712 citations · 842 across the 7 of their papers we have counts for
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quant-ph2019★ 123 cited
Quantum autoencoders to denoise quantum data
Dmytro Bondarenko, Polina Feldmann
Entangled states are an important resource for quantum computation, communication, metrology, and the simulation of many-body systems. However, noise limits the experimental prepar…
quant-ph2019★ 712 cited
Efficient Learning for Deep Quantum Neural Networks
Kerstin Beer, Dmytro Bondarenko, Terry Farrelly +3
Neural networks enjoy widespread success in both research and industry and, with the imminent advent of quantum technology, it is now a crucial challenge to design quantum neural n…