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: Anurudh Peduri, Maxim van den Berg, Tianwei Zhang
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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