QIS-XML：一种用于量子信息科学的可扩展置标语言
QIS-XML: An Extensible Markup Language for Quantum Information Science
摘要：
这篇硕士论文探讨了经典信息科学（CIS）和量子信息科学（QIS）之间的互操作性和集成问题。它简要介绍了可扩展置标语言（XML），并描述了量子计算XML规范（QIS-XML）原型的开发步骤。QIS-XML是一个基于XML的量子逻辑门和量子电路的描述、可视化、交换和处理框架。它还提供了一个潜在的方法，通过XML驱动的编译器的概念，量子计算机的通用程序设计语言。提供了一些例子来描述常用的量子门和电路，并提供了在标准Web浏览器中可视化它们的工具。最后给出了一个算法实例，利用量子电路进行简单的加法运算，并在量子计算机模拟器上运行。总的来说，这一初步工作表明了XML技术如何成为描述和编程量子计算机的架构的核心。QIS-XML利用一个被广泛接受的标准，在传统IT和量子IT之间架起了一座桥梁，这可以促进ICT社区对QIS的接受，并促进IT专家对量子技术的理解。这将支持经典信息科学和量子信息科学整合为完整的信息科学，这一挑战可以被称为“信息科学大一统挑战”。
英文摘要：
This Master thesis examines issues of interoperability and integration between the Classic Information Science (CIS) and Quantum Information Science (QIS). It provides a short introduction to the Extensible Markup Language (XML) and proceeds to describe the development steps that have lead to a prototype XML specification for quantum computing (QIS-XML). QIS-XML is a proposed framework, based on the widely used standard (XML) to describe, visualize, exchange and process quantum gates and quantum circuits. It also provides a potential approach to a generic programming language for quantum computers through the concept of XML driven compilers. Examples are provided for the description of commonly used quantum gates and circuits, accompanied with tools to visualize them in standard web browsers. An algorithmic example is also presented, performing a simple addition operation with quantum circuits and running the program on a quantum computer simulator. Overall, this initial effort demonstrates how XML technologies could be at the core of the architecture for describing and programming quantum computers. By leveraging a widely accepted standard, QIS-XML also builds a bridge between classic and quantum IT, which could foster the acceptance of QIS by the ICT community and facilitate the understanding of quantum technology by IT experts. This would support the consolidation of Classic Information Science and Quantum Information Science into a Complete Information Science, a challenge that could be referred to as the "Information Science Grand Unification Challenge".
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
