UpScale: Scalable quantum information enabled by integrated optics
UpScale: Scalable quantum information enabled by integrated optics
批准号:
10006239
负责人:
金额:
$400.59万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
量子信息处理(QIP)将给许多行业带来革命性的变化,其应用范围从药物发现到供应链管理。然而,QIP在可伸缩性方面面临着技术挑战。为了确保量子优势和容错通用量子计算机,必须控制许多高保真量子比特和源。UpScale聚集了五个商业合作伙伴和两个研究机构来应对这一挑战。通过使用可扩展的集成光子路由和寻址平台,将支持陷阱离子、钻石NV中心和半导体光子源的不同QIP架构。集成光子平台利用了电信系统和半导体制造领域数十年的发展,兼容低温操作和多个独立的量子比特系统。UpScale将开发和部署两项主要的创新集成光子技术:氮化硅(SiN)光子集成芯片平台和与低温兼容的光子耦合和封装。高端的重点是交付高TRL可扩展的演示器,而不是基础研究。它将建立在最近公布的几项成果的基础上,并使用光子代工服务来提供可靠的供应链,并以商业化所需的速度解决与可扩展性相关的技术挑战。该项目旨在通过开发可扩展QIP系统的技术解决方案来最大化投资回报,从而造福于多个商业合作伙伴。进入市场的其他途径包括光子系统和低温包装服务的商业化。
英文摘要
Quantum information processing (QIP) will revolutionise many industries with applications ranging from drug discovery to supply chain management. However, QIP faces a technological challenge in scalability. To secure quantum advantage and a fault-tolerant general purpose quantum computer many high-fidelity qubits and sources must be controlled.UpScale brings together five commercial partners and two research organisations to address this challenge.By using a scalable integrated photonic routing and addressing platform, different QIP architectures of trapped-ions, diamond NV centres and semiconductor photon sources will be supported. The integrated photonic platform leverages decades of development in telecommunications systems and semiconductor manufacturing and is compatible with cryogenic temperature operation and multiple independent qubit systems.UpScale will develop and deploy two major and innovative integrated photonic technologies: a silicon nitride (SiN) photonic integrated chip platform and cryogenic-compatible photonic coupling and packaging.The focus of UpScale is delivery of high-TRL scalable demonstrators rather than fundamental research. It will build on several recently published results and use photonic foundry services to provide a reliable supply chain and solve technical challenges associated with scalability at the pace required for commercialisation.The project is designed to maximise return on investment by developing technological solutions for scaling of QIP systems, for the benefit of multiple commercial partners. Additional routes to market include the commercialisation of photonic systems and cryogenic packaging services.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位: