一、課程說明(Course Desc<x>ription)
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<br>This is an introductory course to quantum information.  With a highly 
<br>interdisciplinary nature of this course, background materials in quantum 
<br>mechanics, mathematical tools, computer science, and electrical engineering will 
<br>be introduced. Topics include quantum entanglement, quantum computation, and 
<br>quantum communications. The most important requirement for students taking this 
<br>course is a certain level of mathematical maturity and the curiosity to learn 
<br>about quantum information.
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<br>二、指定用書(Text Books)
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<br>Lecturenotes and reading assignment.
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<br>三、參考書籍(References)
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<br>1.	D.A.B. Miller, Quantum Mechanics for Scientists and Engineers. New York: 
<br>Cambridge University Press, 2008.
<br>2.	J.S. Townsend, A Modern Approach tp Quantum Mechanics, 2nd edn. Mill 
<br>Valley, CA: University Science Books, 2012. 
<br>3.	R. Shankar, Principles of Quantum Mechanics, 2nd edn. New York: Plenum 
<br>Press, 1994.
<br>4.	W. Rudin, Real and Complex Analysis, 3rd edn. Boston, MA: McGraw-Hill, 
<br>1986.
<br>5.	W. Rudin, Functional Analysis, 2nd edn. Boston, MA: McGraw-Hill, 1991.
<br>6.	M.A. Nielsen and I.L. Chuang, Quantum Computation and Quantum 
<br>Information. New York: Cambridge University Press, 2000.
<br>7.	M.M. Wilde, Quantum Information Theory. New York: Cambridge University 
<br>Press, 2013.
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<br>四、教學方式(Teaching Method)
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<br>A brief of mathematical materials needed to describe the basic principles of 
<br>quantum mechanics and the related concepts in quantum information will be given 
<br>first. After presenting the postulates of quantum mechanics, several examples of 
<br>quantum systems will be illustrated. Quantum entanglement will then be 
<br>discussed, which has been highly exploited in quantum information processing, 
<br>including quantum computation and quantum communications. We will introduce how 
<br>to build quantum circuits and by which how to run quantum algorithms with 
<br>killing applications. In quantum communications, we will focus on quantum 
<br>cryptography.
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<br>五、教學進度(Syllabus)
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<br>1.	Mathematical preliminaries
<br>2.	Postulates of quantum mechanics
<br>3.	Examples of quantum systems
<br>4.	Quantum entanglement
<br>5.	Quantum computation
<br>6.	Quantum communications 
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<br>六、成績考核(Evaluation)
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<br>There are homework assignments (40%), a midterm exam (30%), and a final exam or 
<br>project (30%).
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<br>七、使用生成式AI之倫理聲明(Ethics Statement on Generative Artificial Intelligence) 
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<br>After careful consideration, the instructor of this course deems it 
<br>inappropriate to use generative artificial intelligence in this class. This is 
<br>because the content within generative AI contains numerous errors and may 
<br>adversely affect students' understanding of foundational knowledge. In 
<br>accordance with the published Guidelines for Collaboration, Co-learning, and 
<br>Cultivation of Artificial Intelligence Competencies in University Education, 
<br>this course adopts the following policy : Prohibited use
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<br>Students enrolled in this course should be aware that they may not submit 
<br>assignments, reports, or personal reflections generated using artificial 
<br>intelligence. If such usage is discovered, instructors, the institution, or 
<br>relevant units have the right to reevaluate the assignment or report or withhold 
<br>scores. Students enrolled in this course agree to the above ethics statement if 
<br>registering for the class.
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