Robin Kaarsgaard Sales, University of Southern Denmark
Quantum computing is not just a physics problem. It is a computer science challenge.
Start here. Explore. Go deeper.
Start here
Quantum computing is often introduced through physics But many of the key challenges are computational: algorithms, software, and reliability. This series helps computer scientists enter the field.
Explore the entry points into quantum computing
Focus on quantum algorithms, complexity classes (BQP, QMA), quantum supremacy, and the theoretical limits of quantum computers.
Focus on how quantum computing can accelerate or improve machine learning, as well as the intersection between QML and classical ML.
Focus on programming languages, compilers, software tools, formal verification, and the development of software for quantum computers.
Focus on Quabtum Key Distribution (QKD), quantum networks, and post-quantum cryptography.
Focus on hardware architectures, fault tolerance, quantum error correction, and how computer science can contribute to stable and scalable quantum systems.
From lectures to research
This series is not only about learning – but about engaging with the field. We highlight research directions where computer scientists can contribute
Explore the talks
Robin Kaarsgaard Sales, University of Southern Denmark
David Aasen, Microsoft Station Q
Matthias Christandl, University of Copenhagen
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