找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Quantum Machine Learning: An Applied Approach; The Theory and Appli Santanu Ganguly Book 2021 Santanu Ganguly 2021 Quantum Mechanics.machin

[復制鏈接]
查看: 32825|回復: 43
樓主
發(fā)表于 2025-3-21 19:16:16 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Quantum Machine Learning: An Applied Approach
副標題The Theory and Appli
編輯Santanu Ganguly
視頻videohttp://file.papertrans.cn/782/781272/781272.mp4
概述The first book related to hands-on aspects of quantum machine learning.Optimized for self-study without jargon and centered on easy reading.Code examples utilizing open source libraries and languages
圖書封面Titlebook: Quantum Machine Learning: An Applied Approach; The Theory and Appli Santanu Ganguly Book 2021 Santanu Ganguly 2021 Quantum Mechanics.machin
描述.Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research..The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost..Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qiskit, Rigetti‘s Forest, D-Wave‘s dOcean, Google‘s Cirq and brand new TensorFlow Quantum, and Xanadu‘s PennyLane, accompanied by guided implementation instructions. Wherever applicable, the book also shares v
出版日期Book 2021
關鍵詞Quantum Mechanics; machine learning; quantum computing; artificial intelligence; Grover’s search algorit
版次1
doihttps://doi.org/10.1007/978-1-4842-7098-1
isbn_softcover978-1-4842-7097-4
isbn_ebook978-1-4842-7098-1
copyrightSantanu Ganguly 2021
The information of publication is updating

書目名稱Quantum Machine Learning: An Applied Approach影響因子(影響力)




書目名稱Quantum Machine Learning: An Applied Approach影響因子(影響力)學科排名




書目名稱Quantum Machine Learning: An Applied Approach網(wǎng)絡公開度




書目名稱Quantum Machine Learning: An Applied Approach網(wǎng)絡公開度學科排名




書目名稱Quantum Machine Learning: An Applied Approach被引頻次




書目名稱Quantum Machine Learning: An Applied Approach被引頻次學科排名




書目名稱Quantum Machine Learning: An Applied Approach年度引用




書目名稱Quantum Machine Learning: An Applied Approach年度引用學科排名




書目名稱Quantum Machine Learning: An Applied Approach讀者反饋




書目名稱Quantum Machine Learning: An Applied Approach讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 21:38:47 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:12:37 | 只看該作者
Rise of the Quantum Machines: Fundamentals,ways been a champion of thoughts leading toward computers leveraging laws of quantum mechanics when he stated, “There’s plenty of room at the bottom” and, “Nature isn’t classical. If you want to make a simulation of nature, you’d better make it quantum mechanical,” which means to properly simulate quantum systems, you must use a quantum computer.
地板
發(fā)表于 2025-3-22 05:43:57 | 只看該作者
5#
發(fā)表于 2025-3-22 12:41:08 | 只看該作者
6#
發(fā)表于 2025-3-22 13:07:35 | 只看該作者
7#
發(fā)表于 2025-3-22 18:49:54 | 只看該作者
8#
發(fā)表于 2025-3-22 22:46:25 | 只看該作者
9#
發(fā)表于 2025-3-23 01:47:57 | 只看該作者
10#
發(fā)表于 2025-3-23 09:14:42 | 只看該作者
Deep Quantum Learning,ted annealing. Physics also offers the ., which, in its quantum form, is .. Hence, physical machines can solve the mathematical problem of optimization, including constraints—a property that can be extended to using quantum systems to treat classical and quantum data.
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 16:38
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
称多县| 镇赉县| 健康| 正定县| 海原县| 邵阳市| 杭锦后旗| 德清县| 会东县| 沭阳县| 分宜县| 嘉善县| 黑山县| 黔南| 拉萨市| 繁昌县| 大洼县| 新宾| 屯门区| 旅游| 株洲市| 莲花县| 榆林市| 惠来县| 乌兰察布市| 楚雄市| 陆河县| 青铜峡市| 双峰县| 湟中县| 仙游县| 申扎县| 黑山县| 濮阳市| 茌平县| 民乐县| 株洲市| 廊坊市| 沈丘县| 玛纳斯县| 泰兴市|