Silicon Photonics for Quantum Computing

用于量子计算的硅光子学

• 批准号: RGPIN-2021-03163
• 负责人: Chrostowski, Lukas
• 金额: $ 5.54万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752068
• 关键词: Silicon; Photonics; Quantum; Computing

The most ambitious application for silicon photonics - Chrostowski's expertise - is in quantum computing. Quantum computing is expected to deliver the next leap in information technology, with anticipated impacts as significant as the development of silicon integrated circuits and the Internet. Quantum computing (QC) differs from classical computing in that particles (electrons, photons) that store bits of information (a quantum bit or "qubit") can exist as a linear combination of states (called superposition), whereas a classical bit can only be in one state. Superposition, together with correlations between qubits (entanglement), offer quantum computers (QCs) an exponential advantage over classical computers, where even 100 qubit QCs would outperform supercomputers with trillions of classical transistors. This would allow us to solve some of the world's most pressing computational and societal problems that are unsolvable by classical computers. QC will enable breakthroughs in fields as diverse as chemical design (e.g. enzymes for carbon capture), material design (e.g. batteries), precision health, optimization, and artificial intelligence. There are several hardware approaches being pursued in industry: the leading contenders are based on superconducting (IBM, Google) and trapped ion (IonQ, Honeywell) qubits. New contenders are based on spins in silicon (Intel) and photonics (PsiQuantum, Xanadu). These silicon-based approaches offer the potential for scaling to millions of qubits owing to the small device size and wafer-scale manufacturing. There are now two prominent silicon photonics QC start-ups, PsiQuantum in California, and Xanadu in Toronto, which have raised $509M and $36M, respectively. This proposal aims to develop a new architecture that has the potential to solve the challenges faced by the above approaches. We propose to develop a silicon-based platform that uses implanted donors as electron spin qubits with photonics used for the interconnects. This hybrid electro-optic approach makes use of two key advantages - electrons make excellent memories (qubits), while photons are excellent for communication (entanglement). This research program will fund 4 PhD, 3 MASc and 8 undergraduate students to design, fabricate, and test photonic devices for quantum computing using silicon donor spin qubits, with the long-term goal of developing all ingredients necessary to build a scalable fault-tolerant QC. Trainees will build experimental apparatus for testing at cryogenic temperatures, design novel nano-photonic components for quantum information processing (single photon sources and detectors, spin qubit to photon coupling using resonators, low-loss optical switches), develop novel fabrication techniques using infrastructure from a recent CFI Innovation grant, and demonstrate qubit operation in a scalable architecture. The HQP trained will be in a position to translate the research and technology into new commercial enterprises.

硅光子学最雄心勃勃的应用——克罗斯托夫斯基的专业知识——是量子计算。量子计算有望带来信息技术的下一次飞跃，其预期影响与硅集成电路和互联网的发展一样重大。 量子计算 (QC) 与经典计算的不同之处在于，存储信息位（量子位或“量子位”）的粒子（电子、光子）可以作为状态的线性组合（称为叠加）存在，而经典位只能存在处于一种状态。叠加以及量子位之间的相关性（纠缠）为量子计算机 (QC) 提供了优于经典计算机的指数级优势，即使是 100 个量子位 QC 也能胜过拥有数万亿个经典晶体管的超级计算机。这将使我们能够解决一些经典计算机无法解决的世界上最紧迫的计算和社会问题。质量控制将在化学设计（例如碳捕获酶）、材料设计（例如电池）、精准健康、优化和人工智能等多个领域实现突破。业界正在寻求多种硬件方法：领先的竞争者基于超导（IBM、谷歌）和俘获离子（IonQ、霍尼韦尔）量子位。新的竞争者基于硅自旋（英特尔）和光子学（PsiQuantum、Xanadu）。由于器件尺寸小和晶圆级制造，这些基于硅的方法提供了扩展到数百万量子位的潜力。现在有两家著名的硅光子QC初创公司，加利福尼亚州的PsiQuantum和多伦多的Xanadu，分别筹集了5.09亿美元和3600万美元。 该提案旨在开发一种新的架构，有可能解决上述方法所面临的挑战。我们建议开发一种硅基平台，使用注入的供体作为电子自旋量子位，并使用光子学进行互连。这种混合电光方法利用了两个关键优势——电子具有出色的记忆能力（量子位），而光子则非常适合通信（纠缠）。该研究项目将资助 4 名博士生、3 名硕士生和 8 名本科生，使用硅供体自旋量子位设计、制造和测试用于量子计算的光子器件，长期目标是开发构建可扩展容错系统所需的所有成分。质量控制。学员将建造用于低温测试的实验装置，设计用于量子信息处理的新型纳米光子组件（单光子源和探测器，使用谐振器的自旋量子位到光子耦合，低损耗光学开关），使用以下基础设施开发新颖的制造技术：最近获得 CFI 创新资助，并在可扩展架构中演示量子位操作。接受培训的总部人员将能够将研究和技术转化为新的商业企业。