Quantum Computing
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Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
Jan-Nico Zaech, Martin Danelljan, Luc Van Gool arXiv 2023 Abstract Adiabatic quantum computing (AQC) is a promising approach for discrete and often NP-hard optimization problems. Current AQCs allow to implement problems of research interest, which has sparked the development of quantum representations for many computer vision tasks. Despite requiring multiple measurements from the noisy AQC,…
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Quantum Computer Vision and Machine Learning @ CVPR 2023
I am an organizer of the workshop on Quantum Computer Vision and Machine Learning at CVPR 2023 in Vancouver, Canada.
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Adiabatic Quantum Computing for Multi Object Tracking
A Multi-Object Tracking algorithm that can be solved with Adiabatic Quantum Computing