47 citations · 94 across the 14 of their papers we have counts for
Showing 2022 · quant-phShow all
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quant-ph2022★ 4 cited
Restricting to the chip architecture maintains the quantum neural network accuracy
Lucas Friedrich, Jonas Maziero
In the era of noisy intermediate-scale quantum devices, variational quantum algorithms (VQAs) stand as a prominent strategy for constructing quantum machine learning models. These…
quant-ph2022★ 47 cited
Avoiding Barren Plateaus with Classical Deep Neural Networks
Lucas Friedrich, Jonas Maziero
Variational quantum algorithms (VQAs) are among the most promising algorithms in the era of Noisy Intermediate Scale Quantum Devices. Such algorithms are constructed using a parame…
quant-ph2022★ 14 cited
Evolution strategies: Application in hybrid quantum-classical neural networks
Lucas Friedrich, Jonas Maziero
With the rapid development of quantum computers, several applications are being proposed for them. Quantum simulations, simulation of chemical reactions, solution of optimization p…