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Random Quantum Neural Networks for Noisy Image Recognition

Published:2023-09-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
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Author:

Konar Debanjan¹,Gelenbe Erol²,Bhandary Soham³,Das Sarma Aditya³,Cangi Attila⁴

Affiliation:

1. Purdue Quantum Science and Engineering Institute (PQSEI), School of Industrial Eng., Purdue University,West Lafayette,USA

2. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences,Poland

3. Jadavpur University,Dept. of Electronics & Telecommunication Engg.,Kolkata,India

4. CASUS - Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf (HZDR),Görlitz,Germany

Funder

Germany's Federal Ministry of Education and Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313590/10313594/10313687.pdf?arnumber=10313687

Reference8 articles.

1. Deep Spiking Quantum Neural Network for Noisy Image Classification

2. Deep Learning for Classical Japanese Literature;clanuwat;proc 32nd Conference on Neural Information Processing Systems (NeurIPS),0

3. Experimental magic state distillation for fault-tolerant quantum computing

4. Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid Quantum Neural Network Image Anti-Noise Classification Model Combined with Error Mitigation;Applied Sciences;2024-02-08

2. Deep Revamped Quantum Convolutional Neural Network on Fashion MNIST Dataset;Data and Metadata;2024-01-01

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