[ 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 far-term applications of fully functional quantum computers. In contrast to many standard quantum computing lectures, we will also put an emphasis on near-term 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 complexity-theoretic bottlenecks.
Subject Topics include:

  • Reversible logic & circuits
  • Quantum circuits & quantum computing
  • Fundamental implications and challenges
  • Far-term quantum algorithms
  • Near-term 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
On-site course
Maximum number of participants -
Assignment procedure Direct assignment