REAGAN - Real-life applications with Gaussian boson sampling

REAGAN - 高斯玻色子采样的现实应用

• 批准号: EP/Y029631/1
• 负责人: Ian Walmsley
• 金额: $ 25.55万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY029631%2F1
• 关键词: REAGAN; Real; life; applications; Gaussian

Since entering the information age, quantum science has already revolutionised the world in recent years. New opportunities to use the quantum advantages in real-life applications will impact on major industries across pharmaceuticals, defence, finance, and information technology. In this proposal, I aim to develop a high-dimension fully programmable Gaussian Boson Sampling (GBS) photonic processor, which is a near-term special-purpose model of photonic quantum computing serving as a promising candidate in solving real-life problems. There are two main goals here: (1) building a universal temporally encoded GBS device, and (2) using it in real-life quantum biomedical tasks. Thanks to the programmable and scalable silicon nitride photonic integrated circuit (PIC), I can build a large scale fully programmable and software scalable GBS device. The universality of this device is exhibited by supporting any arbitrary graph or Hamiltonian encoded on it, and this offers great versatility in the scope of problems that it can encode. Then, I will use this universal GBS device to solve drug design and vibronic spectra problems, and this GBS device can provide a computational speedup to perform these tasks. Many patients who have diseases like, Alzheimer's, ischaemia or cancers will be benefit from this GBS-accelerated drug design. Besides, this GBS device will provide a more efficient analysis technique for molecular spectroscopy, and enable wider researchers have a better understanding of non-Condon effects. These real-life applications can immediately stimulate the innovation of relevant biomedical and chemistry industries and research institutions, and will be adopted once maturity is reached.

进入信息时代以来，量子科学近年来已经彻底改变了世界。在现实生活中利用量子优势的新机会将影响制药、国防、金融和信息技术等主要行业。在这个建议中，我的目标是开发一个高维完全可编程高斯玻色子采样（GBS）光子处理器，这是一个短期的专用模型的光子量子计算作为一个有前途的候选人在解决现实生活中的问题。这里有两个主要目标：（1）构建通用的时间编码GBS设备，以及（2）将其用于现实生活中的量子生物医学任务。由于可编程和可扩展的氮化硅光子集成电路（PIC），我可以建立一个大规模的完全可编程和软件可扩展的GBS设备。该设备的通用性表现为支持任何任意的图形或哈密顿编码，这提供了很大的通用性，它可以编码的问题的范围。然后，我将使用这个通用的GBS设备来解决药物设计和振动光谱问题，这个GBS设备可以提供一个计算加速来执行这些任务。许多患有阿尔茨海默氏症、缺血或癌症等疾病的患者将受益于这种GBS加速的药物设计。此外，该装置将为分子光谱学提供一种更有效的分析技术，并使更广泛的研究人员对非康登效应有更好的了解。这些实际应用可以立即刺激相关生物医学和化学行业和研究机构的创新，并在成熟后被采用。