Then this two-day tutorial event is exactly for you!
Our focus is to show how quantum computers are programmed today while providing the essential math and physics background required to develop quantum algorithms. The tutorial builds on our successful tutorials at ISC23 (half day), ISC24 (full day), and SC 24 by extending and refining the parts challenging to the participants.
The event is tailored for interested students and scientists. No prior quantum computing, quantum physics or computer science knowledge is required. The only requirement is very basic Python programming and basic linear algebra math (concept of a matrix and a vector as well as matrix-vector products).
The first part introduces basic ideas and examples of gate-based quantum computing, specifically designed for participants with no prior knowledge.
The second part illustrates quantum classifiers, such as the Variational Quantum Classifier, as an introduction to Quantum Machine Learning.
The tutorial will use the Qiskit framework to show how complex quantum algorithms can be constructed from available building blocks. As participants progress through this tutorial, they will acquire practical insights into the complexities of quantum computing, equipping them with knowledge and skills to explore the potential of quantum algorithms in their respective fields.
This course includes hands-on tutorials on the computer cluster systems of the NHR centers.
Note: the number of on-site seats is limited and the allocation of seats is done by the organizers.
This event is supported by the National High-performance Computing Alliance (NHR, nhr-verein.de):
This event is jointly organized by three NHR centers: