CAREER: Improving the Performance of Quantum-dot Cellular Automata

职业：提高量子点元胞自动机的性能

• 批准号: 0244269
• 负责人: John Lusth
• 金额: $ 31.48万
• 依托单位: University of Arkansas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-16 至 2007-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0244269&HistoricalAwards=false
• 关键词: CAREER; Improving; Performance; Quantum; dot

Quantum-dot cellular automata (QCA) are a method of computing via quantum effects. QCA are arrays of quantum-dot cells with each cell containing a regular arrangement of quantum dots and a limited number of electrons. The electrons are allowed to tunnel between dots. The particular arrangement of cells reflects the computational problem, while the lowest energy distribution of electrons reflects the computational result. QCA have garnered much attention because they seem to be physically realizable with slight improvements in current fabrication techniques. Advantages include faster computation, denser circuits, and extremely low power consumption.In a QCA circuit composed of primitive QCA logic devices, the state of downstream devices can adversely affect the state of upstream devices. A partial solution stems from redesigning the primitive elements. One aspect of this work is to quantify the cost of redesigned elements, to devise more cost-effective solutions, and to determine the risks of using uncorrected devices. The second aspect involves designing QCA for higher operational temperatures via architectural changes. The third aspect concerns investigation of QCA-like devices with smoother energy spaces for eliminating meta-stable states.The education plan includes the development of a new CS/EE graduate course, entitled New Architectures for Computing. The course will feature theory and practice concerning QCA, pure quantum computing, DNA computing, and other novel architectures. The theory portion will include modules stemming from portions of the research plan. Students will chose a topic, perform a small but significant amount of original research, and submit a paper to an appropriate venue.

量子点元胞自动机（Quantum-dot Cellular Automata，QCA）是一种利用量子效应进行计算的方法。QCA是量子点单元的阵列，每个单元包含规则排列的量子点和有限数量的电子。允许电子在点之间隧穿。细胞的特定排列反映了计算问题，而电子的最低能量分布反映了计算结果。QCA已经获得了很多关注，因为它们似乎是物理上可实现的，在当前的制造技术略有改进。在由原始QCA逻辑器件组成的QCA电路中，下游器件的状态会对上游器件的状态产生不利影响。部分解决方案源于重新设计原始元素。这项工作的一个方面是量化重新设计的元件的成本，设计更具成本效益的解决方案，并确定使用未经校正的设备的风险。第二个方面涉及通过架构变化设计用于更高操作温度的QCA。第三个方面是研究具有更平滑的能量空间的QCA类器件，以消除亚稳态。教育计划包括开发一个新的CS/EE研究生课程，名为新的计算架构。本课程将介绍有关QCA，纯量子计算，DNA计算和其他新架构的理论和实践。理论部分将包括来自研究计划的部分模块。学生将选择一个主题，进行少量但重要的原创研究，并向适当的地点提交论文。