Quantum computing and machine learning are key technologies that will significantly shape our technological landscape in the coming decades, and in some cases are already doing so today. In order to achieve competitive results in these fields, highly qualified experts with expertise in both areas are required. The module covers topics at the intersection of quantum computing and machine learning. It is aimed at people with a quantum computing background as well as people with a background in data science. Participants will gain the ability to successfully apply machine learning with quantum computers. To this end, numerous current methods are presented that enable them to react to future hardware advances and independently develop new QML algorithms. The concepts taught are illustrated with a large number of case studies from real applications and projects. A large part of the course is dedicated to consolidating what has been learnt with practical application examples.

Aims of the training

The particpants...

• know the basic formal concepts of quantum computing (quantum state, bit vs. qubit, measurement)
  
• know the basic formal concepts of machine learning (objective function, model class, cross-validation, kernel function)
  
• learn to use ideas and building blocks of quantum algorithms for QML problems
  

Knowledge / Understanding

The particpants...

• can describe the Quantum Support Vector Machine method and use it in application cases
  
• understand the strengths, weaknesses and limitations of current QML procedures
  

Skills

The particpants...

• can read quantum circuits and create them independently
  
• are able to encode data on the quantum computer and subsequently analyse the encoding,
  
• are able to apply hybrid quantum-classical optimisation algorithms (e.g. Variational Quantum Eigensolver (VQE) and Quadratic Unconstrained Binary Optimisation (QUBO)),
  
• are able to create quantum clustering algorithms and implement them in practical examples
  

Certification

Certification is carried out by the Fraunhofer Personnel Certification Centre. The certificate attests to the graduates' relevant innovative practical knowledge and proven expertise.

Requirements for certification

Degree or equivalent qualification by individual proof.

Language

English