Menno Veldhorst

Menno Veldhorst is tenure-track team leader in the Fault-tolerant quantum computing roadmap and roadmap leader QuTech Academy at QuTech, Delft University of Technology.

He received his PhD-degree cum laude in 2012 for his research on superconducting and topological hybrids at the University of Twente and was awarded the PhD Overijssel award. He then moved to the University of New South Wales in Sydney to work on quantum computation using silicon quantum dots. Highlights were the demonstration of single- and two-qubit quantum logic with record coherence times for quantum dot qubits, recognized by PhysicsWorld as one of the top-ten breakthroughs in physics in 2015.

At QuTech, Veldhorst is working to realize extendable silicon qubit systems for large-scale quantum computation.

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Fundamentals of Quantum Information (edX) EdX
Delft University of Technology,DelftX

Fundamentals of Quantum Information (edX)

Dive into the world of quantum computing with our Fundamentals of Quantum Information course, designed for those who want to grasp the basics of quantum mechanics applied to information processing. This course will teach you about quantum circuits and entanglement, providing a solid foundation in quantum information theory.

Self Paced
Self-Paced
The Hardware of a Quantum Computer (edX) EdX
Delft University of Technology,DelftX

The Hardware of a Quantum Computer (edX)

Dive into the fascinating world of quantum computing with our course, 'The Hardware of a Quantum Computer'. Discover the intricate details of building and controlling these cutting-edge machines that promise to redefine information processing and potentially revolutionize daily life. Learn about qubits, superposition, entanglement, and more.

Self Paced
Self-Paced
Development and Applications of Germanium Quantum Technologies (edX) EdX
Delft University of Technology,DelftX

Development and Applications of Germanium Quantum Technologies (edX)

Embark on a journey to understand the intricacies of Germanium Quantum Technologies. This course will guide you through the physics behind these revolutionary qubits, their manufacturing processes, control methods, and real-world applications. You'll also discover how machine learning can optimize performance and delve into quantum error correction and algorithm development.

Self Paced
Self-Paced
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