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Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with Completeness Analysis
March 12, 2024, 4:41 a.m. | Andi Chen, Hua-Lei Yin, Zeng-Bing Chen, Shengjun Wu
cs.LG updates on arXiv.org arxiv.org
Abstract: With the contemporary digital technology approaching, deep neural networks are emerging as the foundational algorithm of the artificial intelligence boom. Whereas, the evolving social demands have been emphasizing the necessity of novel methodologies to substitute traditional neural networks. Concurrently, the advent of the post-Moore era has spurred the development of quantum-inspired neural networks with outstanding potentials at certain circumstances. Nonetheless, a definitive evaluating system with detailed metrics is tremendously vital and indispensable owing to the …
abstract algorithm analysis artificial artificial intelligence arxiv boom cs.et cs.lg digital digital technology hybrid intelligence networks neural networks novel pattern recognition quantum recognition resnet social technology type
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