ITR: Optical Processing of Information in Doped Semiconductors

ITR：掺杂半导体中信息的光学处理

• 批准号: 0312491
• 负责人: Carlo Piermarocchi
• 金额: --
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2007-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312491&HistoricalAwards=false
• 关键词: ITR; Optical; Processing; Information; Doped

This award was made on a 'small' category proposal submitted in response to the ITR solicitation, NSF-02-168. It supports theoretical research to explore the storage and processing of information by optical techniques in semiconductors doped with impurities. Diluted impurities in semiconductors represent the solid state analogue of a collection of atoms. Unlike an atomic gas, impurities are (i) frozen spatially, and (ii) are embedded in an optically active host. State-of-the-art Nan-optical techniques can address a single impurity localized in a semiconductor. The optical properties of the host can be used to efficiently control the internal degrees of freedom of the impurities where the information is encoded. A novel aspect of this work lies in the focus on a solid-state system, with potential technological applications, where new quantum optical effects can be investigated. The research seeks to identify reliable schemes for the realization of information technology devices using the electronic and spin degrees of freedom of the impurities. The quantum nature of these systems will be taken into account and exploited. Impurities are a collection of identical objects, and this property can be used to efficiently encode information. A major question concerns the actual viability of these schemes. Investigations of optical and electronic properties of impurities and quantum kinetics simulations will fill the gap between model and real systems. Microscopic calculations will help to identify the most suitable materials. Future information networks may exchange information using light, eventually at the level of single photons. At the same time, the storage of information will require matter-based memories. The research aims to advance the knowledge of a system representing the ideal interface between light and matter, and will give direction for future efficient and secure communication technologies. The processing of information by ultrafast optical control in the proposed system may well be at the base of new revolutionary computing machines. Graduate and undergraduate students will be trained in actively applying physical ideas from quantum and statistical mechanics to information technology. The specific system considered in this project provides an excellent active-learning benchmark for understanding fundamental concepts in physics. With the help of collaborations, students involved in this project will be exposed to materials science, quantum optics, and non-equilibrium statistical mechanics. The research involves developing numerical codes for quantum kinetics equations and microscopic properties of materials. This will improve student's skills in designing numerical codes to solve complex problems. %%%This award was made on a 'small' category proposal submitted in response to the ITR solicitation, NSF-02-168. It supports theoretical research to explore the storage and processing of information by optical techniques in semiconductors doped with impurities. Diluted impurities in semiconductors represent the solid state analogue of a collection of atoms. Unlike an atomic gas, impurities are (i) frozen spatially, and (ii) are embedded in an optically active host. State-of-the-art Nan-optical techniques can address a single impurity localized in a semiconductor. The optical properties of the host can be used to efficiently control the internal degrees of freedom of the impurities where the information is encoded. A novel aspect of this work lies in the focus on a solid-state system, with potential technological applications, where new quantum optical effects can be investigated. The research seeks to identify reliable schemes for the realization of information technology devices using the electronic and spin degrees of freedom of the impurities. The quantum nature of these systems will be taken into account and exploited. Impurities are a collection of identical objects, and this property can be used to efficiently encode information. A major question concerns the actual viability of these schemes. Investigations of optical and electronic properties of impurities and quantum kinetics simulations will fill the gap between model and real systems. Microscopic calculations will help to identify the most suitable materials. Future information networks may exchange information using light, eventually at the level of single photons. At the same time, the storage of information will require matter-based memories. The research aims to advance the knowledge of a system representing the ideal interface between light and matter, and will give direction for future efficient and secure communication technologies. The processing of information by ultrafast optical control in the proposed system may well be at the base of new revolutionary computing machines. Graduate and undergraduate students will be trained in actively applying physical ideas from quantum and statistical mechanics to information technology. The specific system considered in this project provides an excellent active-learning benchmark for understanding fundamental concepts in physics. With the help of collaborations, students involved in this project will be exposed to materials science, quantum optics, and non-equilibrium statistical mechanics. The research involves developing numerical codes for quantum kinetics equations and microscopic properties of materials. This will improve student's skills in designing numerical codes to solve complex problems. ***

该奖项是根据ITR招标（NSF-02-168）提交的“小型”类提案获得的。它支持理论研究，探索在掺杂杂质的半导体中利用光学技术存储和处理信息。半导体中稀释的杂质代表了原子集合的固体模拟物。与原子气体不同，杂质(i)在空间上冻结，（ii）嵌入在光学活性宿主中。最先进的纳米光学技术可以处理半导体中的单一杂质。利用载体的光学特性可以有效地控制编码信息的杂质的内部自由度。这项工作的新颖之处在于关注固态系统，具有潜在的技术应用，可以研究新的量子光学效应。该研究旨在确定利用杂质的电子和自旋自由度来实现信息技术设备的可靠方案。这些系统的量子特性将被考虑和利用。杂质是相同对象的集合，这个属性可以用来有效地编码信息。一个主要问题涉及这些计划的实际可行性。杂质的光学和电子性质的研究和量子动力学模拟将填补模型和实际系统之间的空白。微观计算将有助于确定最合适的材料。未来的信息网络可能使用光交换信息，最终达到单光子的水平。同时，信息的存储将需要基于物质的记忆。该研究旨在推进表征光与物质之间理想界面的系统的知识，并将为未来高效和安全的通信技术指明方向。在提出的系统中，通过超快光控制处理信息很可能成为新的革命性计算机器的基础。研究生和本科生将被训练积极地将量子和统计力学的物理思想应用于信息技术。在这个项目中考虑的具体系统为理解物理学的基本概念提供了一个很好的主动学习基准。在合作的帮助下，参与该项目的学生将接触到材料科学，量子光学和非平衡统计力学。该研究涉及开发量子动力学方程和材料微观特性的数值代码。这将提高学生设计数字代码来解决复杂问题的技能。该合同是根据ITR招标NSF-02-168提交的“小型”类提案授予的。它支持理论研究，探索在掺杂杂质的半导体中利用光学技术存储和处理信息。半导体中稀释的杂质代表了原子集合的固体模拟物。与原子气体不同，杂质(i)在空间上冻结，（ii）嵌入在光学活性宿主中。最先进的纳米光学技术可以处理半导体中的单一杂质。利用载体的光学特性可以有效地控制编码信息的杂质的内部自由度。这项工作的新颖之处在于关注固态系统，具有潜在的技术应用，可以研究新的量子光学效应。该研究旨在确定利用杂质的电子和自旋自由度来实现信息技术设备的可靠方案。这些系统的量子特性将被考虑和利用。杂质是相同对象的集合，这个属性可以用来有效地编码信息。一个主要问题涉及这些计划的实际可行性。杂质的光学和电子性质的研究和量子动力学模拟将填补模型和实际系统之间的空白。微观计算将有助于确定最合适的材料。未来的信息网络可能使用光交换信息，最终达到单光子的水平。同时，信息的存储将需要基于物质的记忆。该研究旨在推进表征光与物质之间理想界面的系统的知识，并将为未来高效和安全的通信技术指明方向。在提出的系统中，通过超快光控制处理信息很可能成为新的革命性计算机器的基础。研究生和本科生将被训练积极地将量子和统计力学的物理思想应用于信息技术。在这个项目中考虑的具体系统为理解物理学的基本概念提供了一个很好的主动学习基准。在合作的帮助下，参与该项目的学生将接触到材料科学，量子光学和非平衡统计力学。该研究涉及开发量子动力学方程和材料微观特性的数值代码。这将提高学生设计数字代码来解决复杂问题的技能。* * *