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