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Introduction to Quantum Computing

Module IN2381

This Module is offered by TUM Department of Informatics.

This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.

Module version of WS 2019/20

There are historic module descriptions of this module. A module description is valid until replaced by a newer one.

Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.

available module versions
WS 2021/2WS 2019/20

Basic Information

IN2381 is a semester module in English language at Master’s level which is offered irregular.

This Module is included in the following catalogues within the study programs in physics.

  • Focus Area Theoretical Quantum Science & Technology in M.Sc. Quantum Science & Technology
  • Catalogue of non-physics elective courses
Total workloadContact hoursCredits (ECTS)
150 h 60 h 5 CP

Content, Learning Outcome and Preconditions

Content

- Mathematical formalism and foundations of quantum mechanics
- Quantum circuits
- Quantum teleportation
- Bell inequality
- Fundamental quantum algorithms

Learning Outcome

After successful completion of this module, students are familiar with the fundamentals and the mathematical formalism of quantum computing. They can analyse quantum algorithms, like Grover search, and construct quantum circuits for simple algorithms. The students can apply software tools (like Qiskit or Cirq), and can evaluate possible fields of applications of (future) quantum computers.

Preconditions

Linear Algebra, e.g., MA0901 Linear Algebra for Informatics

Courses, Learning and Teaching Methods and Literature

Courses and Schedule

TypeSWSTitleLecturer(s)DatesLinks
VI 4 Introduction to Quantum Computing (IN2381) Huang, Q. Lopez Gutierrez, I. Mendl, C. Mon, 08:00–10:00, PH HS1
Tue, 08:00–10:00, MI 02.07.023
Thu, 10:00–12:00, MI 02.07.023
Wed, 08:00–10:00, Interims I 102
eLearning

Learning and Teaching Methods

The whiteboard lectures convey the fundamentals and the mathematical formalism of quantum computing in-depth, and the slide presentations illustrate state-of-the art technical developments. The accompanying exercises for individual study deepen the understanding of the topics explained in the lecture, and foster the creative application of the learnt techniques.

Media

whiteboard, slides, online programming

Literature

M. A. Nielsen, I. L. Chuang: Quantum Computation and Quantum Information. Cambridge University Press (2010)

Module Exam

Description of exams and course work

The assessment is by means of a written exam of 90 minutes. Problems related to the fundamental mathematical formalism may ask the students to compute the quantum mechanical state vector after passing through an experimental setup, or the derivation of a mathematical relation. Problems on quantum circuits test to what degree students have understood the individual building blocks (e.g., Pauli matrices or Hadamard gates), and can use these for the design of (simple) circuits. The exam assesses the knowledge of quantum algorithms for example by asking the students to analyze the number of required operations. Reaching a pre-specified number of the maximum homework points can be rewarded by a grade bonus in the evaluation of the exam. The exact details are timely announced at the beginning of the course.

Exam Repetition

The exam may be repeated at the end of the semester.

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