A Quantum Programming Learning System Using HCI and Information Visualization Technologies

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K12174
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 62030:Learning support system-related
• Research Institution: Tottori University (2023); Okayama University (2021-2022)
• Principal Investigator: Sasakura Mariko 鳥取大学, 国際乾燥地研究教育機構, 准教授 (30284087)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 量子プログラミング / ヒューマンコンピュータインタラクション / 視覚化 / VR

Outline of Final Research Achievements

Quantum computers have attracted considerable attention because of their potential to run faster than conventional computers. However, quantum computers operate on a completely different principle from conventional computers, and conventional algorithms cannot fully exploit their performance. In order to fully exploit quantum computers' performance, quantum programming using quantum algorithms is necessary. This research aims to clarify whether human-computer interaction and visualization techniques effectively provide educational support for quantum programming and what educational support is appropriate.
In this study, experimental systems were constructed, and subject experiments were conducted. The results suggest that visualization techniques such as VR may be effective. Although interaction such as users can select scenarios is effective, interaction that does not clarify the content and purpose of support may hinder the user's understanding.

Free Research Field

ヒューマンコンピュータインタラクション

Academic Significance and Societal Importance of the Research Achievements

本研究の意義は二つある．一つ目は，量子プログラミングの教育支援をテーマとしていることである．本研究を通じて，あらためて量子プログラミングの習得の難しさが明確となった．さらに研究を続けることで量子プログラミングの教育支援についてより知見が得られることと思われる．二つ目はヒューマンコンピュータインタラクションの分野における意義である．新しい概念を習得する際の困難を緩和するためにインタラクションが一定程度効果があることを示すと同時に，効果を十分に考えないで導入したインタラクションは理解の妨げになる可能性があることを示せたことは意義があると考える．