Advanced Mechanical Engineering 1 (Science and Mechanics)

For many years, quantum technology remained largely theoretical due to the demanding requirements of specialized experimental and observational equipment. However, recent breakthroughs in technology have spurred significant progress, enabling the realization of quantum devices in fields like superconducting circuits, quantum dots, and quantum optics. Consequently, the practical application of quantum technology is rapidly accelerating. The first half of this lecture will provide an overview of these emerging quantum technologies and then introduce the essential quantum mechanics that underpin them. We will then examine the core mechanisms and current challenges facing the field.

Statistical mechanics arose from efforts to understand macroscopic behavior through the lens of microscopic principles. Its widespread utility in describing and analyzing diverse phenomena has established it as a crucial subject across disciplines, including physics, materials science, information engineering, and, increasingly, quantum technology. The second half of this lecture will begin with an introduction to statistical mechanics, followed by an analysis of fundamental problems and a discussion of its underlying principles and applications.

To excel in research, a solid grasp of experimental techniques and analytical methods is essential. This course will focus on introducing you to quantum technology and statistical mechanics, building a foundation for those skills.

1. Students possess a foundational understanding of the framework of quantum theory and are proficient in performing calculations concerning quantum measurement and quantum operations.
2. Students understand quantum algorithms and quantum circuits, and can explain their operation based on principles of quantum theory.
3. Students understand the fundamental framework of statistical mechanics and can calculate physical quantities related to rubber elasticity.
4. Students understand the principles of the Monte Carlo method and can apply it to solve both computational and analytical problems.

[Evaluation method]
Quizzes and reports, including objective evaluations, are scored out of 100 points. A passing grade requires a score of 60 points or higher.

[Criterion for evaluation]
A score of 60% or higher will be achieved by demonstrating comprehension of the assigned topics and the ability to accurately solve related examples.

Japanese

These will be distributed and explained in class as appropriate according to the assignments.

It is recommended that you have completed courses in Mechanics, Thermodynamics, Calculus, Linear Algebra, Probability and Statistics.

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Non-regionally-oriented course

• Course that cultivates an ability for utilizing knowledge
• Course that cultivates a basic interpersonal skills
• Course that cultivates a basic problem-solving skills

More than one class is interactive

• 4.QUALITY EDUCATION
• 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE