Mnemonics 发表于 2025-3-23 10:20:19

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指数 发表于 2025-3-23 16:15:05

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Painstaking 发表于 2025-3-23 19:58:12

https://doi.org/10.1007/978-981-19-6897-6Quantum Computing; Quantum Neural Networks; Quantum Annealing; Machine Leaning; Quantum Algorithms

放逐某人 发表于 2025-3-24 01:14:51

978-981-19-6899-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

Statins 发表于 2025-3-24 06:06:37

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organic-matrix 发表于 2025-3-24 09:28:14

Machine Learning: Foundations, Methodologies, and Applicationshttp://image.papertrans.cn/c/image/235112.jpg

拘留 发表于 2025-3-24 13:08:54

María-Isabel Soldevila,Julie Vander Meulenssical networks, for instance a quantum feedforward neural network implemented in terms of a variational circuit is able to achieve a higher value of effective dimension (that is a figure of merit to quantify the generalization capability of a model) with respect to classical feedforward networks [A

GLOSS 发表于 2025-3-24 16:45:53

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HEDGE 发表于 2025-3-24 19:37:12

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引导 发表于 2025-3-25 00:26:52

2730-9908 ics and linear algebra is sufficient; no previous experience with quantum computing or machine learning is needed. The book is aimed at researchers and students with no background in quantum physics and is also978-981-19-6899-0978-981-19-6897-6Series ISSN 2730-9908 Series E-ISSN 2730-9916
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查看完整版本: Titlebook: Concise Guide to Quantum Machine Learning; Davide Pastorello Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive li