FET: Small: Modeling, Simulation, and Design for Robustness and Performance in Semiconductor-Based Quantum Computing

FET：小型：基于半导体的量子计算的鲁棒性和性能的建模、仿真和设计

• 批准号: 2007200
• 负责人: Jing Guo
• 金额: $ 49.72万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2007200&HistoricalAwards=false
• 关键词: FET; Small; Modeling; Simulation; Design

Quantum computing has the potential to eventually revolutionize computing technologies and impact many research fields as well as daily life, including discovery of new materials, design of new drugs, financial modeling, security and cryptography, and artificial intelligence. Among various approaches for hardware realization of quantum computing, semiconductor-based quantum computing has the advantage to harvest and leverage the vast infrastructure and success of the semiconductor chip industry, which promises low cost and small size. Significant challenges, however, remain to controllably and precisely entangle semiconductor spin quantum bits (qubits), transmit quantum information between them, and eventually realize a large-scale semiconductor quantum computer. In this project, new simulation methods and computer-aided design (CAD) frameworks will be developed to address key hardware design challenges in semiconductor-based quantum computing. Simulation and design tools will be developed and disseminated online to extensively support the education and research activities in semiconductor quantum computing. By developing new curriculum and engaging students from high school to graduate levels, the project also contributes to addressing the challenge of educating a new generation of quantum workforce.The project aims to: (i) develop a multiscale simulation framework that incorporates 3D technology CAD simulations into physics-based models for semiconductor quantum gates; (ii) develop a modeling and simulation framework for quantum interconnects between semiconductor spin qubits mediated by a photon channel via strongly coupled spin-photon interfaces; (iii) simulate decoherence mechanisms in semiconductor quantum gates and develop methods to minimize their impact; and (iv) model the variability and defect mechanisms and their correlations in semiconductor quantum gates and circuits, and translate insights gained from variability and defect-aware simulations to techniques for mitigating the variability effects. This project will advance modeling and simulation capabilities and develop an essential knowledge base for designing semiconductor-based quantum computing hardware with enhanced speed, fidelity, integration density, and reliability.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

量子计算有可能最终彻底改变计算技术并影响许多研究领域以及日常生活，包括发现新材料，新药物的设计，财务建模，安全和密码学以及人工智能。在量子计算的硬件实现的各种方法中，基于半导体的量子计算具有收获和利用半导体芯片行业的庞大基础设施和成功的优势，该工业有望降低成本和小规模。然而，重大挑战仍然可以控制，精确地纠缠半导体旋转量子位（Qubits），在它们之间传输量子信息，并最终实现了一台大规模的半导体量子计算机。在此项目中，将开发新的仿真方法和计算机辅助设计（CAD）框架，以解决基于半导体的量子计算中的关键硬件设计挑战。模拟和设计工具将在线开发和传播，以广泛支持半导体量子计算中的教育和研究活动。通过开发新的课程和吸引高中的学生到研究生级别，该项目还有助于解决新一代量子劳动力的挑战。该项目的目的是：（i）开发一个多尺度模拟框架，该框架将3D技术CAD仿真融合到基于物理的模型中，用于半导体量子范围； （ii）为通过强耦合自旋光子界面介导的半导体自旋量子位之间的量子互连开发了建模和仿真框架； （iii）模拟半导体量子门中的分流机制，并开发出最大程度地减少其影响的方法； （iv）对半导体量子门和电路中的可变性和缺陷机制及其相关性进行建模，并将从可变性和缺陷感知模拟获得的见解转化为可减轻变异效应的技术。该项目将提高建模和仿真功能，并为设计基于半导体的量子计算硬件而建立基本知识库，并以提高速度，忠诚度，集成密度和可靠性来设计基于半导体的量子计算硬件。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力和更广泛影响的评估来通过评估来进行支持的值得的。

项目成果

A Quantum-Computing-Based Method for Solving Quantum Confinement Problem in Semiconductor

一种基于量子计算的解决半导体量子限制问题的方法

• DOI: 10.1109/ted.2023.3234887
• 发表时间: 2023
• 期刊: IEEE Transactions on Electron Devices
• 影响因子: 3.1
• 作者: Yang, Ning;Guo, Jing
• 通讯作者: Guo, Jing

A Multiscale Simulation Approach for Germanium-Hole-Based Quantum Processor

• DOI: 10.1109/tcad.2022.3166107
• 发表时间: 2022-07
• 期刊: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
• 影响因子: 2.9
• 作者: Tong Wu;Jing Guo

Variability and Fidelity Limits of Silicon Quantum Gates Due to Random Interface Charge Traps

由于随机界面电荷陷阱而导致的硅量子门的可变性和保真度限制

• DOI: 10.1109/led.2020.2997009
• 发表时间: 2020
• 期刊: IEEE Electron Device Letters
• 影响因子: 4.9
• 作者: Wu, Tong;Guo, Jing
• 通讯作者: Guo, Jing

Performance assessment of quantum processor based on p-type Semiconductor quantum dot array

基于p型半导体量子点阵列的量子处理器性能评估

• 发表时间: 2022
• 期刊: IEEE International Conference on Quantum Computing and Engineering
• 作者: Tong Wu, Wenrui Zhang