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解鎖量子金鑰分發. (Chinese)

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  • Additional Information
    • Alternate Title:
      Unlocking Quantum Key Distribution. (English)
    • Abstract:
      This paper outlines the major development of quantum key distribution (QKD) systems. Starting from the introduction of two basic laws of fundamental uncertainty principle and quantum entanglement in conjunction with a comprehensive list of international companies with this technology, the author introduced the application framework of five common QKD protocols, analyzed their development paths, and explored the difficulties that various communication protocols may extend to a wide range of application terminals in the future. On the other hand, in the fourth chapter of this paper, the author has compiled the research ideas on how to use optical quantum technology and integrated optical circuits in recent years and provides research and development of integrated quantum light sources. The concept of an integrated quantum platform, the future of quantum systems, can be highly integrated into a single heterogeneous material substrate, in conjunction with a significant reduction in system scale, to increase the breadth and depth of quantum applications; and at the end of the paper, the author explored how to conform this integrated quantum platform into the popular QKD system in the future. [ABSTRACT FROM AUTHOR]
    • Abstract:
      本文簡述了量子金鑰分發系統的重大發展歷程,由基本測不準原理與量子糾纏特性之兩 種物理定律的介紹出發,配合整列出國際上具有相關技術之公司介紹,分析其發展路程,並 簡介了五種常見的量子金鑰通訊協定之應用架構,與探討量子金鑰分發系統未來延伸至廣泛 的應用終端,可能遭遇的困難點。於本文第肆章,筆者整理了近年來與合作團隊如何利用光 學量子技術,結合積體化光學晶片的概念,提供開發積體量子光源的研究發想,並提出積體 量子平臺的概念,冀望未來的量子系統,能高度整合於單一異質材料的晶片中,配合大幅縮 小系統尺度的優勢,提高量子應用面的廣度與深度,並於文末探討如何將此積體量子平臺, 未來實際應用於普及化的量子金鑰分發系統中。 [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Journal of Advanced Technology & Management is the property of National Central University, Research Center for Advanced Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)