Course title
1M9924101
Quantum Computer Science and Engineering /Exercise1

WATABE Shohei
Course content
Quantum computers are machines that cleverly utilize the natural laws of quantum mechanics for computation. These natural laws of quantum mechanics are quite different from the natural worldview we have developed through our daily lives. However, the practical implementation and widespread use of quantum computers is rapidly approaching, following extensive foundational research. Therefore, the development of human resources for a quantum information society is an urgent task.
In this course, we aim to develop, apply, and evaluate quantum computing technologies, with the interplay of quantum computers as the vertical threads and artificial intelligence technologies as the horizontal threads, actively pursuing the ultimate goal of contributing to the solution of societal issues across all layers.
Goals and objectives
  1. To understand the fundamental principles of quantum computing and artificial intelligence technologies necessary for research, and be able to explain them.
  2. To analyze and break down problems, develop a plan, and conduct research toward achieving final goals while collaborating with colleagues.
  3. To organize constructive discussions and advance research through regular and irregular meetings.
  4. To present at domestic/international conferences and/or publish research papers.
Language
Japanese(English accepted)
Class schedule
Organize regular lab meetings and progress-based meetings to advance research, with the goal of presenting at domestic/international conferences and/or publishing research papers.
Evaluation method and criteria
Evaluation will be based on the attitude towards research (40%), attitude in meetings (40%), and the content and achievements of external research presentations (20%). The total score will be out of 100 points, and if the basic expectations of a professional are met, a score of 60% or higher can be achieved.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
授業内と授業外でフィードバックを行います。
Textbooks and reference materials
Please consult with the PI for the textbooks and reference materials necessary for the research. If possible, they can be provided by the lab. Additionally, you will be required to find research papers necessary for your work on your own.
Prerequisites
Have a basic understanding of quantum computers, machine learning and artificial intelligence, university-level mathematics, and programming languages such as Python, and maintain an interest in all fields by staying attentive and open to new developments.
Office hours and How to contact professors for questions
  • You can ask questions during regular meetings, and appointments can also be made in advance. Communication tools are available for further consultations.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic interpersonal skills
  • Course that cultivates a basic self-management skills
  • Course that cultivates a basic problem-solving skills
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Wed Apr 02 04:11:36 JST 2025