Sakurai: A Quantum Error Mitigation Platform-as-a-Service for Privacy-Preserving Genomics Data Analysis

Sakurai：用于保护隐私的基因组数据分析的量子误差缓解平台即服务

• 批准号: 10002147
• 金额: $ 6.37万
• 依托单位: ZAIKU GROUP LTD
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10002147
• 关键词: Sakurai; Quantum; Error; Mitigation; Platform

Quantum computing harnesses the power of quantum mechanical properties such as superposition and entanglement, to solve problems that are beyond the reach of classical computing. There is a limit to how much more powerful our classical computers can become as suggested by that the famous Moore's Law, which posits that computing power doubles roughly every two years, and due to physical constraints involved in the further miniaturisation of transistor chips this is nearing its limit. Moreover, the speedup in computing offered by parallelization is limited by the famous Amdahl's law.This project aims to build a privacy-preserving platform for genomics datasets that harnesses the exotic properties of quantum computing such as superposition and entanglement to enable data analysis of encrypted datasets faster than what is currently possible with classical computing. Our vision for the platform is to become a ubiquitous quantum orchestration environment for developing and deploying privacy-preserving quantum algorithms for sensitive data e.g. genomics datasets. This project will also focus on establishing an early commercial pilot with; individual organisations, regional healthcare data sharing ecosystems and global healthcare economies.As per the NHS England "Five Year Forward View" and the National Information Board's "Personalised Health and Care 2020", the priorities of; data capture, mining, analysis and sharing are rightly seen as essential keys to transforming health outcomes for patients and citizens. Plus, with the potential value of health data being huge according to a recent Unilever Research report that estimates that a person's health information is 50x more valuable than their financial data. As such, cyber criminals prize health data very highly as it allows them to create very convincing false identities based on personal histories. Likewise, the public is also acutely sensitive to their personal health information being misused by businesses, which they believe could expose them to discriminatory practices.As a result of all these insights, this project represents attempts to address this global challenge which will create fantastic export opportunities for the UK. A recent report, commissioned by IBM Security, looked at the annual cost of data breaches at 419 sample organisations in 13 nations or regions. The report found that the average total cost per organisation was a staggering £2.7 million, based on an average £106 per lost or stolen record. An organisation that rigorously protects its records with our Homomorphic Encryption solution could remove these costs and associated legal, regulatory and reputational risks.

量子计算利用量子力学性质的力量，如叠加和纠缠，来解决经典计算无法解决的问题。正如著名的摩尔定律所暗示的那样，我们的经典计算机的功能能够变得更加强大是有限度的，该定律假设计算能力大约每两年翻一番，并且由于进一步微型化所涉及的物理限制晶体管芯片这已经接近极限。此外，并行化带来的计算速度提升受到著名的Amdahl定律的限制。本项目旨在构建一个基因组数据集隐私保护平台，利用量子计算的叠加和纠缠等奇异特性，使加密数据集的数据分析速度比传统计算更快。我们对该平台的愿景是成为一个无处不在的量子编排环境，用于为敏感数据（例如基因组数据集）开发和部署隐私保护量子算法。该项目还将专注于建立一个早期的商业试点;个人组织，区域医疗保健数据共享生态系统和全球医疗保健经济。根据NHS英格兰“五年前瞻”和国家信息委员会的“个性化健康和护理2020”，数据采集、挖掘、分析和共享被正确地视为改变患者和公民健康结果的关键。此外，根据联合利华最近的一份研究报告，健康数据的潜在价值是巨大的，该报告估计，一个人的健康信息比他们的财务数据更有价值50倍。因此，网络犯罪分子非常重视健康数据，因为它允许他们根据个人历史创建非常令人信服的虚假身份。同样，公众也对企业滥用他们的个人健康信息非常敏感，他们认为这可能使他们面临歧视性做法。由于所有这些见解，这个项目代表了应对这一全球挑战的尝试，这将为英国创造绝佳的出口机会。IBM Security最近委托的一份报告调查了13个国家或地区的419个样本组织的年度数据泄露成本。该报告发现，每个组织的平均总成本为惊人的270万英镑，基于平均每条丢失或被盗记录106英镑。使用我们的同态加密解决方案严格保护其记录的组织可以消除这些成本以及相关的法律的、监管和声誉风险。