**Not only against the background of the current corona crisis we want to keep the community online up to date and report on new trends and developments. **

The first webinar on 14.4. at 11:00 a.m. is specifically aimed at associated partners and interested parties, whom we would like to inform in particular about community building. In addition, we have further webinars that will introduce the topic of quantum-supported artificial intelligence to interested parties and address dedicated current problems for already advanced interested parties. For example, the webinar Quantum Platforms and Programming Languages on 16.4. at 11:00 a.m. will provide an overview of quantum platforms currently on the market. The webinar on May 7th at 11:00 a.m. will give an introduction to the topic of optimization using quantum computers based on the approaches of quantum annealing. An introduction to variable quantum algorithms will follow on 22.5. at 11:00 am. For those who are already advanced, the webinar Quantum Computing in the NISQ Era on June 4 at 11:00 a.m. is dedicated to a classification of the speedup of quantum algorithms on NISQ computers.

Prof. Dr. Dr. h. c. Frank Leymann, University of Stuttgart: Quantum platforms and programming languages (16.04.2020 at 11 am, target group: beginners, duration: 60 min)

This lecture gives an overview of the quantum platforms and programming languages currently available on the market. The platforms and their core functionalities are presented. Furthermore, the supported programming languages and libraries will be discussed.

Christoph Roch, Ludwig-Maximilians-University Munich: Introduction to Quantum Annealing and Annealer-based optimization (07.05.2020 at 11 am, target group: beginners, duration: 60 min.)

In a lecture of about 60 minutes, the basics of Quantum Annealing are presented. A consistent scenario is used to explain how optimization problems can be solved by a quantum annealer. In particular, the coding of the problem into a binary quadratic model is explained and a demo shows how this model has to be prepared for processing on the D-Wave Quantum Annealer in order to be executed.

Johannes Meyer, Freie Universität Berlin: Introduction to Variational Quantum Algorithms (29.05.2020 at 11 am, target group: beginners, duration: 60 min.)

In this lecture, an intuitive understanding of qubits and quantum gates is given first. Building on this, the differences to classical computing are explained and the special properties of a quantum computer such as superposition, entanglement and decoherence are discussed. These are mirrored to limitations of current quantum hardware. Derived from this, the approach of variable quantum algorithms is explained and the applicability on current quantum hardware is demonstrated with an example.

Prof. Dr. Dr. h. c. Frank Leymann, University of Stuttgart: The bitter truth about quantum algorithms in the NISQ era (04.06.2020 at 11 am, target group: advanced students, duration: 90 min)

Many quantum algorithms promise a significant speedup over classical approaches. However, we are currently still in the NISQ era of quantum computing, i.e. current quantum computers are still error-prone and do not have any error correction capabilities. Therefore, this talk deals with the limitations of NISQ computers and highlights factors that have an essential influence on the (successful) execution of quantum algorithms in the NISQ era. One of these aspects is, for example, the state preparation of data in the quantum computer, or in other words: How do you get the data to be processed into the quantum computer?