量子情報科学は、量子力学を活用した新しい情報処理や計算の考え方を科学する分野です。この授業の目標は、量子情報や量子計算に関する最先端の理論的研究を理解し議論できる力を育むことです。研究の紹介や議論を通じて、受講者が量子情報科学の研究動向を俯瞰しながら、自身の研究への応用や発展を考える視点を育むことを目指します。

Quantum information science is a field that studies a new paradigm of information processing and computation by exploiting the laws of quantum mechanics. The goal of this course is to foster the ability to understand and discuss cutting-edge theoretical research in quantum information and quantum computation. Through the introduction and discussion of the research, students will cultivate perspectives that enable them to gain an overview of research directions in quantum information science and to consider how such developments can be applied and extended in their own research.

授業では、理論分野の研究者を招いてチュートリアル形式で研究分野の概要や最近の研究進展を紹介し、質疑応答や議論を行います。原則として対面で実施します。

In this course, invited theoretical researchers will give tutorial-style seminars that provide an overview of their research fields and introduce recent developments, with time for Q&A and discussion. In principle, the course will be held in person.

• Time: Fridays 13:00–14:45

• Place: Lecture Room 287, Science Building 1, Hongo Campus, The University of Tokyo (tentative)

• Language: English

Speakers

• Apr 10, 2026: Hayata Yamasaki (University of Tokyo), Overview of the theory of quantum information and quantum computation.

• Apr 17, 2026: Yasunari Suzuki (RIKEN), System design for fault-tolerant quantum computers.

• Apr 24, 2026: No lecture

• May 1, 2026: Yosuke Ueno (RIKEN), Quantum computing architectures.

• May 8, 2026: Tom Scruby (OIST), Quantum low-density parity-check codes.

• May 15, 2026: Shinichi Sunami (NanoQT), Quantum computing with reconfigurable arrays of neutral-atom qubits.

• May 22, 2026: Ryu Hayakawa (Kyoto University), Quantum computation and complexity theory.

• May 29, 2026: Takashi Yamakawa (NTT), Quantum cryptography.

• Jun 5, 2026: Takaya Matsuura (RIKEN), Quantum key distribution.

• Jun 12, 2026: No lecture

• Jun 19, 2026: Zane M. Rossi (University of Tokyo), Quantum algorithms based on quantum singular-value transformation.

• Jun 26, 2026: Nobuyuki Yoshioka (University of Tokyo), Quantum algorithms for many-body physics.

• Jul 3, 2026: Ryuji Takagi (University of Tokyo), Quantum resource theories.

• Jul 10, 2026: Satoshi Yoshida (University of Tokyo), Higher-order quantum computation: Transformation of unknown quantum channels.

参加状況、課題および最終レポートで総合的に評価

Attendance, Course Assignment, Final Report

Final Report Guidelines

• The final report must be prepared using LaTeX and submitted as a PDF file. The manuscript must be written in English. Please use a spell checker before submission. The examiner reserves the right to decide how to treat submissions that deviate from the rules and requirements below, including rejection of submissions solely on the basis of their format.

• Rules for the use of artificial intelligence (AI):

  • You are not allowed to use generative AI to produce any text in your course assignments from scratch. You may use generative AI to check for grammatical and spelling errors and to improve the clarity and quality of your writing.

  • You may use generative AI as a supplement to help you understand the lecture content only if you also refer to relevant scientific papers and verify the correctness of the information by yourself.

  • You must describe how you used generative AI in the Acknowledgments section of your report; if you did not use generative AI at all, explicitly state in the Acknowledgments that you did not use it.

• Requirements: You must choose at least one lecture from this course and write your report based on the topic(s) of the selected lecture(s). The report must include in-text citations and a reference list at the end. Your report must include the following components.

  • Title, Author, Affiliation, and Email Address

  • Abstract

  • Background: Summarize the lecture content, and explain the necessary background in the relevant research field of quantum information and quantum computation covered in the lecture.

  • Summary on a Related Paper: Based on the lecture content, choose and read at least one related paper (published in peer-reviewed journals or conference proceedings, or available on a preprint server), and summarize its contents, in particular:

    • motivation

    • main results

    • methods

    • impact

  • Implications for Research: Summarize your current research (or what you are planning to research) and explain its (direct or indirect) relevance to the topic(s) discussed above.

  • Discussion and Future Directions: Based on what you presented above, discuss how you can contribute, either directly or indirectly, to the relevant field of quantum information and quantum computation in your future research activities.

  • Acknowledgments: Include an Acknowledgments section at the end of the main text. If you discussed the topics in your report with colleagues, state each colleague’s name and what you discussed. Also include a statement describing your use of AI tools, following the AI rules above.

  • References: Provide a reference list generated using BibTeX in a consistent citation style, and ensure that every item in the reference list is cited in the main text.

この授業は大学院生向けに開講します。量子情報や量子計算を研究している経験があれば良いですが、必須ではありません。量子エラー訂正、量子暗号、量子計算量理論、量子アルゴリズム、量子情報理論に関する進んだ内容を扱う可能性があるので、各分野の基礎事項を知らない場合は予習がその都度必要です。詳細については授業内で指示します。

This is a graduate-level course. Research experience in quantum information and quantum computation is helpful but not required. Since the course may cover advanced topics in quantum error correction, quantum cryptography, quantum complexity theory, quantum algorithms, and quantum information theory, students who are not familiar with a given topic are expected to review the relevant basic material as needed before class. Further details will be provided during the course.

• J. Watrous, Understanding Quantum Information and Computation. https://arxiv.org/abs/2507.11536

• R. de Wolf, Quantum Computing: Lecture Notes. https://arxiv.org/abs/1907.09415

• D. Gottesman, An Introduction to Quantum Error Correction and Fault-Tolerant Quantum Computation. https://arxiv.org/abs/0904.2557

• M. M. Wilde, Quantum Information Theory, 2nd ed. Cambridge: Cambridge University Press, 2017. https://arxiv.org/abs/1106.1445

• M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information: 10th Anniversary Edition, Cambridge: Cambridge University Press, 2010.