[ 921CGELQCOV22 ] VL Quantum Computing





Workload 
Education level 
Study areas 
Responsible person 
Hours per week 
Coordinating university 
3 ECTS 
M  Master's programme 
Computer Science 
Richard Küng 
2 hpw 
Johannes Kepler University Linz 



Detailed information 
Original study plan 
Master's programme Computer Science 2021W 
Objectives 
We will convey the fundamental possibilities and limitations of modern quantum computing. This includes basic knowledge of the underlying principles and their implications. Students will also learn how to read and work with quantum circuits  the most prevalent model of quantum computing. This also sets the stage for discussing farterm applications of fully functional quantum computers. In contrast to many standard quantum computing lectures, we will also put an emphasis on nearterm use cases of imperfect quantum architectures. Finally, the students will learn that quantum potential is not limitless. Similar to conventional computers, quantum architectures are subject to complexitytheoretic bottlenecks.

Subject 
Topics include:
 Reversible logic & circuits
 Quantum circuits & quantum computing
 Fundamental implications and challenges
 Farterm quantum algorithms
 Nearterm quantum algorithms
 Quantum complexity theory

Criteria for evaluation 
Scribing duties, oral exam and/or a small project

Language 
English 
Study material 
TBA

Changing subject? 
No 



Onsite course 
Maximum number of participants 
 
Assignment procedure 
Direct assignment 
