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quant-ph2020
Storage capacity and learning capability of quantum neural networks
Maciej Lewenstein, Aikaterini Gratsea, Andreu Riera-Campeny +3
We study the storage capacity of quantum neural networks (QNNs) described as completely positive trace preserving (CPTP) maps, which act on an -dimensional Hilbert space. We dem…
quant-ph2020★ 21 cited
Universal and optimal coin sequences for high entanglement generation in 1D discrete time quantum walks
Aikaterini Gratsea, Friederike Metz, Thomas Busch
Entanglement is a key resource in many quantum information applications and achieving high values independently of the initial conditions is an important task. Here we address the…