Corrigendum: Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning

TL;DR: In this article , the authors showed that the accuracy of their solution is similar to classical convolutional neural networks with comparable numbers of trainable parameters, and they expect that their findings will provide a new step toward the use of quantum neural networks for solving relevant problems in the NISQ era and beyond.

Abstract: In the original article, there were errors in the Abstract section, page 1. The sentences “Our results show that accuracies of our solution are similar to classical convolutional neural networks with comparable numbers of trainable parameters. We expect that our finding provide a new step towards the use of quantum neural networks for solving relevant problems in the NISQ era and beyond” have been copyedited for clarity. The corrected sentences appears below: “Our results show that the accuracy of our solution is similar to classical convolutional neural networks with comparable numbers of trainable parameters. We expect that our findings will provide a new step toward the use of quantum neural networks for solving relevant problems in the NISQ era and beyond.” In the original article, there was a spelling mistake in one of the keywords. Instead of “paramaterized,” it should be “parameterized.” In the original article, there was an error in the Introduction section, page 1, first paragraph. The sentence “Specifically, in the quantum gate-based model, quantum algorithms are implemented as a sequence of logical operations under the qubits (quantum analogs of classical bits), which compose the corresponded quantum circuits terminating by qubit-selective measurements [3]” has been copyedited for clarity. The corrected sentence appears below: “Specifically, in the quantum gate-based model, quantum algorithms are implemented as a sequence of logical operations under the qubits (quantum analogs of classical bits), which comprise the corresponding quantum circuits terminated by qubit-selective measurements [3].” OPEN ACCESS