QL3: Quantum LifeLong Learning

More about the project

Funding

Federal Ministry of Education and Research within the framework of the “Quantum Futur Education” funding guidelines

Project duration

Start: 1 October 2021
End: 31 December 2024

Objective

Development of interdisciplinary programs for advanced training in quantum technologies

Project coordination

Prof. Alexander Holleitner, Professorship of Experimental Physics – Nanotechnology and Nanomaterials, Technical University of Munich

Current program

Foundations of Quantum Physics & Information: A Training for Scientists

On-site program which provides you with the advanced mathematical and physical tools commonly used in quantum theory. It is designed for those with a background in the mathematical sciences, such as physics or computer science.
Language: English
Location: On-site (Munich)
Duration: 5 days
Start: October 2024
Application deadline: 15.09.2024
Program fee: 2.750 Euro

University project partner

Technical University of Munich & TUM Institute for LifeLong Learning

The Technical University of Munich is one of the strongest research universities in Europe. TUM acts as an entrepreneurial university that promotes talent and creates added value for society. In doing so, it benefits from strong partners in science and business. The sub-project QL3-TUM focuses on the communication between experimentally oriented, cutting-edge research on quantum technology and specialists and managers from the economy.

The TUM Institute for LifeLong Learning aims to promote continuous, scientifically-based advanced training for international professionals at all career levels from science, business and society in specialist and interdisciplinary areas such as management and leadership.

Academic responsibility: Prof. Dr. Alexander Holleitner, Walter Schottky Institute and Physics Department, Chair & Center for Nanotechnology and Nanomaterials, Technical University of Munich

Ludwig-Maximilians-University Munich

The LMU is one of the most renowned universities in Europe. It stands for excellent research combined with an ambitious range of courses – from the humanities and cultural sciences to law, economics, and social sciences to medicine and the natural sciences. The sub-project QL3-LMU focuses on imparting theoretical content from the field of quantum technology to specialists and managers from the economy.
 
 
Academic responsibility: Prof. Dr. Jan von Delft, Chair for Theoretical Solid State Physics, Department of Physics, Ludwig-Maximilians-Universität München

Industry project partner

Siemens

Past programs

Quantum Technologies – Overview Course for Managers and Leaders

One-day program on campus with an overview of the landscape of quantum technologies.

The one-day on-site overview course ‘Quantum Technologies’ introduces quantum sensing, quantum communication, quantum simulation, and quantum computation technologies to executives and experts in the industry.

Language: English

Location: On-site (Munich)

Duration: 1 day

Start: 18.07.2024

Application deadline: 24.06.2024

Program fee: 850 Euro

Image: @ MQV | Mikka Stampa
Dozentin erklärt Experiment anhand Quanten-Koffer

Quantum Computing for Engineers and Scientists

One-day program on campus offering insights into the field of quantum computing

Participants will gain a solid foundation in quantum information science and a deeper understanding of the capabilities and limitations of quantum computing.

Image: @ MQV | Mikka Stampa

Quantum Technologies Deep Dive

Get quantum-ready: On-site & online modules to equip the participants for the era of quantum technology

Participants can choose between different modules depending on their area of interest. The basic module introduces the basic principles of quantum science, whereas the quantum computing, communication, and sensing modules give insight into the state-of-the-art and future prospects of the respective technology and explore exemplary use cases.

Image: @ MQV | Mikka Stampa
Mann erklärt technisches Gerät

Fault-Tolerant Quantum Computing: From Fundamentals to Advanced Concepts and Algorithms

Explore fault-tolerant quantum computing from basics to complex algorithms

The program offers an in-depth introduction to fault-tolerant quantum computing, beginning with basics like quantum error correction and stabilizer codes. It then progresses to advanced algorithms, such as quantum signal processing, and covers the practical implications of fault-tolerant algorithms. The course keeps participants updated with the latest developments.

Image: @ MQV | Mikka Stampa

Introductory Course Quantum Computing

Learn, apply, and network in the field of quantum computing

This blended program introduces the phenomena and mathematical description of quantum mechanics and their application to quantum computing. Tailor-made for professionals from industry with no prior experience in quantum technologies by combining evidence-based theoretical and practical input.

Image: @ MCQST Cluster | Christoph Hohmann

Relevance of Quantum Technology

Research on quantum technologies has been ongoing for several years – however, applications in industry are still rare. Although the research field offers enormous application potential for the industry, the challenge for companies and organizations remains to transfer knowledge and technological expertise to the industrial sector and to address practical challenges. The critical role – and this is where the QL3 project comes in – is specialists and managers in the high-tech industry.

So far, however, specialist knowledge has only been conveyed at ad-hoc events or lectures. There is no structured, scientifically founded, and practice-oriented further education. However, it is only through this targeted further training in the field of quantum technology that specialists and executives can recognize the specific potential of their company and run projects successfully in the long term. The opportunity to build up this key knowledge with experts firmly established in their professional lives does not yet exist. That is why the QL3 project relies on extra-occupational training programs that release the enormous theoretical knowledge of top researchers directly in practice.