Modelling and testing photonic devices for quantum simulation

用于量子模拟的光子器件建模和测试

• 批准号: 2078903
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2078903
• 关键词: Modelling; testing; photonic; devices; quantum

Scaling photonic quantum simulators to provide a quantum advantage will require development of photonic technologies. This studentship will research novel methods to process and error correct photonic quantum information. Key applications will be the quantum simulation of molecular quantum dynamics and particle physics.The first year of the PhD is focused on modelling primitive photonic components and devices. This includes the generation and manipulation of quantum states of light and translating between path encoded and time encoded photonic quantum information. Modelled components will be fabricated in various materials including silicon and silicon nitride and visible and IR wavelengths.The second year will be concerned with testing and refining fabricated devices through several iterations. The latter part of the PhD will aim to scale up the developed components to process photonic quantum information on a large scale.Implementing machine learning protocols will be a key part of mitigating quantum errors and pursuing a quantum advantage for practical quantum simulators.

扩展光子量子模拟器以提供量子优势将需要发展光子技术。本专业将研究处理和纠错光子量子信息的新方法。主要的应用将是分子量子动力学和粒子物理的量子模拟。博士学位的第一年专注于对原始光子组件和器件进行建模。这包括光的量子态的产生和操作，以及路径编码和时间编码的光子量子信息之间的转换。模型组件将用各种材料制造，包括硅和氮化硅以及可见光和红外波长。第二年将通过几次迭代来测试和改进制造的设备。PHD的后半部分将致力于扩大所开发的组件的规模，以大规模处理光子量子信息。实现机器学习协议将是减少量子错误和追求量子优势的关键部分，为实用的量子模拟器。