SemesterSpring Semester, 2025
DepartmentGraduate Institute of Applied Physics, First Year Graduate Institute of Applied Physics, Second Year
Course NameIntroduction to Quantum Computation
InstructorHSU HSIU-CHUAN
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule



































































































































































Week



Topic



Content and Reading



Teaching Activities /



Homework



Student workload expectations



 



 



 



 



In-class hours



Preparation hours



1



2/17



Course Introduction



Introduction to the course, quantum mechanics 101 (Double spit experiment, electron spin), computational tools



 



Lecture



2



2



2



2/24



Introduction



Quantum mechanics 101 (wave-particle duality, Schrodinger equation), numerical tools



Set up the environment: conda, Jupyter notebook, python etc



3



2



3



3/3


Quantum mechanics 101

Fundamentals of quantum mechanics



 



HW1: linear algebra



3



4



4



3/10



Quantum circuits



Linear Algebra, Circuit model, Single qubit, Spin rotation, Bloch sphere



Demo: Qiskit



3



2



5



3/17


Quantum circuits

Circuit model, Single qubit, Spin rotation, Bloch sphere, Measurement



 



3



2



6



3/24



Quantum circuits



Multiple gate operations, entanglement, EPR, Bell basis, universal gates



Hands-on exercise 1



3



2



7



3/31



Quantum circuits



Random number generator,



Function evaluation, quantum adder, Phase, kickback



 



3



4



8



4/7



Quantum algorithms I



Deutsch algorithm, Deutsch-Jozsa algorithm, Simon’s algorithm,



 



3



4



9



4/14



Midterm week



No class


HW2

 



 



10



4/21



Quantum algorithms I



Superdense coding, teleportation



Hands-on exercise 2



3



2



11



4/28



Quantum simulation



Simulating quantum dynamics



 



3



4



12



5/5



Quantum algorithms II



Quantum Fourier transform, phase estimation, Period finding, Shor’s factorization



HW3: Fourier transform



3



4



13



5/12



Quantum algorithms II



Quantum search algorithm, random walk



 



3



3



14



5/19


Quantum algorithms III

Annealing, variational quantum eigensolver, Quantum machine learning 



Hands-on exercise 3



3



2



15



5/26



Final projects



Students’ final project presentation


 

3



2



16



6/2



Final projects



Students’ final project presentation



 



3



4



17



6/9


   

 



 



 



18



6/17


         

Teaching Methods
Teaching Assistant
Requirement/Grading

Homework 40%



In-class assignment 30%



Final paper and presentation 30%




本課程可使用生成式AI工具:必須清楚標示。

Textbook & Reference

Textbook:



[1] Principles of quantum computation vol. I: basic concepts, G. Benenti, G. Casati and G. Strini , World Scientific, 2004.



Reference:



[1] Principles of Quantum Computation and Information: A Comprehensive Textbook, G. Benenti, G. Casati, D. Rossini, G. Strini, World Scientific, 2019.



[2] Quantum computation and quantum information 10th ed., M. A. Nielson and I. L. Chuang, Cambridge University Press, 2010.



[3] Practical Quantum computing for developers, V. Silva, Apress, 2018.



[4] https://github.com/Qiskit/qiskit-tutorials


Urls about Course
Attachment