Quantum computing Lecture series

Quantum computing is not just a physics problem. It is a computer science challenge. While quantum computing is often introduced through physics, many of the key challenges are computational: algorithms, software, and reliability. Explore the intersection of quantum and computer science in this lecture series.

Themes explored in this lecture series

Quantum Algorithms and Complexity Theory

Focus on quantum algorithms, complexity classes (BQP, QMA), quantum supremacy, and the theoretical limits of quantum computers.

Quantum Machine Learning

Focus on how quantum computing can accelerate or improve machine learning, as well as the intersection between QML and classical ML.

Quantum Software and Programming Languages

Focus on programming languages, compilers, software tools, formal verification, and the development of software for quantum computers.

Quantum Cryptography and Communication

Focus on Quantum Key Distribution (QKD), quantum networks, and post-quantum cryptography.

Quantum Hardware, Error Correction, and Architecture

Focus on hardware architectures, fault tolerance, quantum error correction, and how computer science can contribute to stable and scalable quantum systems.

Explore the talks

This series is not only about learning – but about engaging with the field. We highlight research directions where computer scientists can contribute

Freja Elbro, The Alexandra Institute

Robin Kaarsgaard Sales, University of Southern Denmark

Mark Koch, Quantinuum and University of Oxford

David Aasen, Microsoft Station Q

Matthias Christandl, University of Copenhagen

About the lecture series

DIREC has received funding for a project to strengthen computer scientists working with algorithms for quantum computing. The project will feature two seasons of recorded lectures by leading experts, covering key topics at the intersection of quantum computing and computer science. Each lecture will be accompanied by curated reading lists and open research challenges, making the content accessible to researchers, educators, and industry professionals alike.

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