Under CopyrightSakhnenko, AlonaAlonaSakhnenkoLorenz, Jeanette MiriamJeanette MiriamLorenz2022-12-202022-12-202022https://publica.fraunhofer.de/handle/publica/430199https://doi.org/10.24406/publica-66510.24406/publica-665Our 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.enquantum machine learningquantum simulationnoisy-intermediate-scale quantumNISQVariational Quantum EigensolverVQEquantum reinforcement learningpresentation