Quantum Information Theory (M.Sc.)

Quantum computing is widely seen as one of the key technologies of the 21st century. The global development of powerful quantum hardware systems continues to gather pace and with it grows the demand for new algorithms, software concepts and cryptographic methods. And this is where the Master's programme comes in. With its focus firmly on the software side of quantum computing, it deals with the theoretical foundations of information processing in quantum systems.

Quantum information theory is, in a sense, the theoretical underpinning of the software used in quantum computers. The programme addresses the fundamental questions raised by the development of quantum computing technology: What is information in the quantum age and how is it transmitted? How do you program a quantum computer? In what way does it function differently from a classical computer? What characterizes quantum computing? And above all, what does that have to do with mathematics?

The programme focuses on the mathematical foundations of quantum information as well as the understanding and application of quantum algorithms. Building on this, students can explore topics in greater depth such as quantum complexity, error correction and other current areas of research.

The close interconnection between mathematics, computer science and physics shapes the structure of the degree programme. Mandatory elective modules and ECTS credits earned from freely selectable modules allow students to flexibly develop their own unique profile. In addition to the mandatory modules in quantum information theory, students can choose modules from the three disciplines and set their individual academic focus. The programme thus offers flexible study pathways, enabling students to combine quantum computing with either classical computer science or mathematics. This flexibility allows them to tailor their studies to their interests and longer-term career aims.

In addition to a solid knowledge of programming and software expertise, students acquire transferable skills in analytical and algorithmic thinking. Students learn to develop mathematical models and transfer them into digital applications as well as to solve complex problems in a structured and computer-aided manner. These interdisciplinary skills are of key importance in modern research and application fields.

The degree programme comprises a total of 120 ECTS credits. It is divided into the mandatory section 'Quantum Information Theory', the mandatory electives section 'Lecture courses (interdisciplinary)' and the elective section of the curriculum.

Mandatory section 'Quantum Information Theory' (40 ECTS)

• Mathematical Foundations of Quantum Information Theory
• Quantum Algorithms
• Quantum Information Theory (Specialist Lecture Courses 1 and 2)
• Project
• QIT seminar

Final Module (42 ECTS)

• Master's Seminar
• Master's thesis

Before submitting their Master's thesis, students must have successfully completed a Master's seminar directly related to the topic of their thesis. Students attending the Master's seminar are required to give an oral presentation on the problem they propose to tackle in their Master's thesis.

Mandatory electives section 'Lecture Courses (interdisciplinary)' (26–30 ECTS)

The interdisciplinary mandatory electives section comprises modules in mathematics, computer science and physics. In addition to the modules listed in the module catalogue, students may also select modules from the core and advanced lecture courses in the Mathematics, Computer Science and Physics degree programmes.

Elective section (8–12 ECTS, ungraded)

• Elements of Physics
• (Introductory) seminar in Mathematics or Computer Science
• Tutoring
• Language courses / core skills
• Work placement / internship

For details, please refer to the study regulations.

At the Saarbrücken campus, students will find a dynamically growing environment for quantum research, which has received substantial support thanks to funding for the Center for Quantum Technologies from the Saarland Transformation Fund. Groundbreaking developments in quantum research can therefore be expected here in the coming years.

A special feature of the programme is the way that students are systematically introduced to these current developments. Collaborative partnerships with local research institutions and the Helmholtz Center 'Forschungszentrum Jülich' create a scientific environment that offers a wide and continuously evolving range of lecture courses. A mandatory subject-related internship in industry or with a quantum information theory research group, together with the opportunity to complete a thesis project in collaboration with an external organization, give students the opportunity to apply their theoretical knowledge directly to research or real-world projects while deepening their expertise in areas of particular interest.

Career opportunities range from research and development in industry and academia to roles in the quantum computing industry – in particular as a quantum software developer – and in the IT and cybersecurity sector, for example in quantum-inspired algorithms and post-quantum cryptography. Graduates are likewise qualified to work in traditional roles within technology and software companies, consultancy and in data analysis and high-performance computing. Alternatively, the programme also prepares students should they wish to embark on a doctorate and a career in academic research.

Admission requirements for the M.Sc. programme:

• A Bachelor's degree from a German university or an equivalent qualification from a foreign university in mathematics, computer science, physics or a related field.
• A level of knowledge and competence that corresponds to that acquired in the Bachelor's degree programme in Mathematics, Computer Science or Physics taught at Saarland University, i.e. the fundamentals of real analysis and multivariable calculus as well as linear algebra amounting to at least 24 ECTS credits.
• Advanced proficiency in English (at least level B2 of the Common European Framework of Reference for Languages or equivalent)

For further details, please refer to Section 5 of the subject-specific regulations.

• Study regulations (provisional)
• Examination regulations
• Subject-specific regulations (provisional)
• Module catalogue
• Study plans