Quantum Computing

Art des Abschlusses: 
Zertifikat
Dauer: 
8 weeks, part time
Studienformat: 
berufsbegleitendes Studium
Sprache: 
English
Studienangebot: 
Akademische Weiterbildungsangebote ohne formalen Abschluss
Kosten: 
€3500
Allgemeine Zugangsvoraussetzungen: 
Keine Zugangsvoraussetzungen
Link zum Veranstalter: 
https://www.lll.tum.de/certifi...
Studienort: 
Munich
Lehrkraft: 
Prof. Dr. Alexander Holleitner
ECTS-Punkte: 
5 ECTS

The certificate program "Quantum Computing" introduces the phenomena and mathematical description of quantum science and their application to the realm of quantum computing to professionals.

Participants will gain a basic understanding of quantum mechanical effects and notions and apply these in hands-on single-photon experiments, with references to quantum computing being made from the outset.

Afterwards, the program will address different layers of quantum computing applications, such as:

  • concepts, potentials, and limitations of quantum algorithms;
  • realizations of quantum computers: hardware, errors, and their correction;
  • Advanced concepts like quantum simulations and quantum machine learning.

After the course, participants can:

  • define and explain the basic concepts in quantum science;
  • interpret and design (simple) quantum circuits;
  • distinguish between algorithms with exponential or non-exponential speedup and apply a rough criterion to identify the possible speedup;
  • explain why the realization of error-corrected quantum computers poses extraordinary engineering difficulties;
  • give examples for the typical present and near-term applications in the area of ​​quantum computing and quantum simulation;
  • transfer the concept of quantum computing to an exemplary real-world application.
Fächergruppe: 
Informatik
Gliederung: 

Why this program?

Quantum technologies are a firmly established and strongly growing scientific research field with great application potential for industry. The current challenge facing Germany and Europe is to transfer the knowledge and technological expertise on quantum systems from university laboratories and research institutes to the private sector. Experts and executives in high-tech industry will play a key role, as they must recognize and implement the specific potential of quantum technologies for their respective companies.

The program combines evidence-based input and hands-on examples:
The program pairs abstract concepts with practical implementation and execution of algorithms on actual quantum computers. Real-world use cases and prototypical realizations from the Munich area serve as examples.

Ed-Tech methods will help participants bridge the gap from theory to application:
Didactics experts introduce complex topics with hands-on quantum mechanics experiments, visualizations, and VR applications. Programming exercises and project work, partly executed on real quantum devices, bridge the gap from theory to applications.

Two renowned universities join forces:
The program is part of QL3, a project of the Technical University of Munich (TUM) and the Ludwig Maximilian University of Munich (LMU). In close cooperation with an industrial advisory board and didactic experts, globally recognized researchers seek to create comprehensive concepts and extra-occupational training programs. In this way, this future-relevant topic can be promoted at the interface of science and product development.

Participants can broaden their network:
Participants can establish contacts with experts from the Munich universities. Optional networking events after the program can also be taken advantage of, facilitating contact between companies and experts at local research institutions and offering a long-term connection to the local quantum technologies landscape.

The program will continuously be evaluated and further developed:
The course is monitored for its didactical efficiency and is constantly improved upon participants' feedback.

Optional refresher courses on linear algebra or Python:
Prior to the program, participants can do self-paced refresher courses on linear algebra and Python; if needed.

Benötigte Vorkenntnisse: 

Participants should have basic knowledge of linear algebra and a programming language, although no expert knowledge is required. Self-paced refresher courses on linear algebra and Python are offered additionally; if needed.

Zielgruppe: 

This program is designed for people preferably with a natural or computer science background, such as software developers, physicists or chemists. No prior experience in quantum technologies is required.

Details der Zugangsvoraussetzung: