Lecture Advanced Quantum Information and Computation (Summer 2024)
| Type: | Lecture with Exercises |
|---|---|
| Programs: | MSc CS, ITS, AI, Mathematics |
| Lecturers: | Michael Walter, Simon Schmidt |
| Teaching Assistants: | TBD |
| Time and Place: |
Lectures: Wed 10-12 (MC 1.54) Exercises: Thu 12-14 (MC 1.54) |
| First meeting: | Apr 10 |
| Credits: | 5 CP |
| Contact time: | 2+2 SWS |
| Language: | English |
| Course number: | 211103 |
| Links: | Moodle, VVZ |
Interested in this course? If you plan on participating, please kindly sign up on Moodle so that we know how many people to expect.
Course Description & Syllabus
TLDR: 🙌 If you enjoyed last semester’s course, then you will have a fantastic time in this course as well! 🙌
This topical course is meant as a follow-up to our introductory course Quantum Information and Computation and aimed at students interested in deepening their knowledge in this area. We plan to cover selected topics in quantum information and computation.
This semester we discussed the following topics:
- Quantum states and measurements beyond a first course
- Multiple quantum systems, partial trace, purification
- Schmidt decomposition, distance measures
- Nonlocal games
- XOR & binary constraint system games
- Self-testing/rigidity
- Quantum channels
- Shannon entropy and data compression
- Schumacher’s theorem and entropy for multiple parties
- Mutual information and Holevo bound
- Monogamy of entanglement
Students interested in a Master’s project in quantum information, computing, cryptography, etc. are particularly encouraged to participate. This course should be of interest to students of computer science, mathematics, physics, and related disciplines.
Prerequisites
Successful participation of Quantum Information and Computation (or an equivalent course).
Literature
Lecture notes 📖 and video recordings 🎞️ of the lectures will be provided (as well as additional pointers to the literature).
Learning outcomes
You will learn fundamental concepts and results in quantum information and computation that go beyond a first course, to prepare you for a research or thesis project in this area.
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