INSPIRE: Architectural Principles of Coherent Quantum Networks and Circuits

INSPIRE：相干量子网络和电路的架构原理

• 批准号: 1648807
• 负责人: Hideo Mabuchi
• 金额: $ 100万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1648807&HistoricalAwards=false
• 关键词: INSPIRE; Architectural; Principles; Coherent; Quantum; INSPIRE; Architectural; Principles; Coherent; Quantum

This INSPIRE project is jointly funded by the Quantum Information Science (QIS) Program in the Physics Division in the Mathematical and Physical Sciences Directorate, the Atomic Molecular and Optical Physics Experiment (AMO-E) Program in the Physics Division in the Mathematical and Physical Sciences Directorate, the Algorithmic Foundations (AF) Program in the Computing and Communications Foundations Division in the Computer and Information Science and Engineering Directorate, the Electronics, Photonics and Magnetic Devices (EPMD) Program in the Electrical, Communications and Cyber Systems (ECCS) Division in the Engineering Directorate, and the NSF Office of Integrative Activities (OIA). A revolutionary approach to computing is under development using quantum information processing. However, there is still a gap between the testbeds for quantum information processing that exist today, and the more perfect hardware needed for an ideal quantum computer. This project seeks to fill this gap by finding ways to use variable amounts of quantum behavior to incrementally improve computing systems. The project will examine how to use quantum effects in order to provide benefits in terms of speed, energy, and hardware efficiency for applications in signal processing and machine learning. The project will produce open source software for modeling quantum networks and will train graduate students to develop quantum information processing systems.This effort builds on work designing circuits for autonomous continuous-time quantum error correction and ultra-low power information processing systems in photonic architectures. The theoretical component of the project will provide tools to study quantum feedback in various computer architectures operating with open quantum systems. This will be done using quantum stochastic differential equations (a form of quantum field theory that is adapted to resemble ordinary stochastic differential equations that are widely used in modern engineering) in order to improve the publicly-available open source software package (Mabuchilab/QNET on GitHub) and explore ways to extend these methods to nano-optomechanics and superconducting circuit QED. The experimental component of this project will complement the high-level study by testing lower-level architectural principles based on coherent-feedback quantum control, going beyond previous work by incorporating nonlinear controller dynamics and pulsed signal fields. Together, the theoretical and experimental parts of this project will advance the quantum information community's ability to rapidly construct rigorous quantum-optical models for complex coherent networks/circuits, facilitating the exploration of new high-level architectural principles.

This INSPIRE project is jointly funded by the Quantum Information Science (QIS) Program in the Physics Division in the Mathematical and Physical Sciences Directorate, the Atomic Molecular and Optical Physics Experiment (AMO-E) Program in the Physics Division in the Mathematical and Physical Sciences Directorate, the Algorithmic Foundations (AF) Program in the Computing and Communications Foundations Division in the Computer and Information Science and Engineering Directorate, the Electronics,工程局电气，通信和网络系统（ECCS）部门中的光子学和磁性设备（EPMD）计划以及NSF综合活动办公室（OIA）。 使用量子信息处理正在开发一种革命性的计算方法。 但是，当今存在的量子信息处理的测试床与理想量子计算机所需的更完美的硬件之间仍然存在差距。 该项目试图通过寻找使用可变量的量子行为来逐步改善计算系统的方法来填补这一空白。 该项目将研究如何使用量子效应，以便在信号处理和机器学习中应用的速度，能量和硬件效率方面提供好处。 该项目将生产用于建模量子网络的开源软件，并将培训研究生以开发量子信息处理系统。这项工作是基于用于自动连续的连续时间量子误差校正和光子体系结构中的超低功率信息处理系统的工作设计电路。 该项目的理论组成部分将提供工具来研究使用开放量子系统运行的各种计算机架构中的量子反馈。 这将使用量子随机微分方程（一种量子场理论形式（一种适合于现代工程中广泛使用的普通随机微分方程），以改善可公开可用的开源软件包（Mabuchilab/QNET在Github上）并探索将这些方法扩展到纳米机电和SupperComdoncond的方法。 该项目的实验组成部分将通过基于相干反馈量子控制测试较低级别的体系结构原理来补充高级研究，而超越了以前的工作，而超越了非线性控制器动力学和脉冲信号场。总之，该项目的理论和实验部分将提高量子信息社区快速构建严格的量子光学模型的能力，以用于复杂的相干网络/电路，从而促进了对新的高级建筑原理的探索。