| Course title | |||||
| ナノデバイス工学特論 [Advanced Nano-device Engineering] | |||||
| Course category | courses for doctoral programs | Requirement | Credit | 2 | |
| Department | Year | ～ | Semester | 3rd | |
| Course type | 3rd | Course code | 1080415 | ||
| Instructor(s) | |||||
| 白樫 淳一 [SHIRAKASHI Junichi] | |||||
| Facility affiliation | Faculty of Engineering | Office | afjgxte/L1151 | Email address | |
| Course description |
|
As the size of electronic devices has shrunk in the last decades, coherent quantum effects have become increasingly important to their behavior. While sometimes a nuisance for traditional electronics, these effects are now being exploited by a new generation of nanoscale devices that promise enhanced performance and even radically new capabilities. This course gives an overview of the fundamental physics of these devices, often referred to as quantum physics, with an emphasis on illustrating the physical consequences of quantum mechanics through the novel characteristics and performance of nanoscale devices. Google Classroom Code: ze7asyf |
| Expected Learning |
|
This course will help students with a basic background in nanotechnology and nanoelectronics to: 1) deepen their understanding of how quantum effects can influence and define device performance, 2) gain an overview of existing nanoscale devices as a foundation for future research, 3) broaden their understanding of quantum physics, 4) explain the basic principle of quantum computing. |
| Course schedule |
|
Topic 1: Artificial Intelligence (Machine Learning, Deep Learning, Neural Network, AI Framework, Field Programmable Gate Array, Graphics Processing Unit) Topic 2: Nanoscale Devices (Atomic Switches, Atomic Junctions, Sigle-Electron Transistors, Quantum Bits, Superconducting Quantum Interference Device) Topic 3: New Types of Computing Architectures(Ising Spin Computing, Neuro Computing, Brain-Inspired Computing, Neuromorphic Devices, Combinatorial Optimization Problems) Topic 4: Quantum Computing (Quantum Gate Computers, Quantum Annealing Computers, Quantum Emulators/Simulators, Quantum Programming) |
| Prerequisites |
| Quantum Mechanics, Solid State Physics |
| Required Text(s) and Materials |
| Original texts created by the instructor will be distributed. |
| References |
|
Electronic Transport in Mesoscopic Systems, S. Datta, Cambridge University Press, 1997. Quantum transport, Y. V. Nazarov, Y. M. Blanter, Cambrirdge University Press, 2009. Nanoelectronic Device Applications Handbook, J. E. Morris, K. Iniewski, Taylor & Francis, 2013. |
| Assessment/Grading |
|
Final Exam: 80% Homework: 20% Remarks/comments/statements are considered. The grade evaluation in this online class is premised on all attendances, and comprehensively evaluates the attitude to learn, quizzes, report, and online tests. Standard study time set by our university is required to get the grade. The grade will be given according to the following criteria by comprehensive evaluation; S: 90 points or more, A: 80 or more and less than 90 points, B: 70 or more and less than 80 points, C: 60 or more and less than 70 points. |
| Message from instructor(s) |
| Course keywords |
| Quantum Computers, Nanotechnology, Nanoelectronics, Quantum Physics |
| Office hours |
| 16:30-18:00 (Fri) |
| Remarks 1 |
| Google Classroom Code: ze7asyf |
| Remarks 2 |
| Related URL |
| http://web.tuat.ac.jp/~nanotech/index.htm |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 9/24/2021 4:03:34 PM |