This course begins with an introduction to the fundamentals of quantum computing and provides the technical knowledge necessary for writing quantum code. Initially, students will learn about the basic components of quantum computing, such as qubits and quantum logic circuits, and how to write quantum computing code. Subsequently, the course covers the background knowledge and operating principles of various quantum algorithms, and students will practice writing actual quantum computing code to test these algorithms. In the latter part of the course, quantum error correction is introduced. This involves learning classical error correction codes and extending these methods to quantum systems. Additionally, the course will cover the latest methods for implementing code for quantum error correction.

선형대수, 양자역학

- Homework : 40%
- Attendance : 20%
- Final Project : 40%

- Oswaldo Zapata, “A Short Introduction to Quantum Computing for Physicists”, arXiv:2306.09388.
- Lin Lin, “Lecture notes on quantum algorithms for scientific computation”, arXiv:2201.08309.
- Anton Frisk Kockum, Ariadna Soro, Laura Garcia-Allvarez, Pontus Vikstal, Tom Douce, Goran Johansson, and Giulia Ferrini, “Lecture Notes on Quantum Computing”, arXiv:2311.08445.
- Daniel Koch, Laura Wessing, Paul M. Alsing, “Introduction to Coding Quantum Algorithms: A Tutorial Series Using Qiskit”, arXiv:1903.04359

1. Quantum Computing
2. Circuit model for quantum computation
3. Quantum Algorithms
- Grover Search
- Deutsch-Jozsa Algorithm
- Simon’s Algorithm
- Quantum Fourier Transform
- Shor’s Factoring Algorithm
4. Quantum Error Correction
- Classical error correction
- Quantum error correction
- Surface code
- Quantum LDPC code