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. ***

该奖项是在响应ITR招标的“小型”类别提案中颁发的，NSF-02-168。它支持理论研究，以通过光学技术在充满杂质的半导体中探索信息的存储和处理。半导体中稀释的杂质代表了原子集合的固态类似物。与原子气体不同，杂质在空间上是（i）冷冻的，（ii）嵌入光学活性的宿主中。 最先进的NAN光学技术可以解决半导体中定位的单个杂质。主机的光学特性可用于有效控制信息编码的杂质的内部自由度。这项工作的一个新方面在于关注固态系统，并具有潜在的技术应用，可以研究新的量子光学效应。该研究旨在使用杂质的电子和自旋程度来确定可靠的方案，以实现信息技术设备。这些系统的量子性质将被考虑并利用。杂质是相同对象的集合，该属性可用于有效地编码信息。一个主要问题是这些方案的实际生存能力。对杂质和量子动力学模拟的光学和电子特性的研究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会使用光线交换信息，最终在单个光子的级别上。同时，信息的存储将需要基于问题的记忆。该研究旨在促进代表光和物质之间理想接口的系统的知识，并为未来的高效和安全的通信技术提供指导。通过提议的系统中的超快光控制对信息的处理很可能位于新的革命计算机的基础上。 研究生和本科生将接受从量子和统计力学应用于信息技术的物理思想的培训。该项目中考虑的特定系统为理解物理学的基本概念提供了出色的主动学习基准。在合作的帮助下，参与该项目的学生将接触材料科学，量子光学和非平衡统计力学。该研究涉及开发用于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值代码以解决复杂问题的技能。该奖项是在响应ITR招标（NSF-02-168）提交的“小”类别提案上颁发的。它支持理论研究，以通过光学技术在充满杂质的半导体中探索信息的存储和处理。半导体中稀释的杂质代表了原子集合的固态类似物。与原子气体不同，杂质在空间上是（i）冷冻的，（ii）嵌入光学活性的宿主中。 最先进的NAN光学技术可以解决半导体中定位的单个杂质。主机的光学特性可用于有效控制信息编码的杂质的内部自由度。这项工作的一个新方面在于关注固态系统，并具有潜在的技术应用，可以研究新的量子光学效应。该研究旨在使用杂质的电子和自旋程度来确定可靠的方案，以实现信息技术设备。这些系统的量子性质将被考虑并利用。杂质是相同对象的集合，该属性可用于有效地编码信息。一个主要问题是这些方案的实际生存能力。对杂质和量子动力学模拟的光学和电子特性的研究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会使用光线交换信息，最终在单个光子的级别上。同时，信息的存储将需要基于问题的记忆。该研究旨在促进代表光和物质之间理想接口的系统的知识，并为未来的高效和安全的通信技术提供指导。通过提议的系统中的超快光控制对信息的处理很可能位于新的革命计算机的基础上。 研究生和本科生将接受从量子和统计力学应用于信息技术的物理思想的培训。该项目中考虑的特定系统为理解物理学的基本概念提供了出色的主动学习基准。在合作的帮助下，参与该项目的学生将接触材料科学，量子光学和非平衡统计力学。该研究涉及开发用于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值代码以解决复杂问题的技能。 ***