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2022
Presentation
Titel
Machine learning and simulation on NISQ devices
Titel Supplements
Presentation held at QBN Meeting on Quantum Computing Software & Algorithms - Looking Beyond User Access & Simulators, 25.11.2022, Espoo
Abstract
Our team is investigating many fields, which hold a potential for a practical quantum advantage. In this presentation, we show-case some of our recent achievements within the realm of quantum simulation and quantum machine learning. Specifically, we presented some of our results within Munich Quantum Valley project, such as a recent publication in Noise impact investigation for VQE algorithm, results in Quantum reinforcement learning and current state-of-the-art in Quantum kernel methods. A recent publication in Quantum Convolutional NN was presented as well.
Author(s)
Language
English
Verbund
Fraunhofer-Verbund IUK-Technologie