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402-0448-01L 5 Credits DR , MSC D-ITET , D-MATH , D-INFK , D-PHYS , D-MAVT

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Quantum Information Processing I: Concepts

Lecturers & Examiners: Dr. Philipp Kammerlander

This theory part QIP I together with the experimental part 402-0448-02L QIP II (both offered in the Spring Semester) combine to the core course in experimental physics "Quantum Information Processing" (totally 10 ECTS credits). This applies to the Master's degree programme in Physics.

VVZ CR 3.6

Last Updated: 2026-02-05 16:07:39

Abstract

The course covers the key concepts of quantum information processing, including quantum algorithms which give the quantum computer the power to compute problems outside the reach of any classical supercomputer.Key concepts such as quantum error correction are discussed in detail. They provide fundamental insights into the nature of quantum states and measurements.

Objective

By the end of the course students are able to explain the basic mathematical formalism of quantum mechanics and apply them to quantum information processing problems. They are able to adapt and apply these concepts and methods to analyse and discuss quantum algorithms and other quantum information-processing protocols.

Content

The topics covered in the course will include quantum circuits, gate decomposition and universal sets of gates, efficiency of quantum circuits, quantum algorithms (Shor, Grover, Deutsch-Josza,..), quantum error correction, fault-tolerant designs, and quantum simulation.

Resources

Lecture Notes

Will be provided.

Literature

Quantum Computation and Quantum Information Michael Nielsen and Isaac Chuang Cambridge University Press

General Information

Language: English
Levels: DR , MSC
Frequency: Yearly recurring

Examination

Type: session examination
Mode: written 90 minutes
Aids: None

Course Components

Type	Title	Time & Place	Hours
lecture	Quantum Information Processing I: Concepts	Mon 13:45-15:30 (HPV G 4)	2 h weekly
exercise	Quantum Information Processing I: Concepts	Mon 15:45-16:30 (HCI H 8.1) Mon 15:45-16:30 (HCI J 4) Mon 15:45-16:30 (HPV G 4)	1 h weekly

Offered In

Computational Science and Engineering Master
- Fields of Specialization
  - Physics (For the field of specialization `Physics' basic knowledge in quantum mechanics is required.)
Computer Science Master
- Master Studies (Programme Regulations 2020)
  - Majors
    - Major in Theoretical Computer Science
      - Elective Courses
  - Minors
    - Minor in Theoretical Computer Science
Micro- and Nanosystems Master
- Core Courses
  - Elective Core Courses
Physics Master
- Core Courses (One Core Course in Experimental or Theoretical Physics from Physics Bachelor is eligible; however, this Core Course from Physics Bachelor cannot be used to compensate for the mandatory Core Course in Experimental or Theoretical Physics. For the category assignment keep the choice "no category" and take contact with the Study Administration ( ) after having received the credits.)
  - Core Courses: Experimental Physics
Doctorate Information Technology and Electrical Engineering (More Information at: )
- Subject Specialisation (A minimum of 12 ECTS credit points must be obtained during doctoral studies (also see other categories for details) The courses on offer below are but a small selection out of a much larger available number of courses. Please discuss your course selection with your PhD supervisor.)
Doctorate Physics (More Information at: )
- Subject Specialisation (Please note that this is an INCOMPLETE list of courses.)
Data Science Master
- Core Courses
  - Core Electives
Cyber Security Master
- Minor
  - Theoretical Computer Science
    - Elective Courses
Quantum Engineering Master
- Core Courses (A minimum of 24 credits must be obtained from core courses during the MSc QE, course selection is subject to the tutor's agreement.)
  - Physics Core Courses (These core courses target students with an engineering background and all those who need additional physics foundations.)