Training accuracy and loss for NNQEv1 and NNQEv2 across 5 layers and 40 epochs.

<p>Training accuracy and loss for NNQEv1 and NNQEv2 across 5 layers and 40 epochs.</p>

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書誌詳細
第一著者:	Danish ul Khairi (19660534) (author)
その他の著者:	Kamran Ahsan (10413151) (author), Syed Zeeshan Ali (19660531) (author), Wadee Alhalabi (11951405) (author), Somayah Albaradei (9041843) (author), Muhammad Shahid Anwar (19660537) (author)
出版事項:	2025
主題:	Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified level design choices fruit quality assessment experimental results align aware noise considerations achieving test accuracies scarce apple dataset stable training dynamics entangling gate choice based nnqev2 model fruitq dataset xlink "> work presents utilizing controlled two architectures theoretical justification theoretical analysis quantum circuits gate decomposition employing controlled consistently showed computational study computational execution based architecture
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