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, People's Republic of China. shang.yu@imperial.ac.uk.
Nature computational science
|January 4, 2024
概括
我们开发了一种通用,可编程的量子处理器,用于高斯玻色子采样 (GBS). 这种光子量子设备成功地解决了32节点的图形问题,推进了用于药物发现的量子计算.
科学领域:
- 量子信息科学 量子信息科学
- 量子计算是一种量子计算.
- 光子量子技术的量子技术
背景情况:
- 高斯玻色子采样 (GBS) 为解决与药物发现相关的复杂图形问题提供了潜力.
- 实现量子优势需要大规模,通用可编程的量子硬件.
研究的目的:
- 为GBS开发一种通用,可编程和软件可扩展的光子量子处理器.
- 为了证明处理器在解决图表问题的能力及其在药物发现任务中的应用.
主要方法:
- 开发一个时间组编码的GBS光子量子处理器.
- 通过可编程干扰仪实现可自由调节的挤压参数和任意单元操作.
- 在32个节点的图形上执行群组查找.
主要成果:
- 与经典采样相比,对集群发现的成功概率大约提高了两倍.
- 使用GBS处理器展示了一个多功能量子药物发现平台.
- 成功执行了分子对接和RNA折叠预测任务.
结论:
- 开发的GBS处理器是通用的,可编程和软件可扩展的.
- 这项工作推进了GBS电路及其对现实世界问题的应用,包括药物发现.
- 通用架构为复杂的计算任务中的实际量子优势铺平了道路.
相关概念视频
Drug Discovery: Overview
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
Pharmacogenomics: Identification of New Drug Targets
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...


