3. 강의목표
In this course, we aim to cover :
1) the mathematical language of quantum information processing: density matrices, measurements, channels, etc.
2) the basics of circuit based quantum computing: qubits, single-/two-qubit gates, simple quantum algorithms
3) leading quantum computing hardware platforms: neutral atoms, superconducting circuits, etc. - coherence, fidelity, connectivity, scaling, benchmarking
4) core problems in quantum simulation: many-body quantum simulation (Hubbard models, spin models), analog vs. digital (Trotterization, Jordan-Wigner transformation), VQE and quantum chemistry, etc.
4. 강의선수/수강필수사항
Undergrad QM or quantum physics and quantum technology (QIST511)
5. 성적평가
| 중간고사 |
기말고사 |
출석 |
과제 |
프로젝트 |
발표/토론 |
실험/실습 |
퀴즈 |
기타 |
계 |
|
40 |
|
60 |
|
|
|
|
|
100 |
6. 강의교재
| 도서명 |
저자명 |
출판사 |
출판년도 |
ISBN |
|
Quantum computation and quantum information
|
Nielsen and Chuang
|
|
0000
|
|
7. 참고문헌 및 자료
Quantum computation (lecture notes) by Preskill
Select review paper
8. 강의진도계획
Weeks 1 to 3: Basic quantum mechanics toolkit (NC 2)
Weeks 4 to 7: Circuit model of quantum computing (NC 4)
Weeks 8 to 11: Quantum computing hardware (NC 7)
Weeks 12 to 15: Analog and digital quantum simulation: key problems and techniques - second quantization, Hubbard models, spin models, molecular structure calculations, etc. (as time permits)
11. 장애학생에 대한 학습지원 사항
- 수강 관련: 문자 통역(청각), 교과목 보조(발달), 노트필기(전 유형) 등
- 시험 관련: 시험시간 연장(필요시 전 유형), 시험지 확대 복사(시각) 등
- 기타 추가 요청사항 발생 시 장애학생지원센터(279-2434)로 요청