首页> 外文会议>International conference on diagrammatic representation and inference >Picturing Quantum Processes A First Course on Quantum Theory and Diagrammatic Reasoning
【24h】

Picturing Quantum Processes A First Course on Quantum Theory and Diagrammatic Reasoning

机译:描绘量子过程第一门量子理论与图解推理课程

获取原文

摘要

We provide a self-contained introduction to quantum theory using a unique diagrammatic language. Far from simple visual aids, the diagrams we use are mathematical objects in their own right, which allow us to develop from first principles a completely rigorous treatment of 'textbook' quantum theory. Additionally, the diagrammatic treatment eliminates the need for the typical prerequisites of a standard course on the subject, making it suitable for a multi-disciplinary audience with no prior knowledge in physics or advanced mathematics. By subscribing to a diagrammatic treatment of quantum theory we place emphasis on quantum processes, rather than individual systems, and study how uniquely quantum features arise as processes compose and interact across time and space. We introduce the notion of a process theory, and from this develop the notions of pure and mixed quantum maps, measurements and classical data, quantum teleportation and cryptography, models of quantum computation, quantum algorithms, and quantum non-locality. The primary mode of calculation in this tutorial is diagram transformations, where simple local identities on diagrams are used to explain and derive the behaviour of many kinds of quantum processes. This tutorial roughly follows a new textbook published by Cambridge University Press in 2017 with the same title.
机译:我们使用独特的图解语言对量子理论进行了全面的介绍。我们使用的图表远非简单的视觉辅助,它们本身就是数学对象,这使我们能够从第一原理出发,对“教科书”量子理论进行完全严格的处理。此外,图解式处理消除了对该主题的标准课程的典型先决条件的需要,从而使其适合于没有物理学或高级数学先验知识的多学科受众。通过订阅对量子理论的图解处理,我们将重点放在量子过程上,而不是单个系统上,并研究随着过程在时间和空间上的组成和相互作用,量子特征如何独特地出现。我们介绍了过程理论的概念,并由此发展了纯混合量子图,测量和经典数据,量子隐形传态和密码学,量子计算模型,量子算法和量子非局部性的概念。本教程中的主要计算模式是图转换,其中图上的简单局部标识用于解释和导出多种量子过程的行为。本教程大致遵循2017年由剑桥大学出版社出版的具有相同标题的新教科书。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号