東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Quantum computing and quantum machin...

Van Griensven Thé, Jesse.

FindBook

Google Book

Amazon

博客來

Quantum computing and quantum machine learning for engineers and developers

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantum computing and quantum machine learning for engineers and developers / by Jesse Van Griensven Thé, Roydon Andrew Fraser, Jose Rosas-Bustos.
作者:	Van Griensven Thé, Jesse.
其他作者:	Fraser, Roydon Andrew.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxxvii, 675 p. :ill., digital ;24 cm.
內容註:	Introduction to Quantum Computing -- Fundamentals of Quantum Mechanics -- Quantum Algorithms -- Quantum Computing Hardware -- Introduction to Quantum AI -- Quantum Data Structures and Encoding -- Quantum Neural Networks -- Quantum Optimization Techniques -- Quantum Communication and Cryptography -- Tools and Platforms for Quantum Computing -- Industry Applications of Quantum Computing -- Future Trends in Quantum AI and Engineering.
Contained By:	Springer Nature eBook
標題:	Quantum computing. -
電子資源:	https://doi.org/10.1007/978-3-031-98245-3
ISBN:	9783031982453

Quantum computing and quantum machine learning for engineers and developers
Van Griensven Thé, Jesse.

Quantum computing and quantum machine learning for engineers and developers [electronic resource] /by Jesse Van Griensven Thé, Roydon Andrew Fraser, Jose Rosas-Bustos. - Cham :Springer Nature Switzerland :2025. - xxxvii, 675 p. :ill., digital ;24 cm.

Introduction to Quantum Computing -- Fundamentals of Quantum Mechanics -- Quantum Algorithms -- Quantum Computing Hardware -- Introduction to Quantum AI -- Quantum Data Structures and Encoding -- Quantum Neural Networks -- Quantum Optimization Techniques -- Quantum Communication and Cryptography -- Tools and Platforms for Quantum Computing -- Industry Applications of Quantum Computing -- Future Trends in Quantum AI and Engineering.

This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor's and Grover's) and state-of-the-art machine learning methods. By illustrating how these concepts apply to everyday engineering challenges, ranging from complex optimization and cryptography to high-fidelity simulations, the authors equip readers with the tools they need to develop and deploy quantum-based solutions. Incorporating practical case studies, industry-standard platforms, and tested pedagogical approaches, this resource speaks to both academic researchers and industry professionals, enabling them to seamlessly integrate quantum technologies into their projects and workflows. Draws on content rigorously tested at the PhD level, ensuring both scholarly depth and practical relevance; Features comprehensive coverage of quantum algorithms and machine learning methods tailored to engineering problems; Provides a hands-on, practice-oriented framework using industry-standard platforms: Qiskit, Cirq, and PennyLane.

ISBN: 9783031982453

Standard No.: 10.1007/978-3-031-98245-3doiSubjects--Topical Terms:

2115803
Quantum computing.

LC Class. No.: QA76.889 / .V36 2025

Dewey Class. No.: 006.3843

Quantum computing and quantum machine learning for engineers and developers
LDR:02533nmm a2200325 a 4500 001 2414763
003 DE-He213
005 20251001130648.0
006 m d
007 cr nn 008maaau
008 260205s2025 sz s 0 eng d
020 $a 9783031982453 $q (electronic bk.)
020 $a 9783031982446 $q (paper)
024 7 $a 10.1007/978-3-031-98245-3 $2 doi
035 $a 978-3-031-98245-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.889 $b .V36 2025
072 7 $a UYQM $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 006.3843 $2 23
090 $a QA76.889 $b .V253 2025
100 1 $a Van Griensven Thé, Jesse. $3 3791605
245 1 0 $a Quantum computing and quantum machine learning for engineers and developers $h [electronic resource] / $c by Jesse Van Griensven Thé, Roydon Andrew Fraser, Jose Rosas-Bustos.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xxxvii, 675 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction to Quantum Computing -- Fundamentals of Quantum Mechanics -- Quantum Algorithms -- Quantum Computing Hardware -- Introduction to Quantum AI -- Quantum Data Structures and Encoding -- Quantum Neural Networks -- Quantum Optimization Techniques -- Quantum Communication and Cryptography -- Tools and Platforms for Quantum Computing -- Industry Applications of Quantum Computing -- Future Trends in Quantum AI and Engineering.
520 $a This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor's and Grover's) and state-of-the-art machine learning methods. By illustrating how these concepts apply to everyday engineering challenges, ranging from complex optimization and cryptography to high-fidelity simulations, the authors equip readers with the tools they need to develop and deploy quantum-based solutions. Incorporating practical case studies, industry-standard platforms, and tested pedagogical approaches, this resource speaks to both academic researchers and industry professionals, enabling them to seamlessly integrate quantum technologies into their projects and workflows. Draws on content rigorously tested at the PhD level, ensuring both scholarly depth and practical relevance; Features comprehensive coverage of quantum algorithms and machine learning methods tailored to engineering problems; Provides a hands-on, practice-oriented framework using industry-standard platforms: Qiskit, Cirq, and PennyLane.
650 0 $a Quantum computing. $3 2115803
650 1 4 $a Machine Learning. $3 3382522
650 2 4 $a Quantum Computing. $3 1620399
650 2 4 $a Cryptology. $3 3382308
650 2 4 $a Electronic Circuits and Systems. $3 3538814
650 2 4 $a Algorithms. $3 536374
700 1 $a Fraser, Roydon Andrew. $3 3791606
700 1 $a Rosas-Bustos, Jose. $3 3791607
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-98245-3
950 $a Engineering (SpringerNature-11647)