國立高雄大學圖資館 |

Language: English

Back

Quantum computing solutionssolving r...

Kommadi, Bhagvan.

Quantum computing solutionssolving real-world problems using quantum computing and algorithms /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantum computing solutionsby Bhagvan Kommadi.
Reminder of title:	solving real-world problems using quantum computing and algorithms /
Author:	Kommadi, Bhagvan.
Published:	Berkeley, CA :Apress :2020.
Description:	xvii, 300 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Quantum computing.
Online resource:	https://doi.org/10.1007/978-1-4842-6516-1
ISBN:	9781484265161$q(electronic bk.)

Quantum computing solutionssolving real-world problems using quantum computing and algorithms /
Kommadi, Bhagvan.

Quantum computing solutionssolving real-world problems using quantum computing and algorithms /[electronic resource] :by Bhagvan Kommadi. - Berkeley, CA :Apress :2020. - xvii, 300 p. :ill., digital ;24 cm.

Part 1: Introduction -- Chapter 1: Quantum Solutions Overview -- Chapter 2: Mathematics Behind Quantum Computing -- Part 2: Quantum Computing Basics -- Chapter 3: Quantum SubSystems and Properties -- Chapter 4: Quantum Information Processing Framework -- Chapter 5: Quantum Simulators -- Chapter 6: Quantum Optimization Algorithms -- Chapter 7: Quantum Algorithms -- Chapter 8: Quantum Neural Network Algorithms -- Chapter 9: Quantum Classification Algorithms -- Chapter 10: Quantum Data Processing -- Chapter 11: Quantum AI Algorithms -- Chapter 12: Quantum Solutions -- Chapter 13: Evolving Quantum Solutions -- Chapter 14: Next Steps.

Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines. Quantum solutions involve building quantum algorithms that improve computational tasks within quantum computing, AI, data science, and machine learning. As opposed to quantum computer innovation, quantum solutions offer automation, cost reduction, and other efficiencies to the problems they tackle. Starting with the basics, this book covers subsystems and properties as well as the information processing network before covering quantum simulators. Solutions such as the Traveling Salesman Problem, quantum cryptography, scheduling, and cybersecurity are discussed in step-by-step detail. The book presents code samples based on real-life problems in a variety of industries, such as risk assessment and fraud detection in banking. In pharma, you will look at drug discovery and protein-folding solutions. Supply chain optimization and purchasing solutions are presented in the manufacturing domain. In the area of utilities, energy distribution and optimization problems and solutions are explained. Advertising scheduling and revenue optimization solutions are included from media and technology verticals. You will: Understand the mathematics behind quantum computing Know the solution benefits, such as automation, cost reduction, and efficiencies Be familiar with the quantum subsystems and properties, including states, protocols, operations, and transformations Be aware of the quantum classification algorithms: classifiers, and support and sparse support vector machines Use AI algorithms, including probability, walks, search, deep learning, and parallelism.

ISBN: 9781484265161$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-6516-1doiSubjects--Topical Terms:

725269
Quantum computing.

LC Class. No.: QA76.889

Dewey Class. No.: 006.3843

Quantum computing solutionssolving real-world problems using quantum computing and algorithms /
LDR:03371nmm a2200325 a 4500 001 591345
003 DE-He213
005 20210317170808.0
006 m d
007 cr nn 008maaau
008 210629s2020 cau s 0 eng d
020 $a 9781484265161$q(electronic bk.)
020 $a 9781484265154$q(paper)
024 7 $a 10.1007/978-1-4842-6516-1 $2 doi
035 $a 978-1-4842-6516-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.889
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 006.3843 $2 23
090 $a QA76.889 $b .K81 2020
100 1 $a Kommadi, Bhagvan. $3 882843
245 1 0 $a Quantum computing solutions $h [electronic resource] : $b solving real-world problems using quantum computing and algorithms / $c by Bhagvan Kommadi.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2020.
300 $a xvii, 300 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part 1: Introduction -- Chapter 1: Quantum Solutions Overview -- Chapter 2: Mathematics Behind Quantum Computing -- Part 2: Quantum Computing Basics -- Chapter 3: Quantum SubSystems and Properties -- Chapter 4: Quantum Information Processing Framework -- Chapter 5: Quantum Simulators -- Chapter 6: Quantum Optimization Algorithms -- Chapter 7: Quantum Algorithms -- Chapter 8: Quantum Neural Network Algorithms -- Chapter 9: Quantum Classification Algorithms -- Chapter 10: Quantum Data Processing -- Chapter 11: Quantum AI Algorithms -- Chapter 12: Quantum Solutions -- Chapter 13: Evolving Quantum Solutions -- Chapter 14: Next Steps.
520 $a Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines. Quantum solutions involve building quantum algorithms that improve computational tasks within quantum computing, AI, data science, and machine learning. As opposed to quantum computer innovation, quantum solutions offer automation, cost reduction, and other efficiencies to the problems they tackle. Starting with the basics, this book covers subsystems and properties as well as the information processing network before covering quantum simulators. Solutions such as the Traveling Salesman Problem, quantum cryptography, scheduling, and cybersecurity are discussed in step-by-step detail. The book presents code samples based on real-life problems in a variety of industries, such as risk assessment and fraud detection in banking. In pharma, you will look at drug discovery and protein-folding solutions. Supply chain optimization and purchasing solutions are presented in the manufacturing domain. In the area of utilities, energy distribution and optimization problems and solutions are explained. Advertising scheduling and revenue optimization solutions are included from media and technology verticals. You will: Understand the mathematics behind quantum computing Know the solution benefits, such as automation, cost reduction, and efficiencies Be familiar with the quantum subsystems and properties, including states, protocols, operations, and transformations Be aware of the quantum classification algorithms: classifiers, and support and sparse support vector machines Use AI algorithms, including probability, walks, search, deep learning, and parallelism.
650 0 $a Quantum computing. $3 725269
650 0 $a Quantum computers. $3 224163
650 1 4 $a Big Data. $3 760530
650 2 4 $a Python. $3 763308
650 2 4 $a Quantum Computing. $3 573152
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-6516-1
950 $a Business and Management (SpringerNature-41169)