Tracking down cable cuts and differentiating them from normal open circuits is critical. Flexibly evolving the circuit design ...
This paper presents the design and FPGA implementation of a high-throughput BCH (n,k) encoder and decoder using a fully pipelined architecture. Unlike conventional designs based on finite state ...
A Dual Autoencoder Approach Using Trainable Encoding Circuits for Optimizing Quantum Neural Networks
Abstract: This research presents a Dual Quantum-Traditional Auto encoder network designed for near-term quantum processors. This Dual AE consists of a variational Auto encoder and decoder network ...
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