这门课将量子信息论中的一些基本概念和使用的基本工具做了简单的介绍，课程从量子力学的简介开始展开，介绍了量子力学诞生的背景，量子力学的理论框架和量子信息中用到的部分量子体系等，详细介绍了量子态的数学结构和量子纠缠，一些简单的量子通信应用，量子不可克隆原理，贝尔不等式，经典与量子密码学，熵与量子信息论，量子计算等内容。

课程特点：

1. 课程起点低。只要求有线性代数的基础，不要求事先学过量子力学。

2. 课程用较少的课时系统介绍了量子力学的框架和量子信息的主要内容。让学习者对整个量子信息论有一个系统的了解，初步具备开展文献调研和具体研究的能力。

3. 课程可以作为高年级本科生和研究生的专业基础课，也可作为一门选修课，同时可供相关人员参考。

4. 课程侧重于剖析量子信息的数学和物理原理，但不包括量子信息领域的最新研究进展，而是为读懂这些研究工作提供知识储备。

课程英文介绍：

In this course we shall cover the basic materials in quantum information science. A very brief introduction to the basic concepts of quantum mechanics will be given in the first couple of lectures, and then topics in quantum information will be discussed. The level is appropriate for undergraduates and beginning graduate students. Students are supposed to know linear algebra, while knowledge of quantum mechanics is not a prerequisite for this course. The following topics are covered in the course.

Part I. A brief introduction to quantum mechanics

•Experimental background – why do we need a quantum theory?

•Framework of quantum mechanics

•Qubit systems used in quantum information

Part II. Quantum states and quantum entanglement

•Pure and mixed states of qubits

•Mixed states and density operators

•Bipartite pure states and entanglement

•Multipartite states and entanglement

Part III. Quantum communication and quantum information theory

•Simple communication tasks and no-go theorems

•Classical and quantum cryptography

•Bell's inequalities and quantum correlation

•Entropy and information theory

Part IV. Quantum computation

•Quantum algorithms and implementation