712 citations · 749 across the 10 of their papers we have counts for
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quant-ph2021
Dissipative quantum generative adversarial networks
Kerstin Beer, Gabriel Müller
Noisy intermediate-scale quantum (NISQ) devices build the first generation of quantum computers. Quantum neural networks (QNNs) gained high interest as one of the few suitable quan…
quant-ph2021★ 5 cited
Training Quantum Neural Networks on NISQ Devices
Kerstin Beer, Daniel List, Gabriel Müller +2
The advent of noisy intermediate-scale quantum (NISQ) devices offers crucial opportunities for the development of quantum algorithms. Here we evaluate the noise tolerance of two qu…
quant-ph2021★ 2 cited
Quantum machine learning of graph-structured data
Kerstin Beer, Megha Khosla, Julius Köhler +1
Graph structures are ubiquitous throughout the natural sciences. Here we consider graph-structured quantum data and describe how to carry out its quantum machine learning via quant…