Quantum Computing and Artificial Intelligence : : Training Machine and Deep Learning Algorithms on Quantum Computers / / ed. by Pethuru Raj, Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Oswalt Manoj S.
This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and artificial intelligence (AI). The reader will be presented with an introduction and a deeper review of the technological trends and transitions being unearthed in the quantum...
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| Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2023] ©2023 |
| Year of Publication: | 2023 |
| Language: | English |
| Series: | Quantum Computing ,
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| Physical Description: | 1 online resource (VIII, 293 p.) |
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Quantum Computing and Artificial Intelligence : Training Machine and Deep Learning Algorithms on Quantum Computers / ed. by Pethuru Raj, Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Oswalt Manoj S. Berlin ; Boston : De Gruyter, [2023] ©2023 1 online resource (VIII, 293 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Quantum Computing , 2940-0112 Frontmatter -- Preface -- Contents -- List of contributing authors -- Chapter 1 Digital transformation technology and tools: shaping the future of primary health care -- Chapter 2 Predictive maintenance of industrial machines using data collected through IoT sensors and analyzed by machine learning algorithms -- Chapter 3 A deep survey on quantum computing technologies -- Chapter 4 Machine learning and deep learning -- Chapter 5 From evolution to revolution: the contemporary development of quantum computing -- Chapter 6 Real-time big data analytics -- Chapter 7 Quantum processors/networks/sensors -- Chapter 8 Quantum computing in automata theory -- Chapter 9 Quantum computing: future of artificial intelligence and its applications -- Chapter 10 A leap among quantum ML and DL models: a review -- Chapter 11 A perspective study on quantum machine learning models for the areas of medicine, materials, sensing, and communication -- Chapter 12 Quantum computing: application-specific need of the hour -- Chapter 13 Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies -- Chapter 14 Applications of quantum AI for healthcare -- Biography -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and artificial intelligence (AI). The reader will be presented with an introduction and a deeper review of the technological trends and transitions being unearthed in the quantum computing and AI domains. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2024) Artificial Intelligence. Big Data Analytics. Digital Economy. Industry 4.0. Quantum Computing. COMPUTERS / Intelligence (AI) & Semantics. bisacsh Biomedical Applications. Anand, Sruthi, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ananth, J. P., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Angel, C., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bamini, Anusha A. M., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bhatia, Surbhi, editor. edt http://id.loc.gov/vocabulary/relators/edt Chaudhary, Poonam, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Chawla, Pronika, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Chitra, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Dubey, Ashutosh Kumar, editor. edt http://id.loc.gov/vocabulary/relators/edt Elton, R. Johny, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Elwin, Granty Regina J., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gowthamani, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kala Rani, K. Sasi, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kalyani, S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Karthikeyan, B., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Karthikeyan, N., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kiruba, B., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kirubakaran, Stewart S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kumar, Abhishek, editor. edt http://id.loc.gov/vocabulary/relators/edt Manoj S, Oswalt, editor. edt http://id.loc.gov/vocabulary/relators/edt Manoj, Oswalt S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Manoj, S. Oswalt, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Nagarani, S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Niranjana, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Pooranam, N., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Prabha, D., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Premnath, S. P., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Priya, Jeba S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Priyadharsheni, J. M., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Priyadharshini, M. Indira, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Priyadharsini, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Pugalendhi, G. S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Raghu, A. Francis Alexander, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Raghuraman, G., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Raj, Pethuru, editor. edt http://id.loc.gov/vocabulary/relators/edt Raja, M. Manicka, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Rajathi, G. Ignisha, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ranjeetha Priya, K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Rohini, M., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Selvakumari Jeya, I. Jasmine, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Senthil Kumar, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sharma, Shubham, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sharma, Sourabh, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Soms, Nisha, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Surendran, D., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Vedhapriyavadhana, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 9783111175782 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 English 9783111319292 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 9783111318912 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2023 English 9783111319124 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2023 9783111318165 ZDB-23-DEI EPUB 9783110791471 print 9783110791259 https://doi.org/10.1515/9783110791402 https://www.degruyter.com/isbn/9783110791402 Cover https://www.degruyter.com/document/cover/isbn/9783110791402/original |
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Anand, Sruthi, |
| title |
Quantum Computing and Artificial Intelligence : Training Machine and Deep Learning Algorithms on Quantum Computers / |
| spellingShingle |
Quantum Computing and Artificial Intelligence : Training Machine and Deep Learning Algorithms on Quantum Computers / Quantum Computing , Frontmatter -- Preface -- Contents -- List of contributing authors -- Chapter 1 Digital transformation technology and tools: shaping the future of primary health care -- Chapter 2 Predictive maintenance of industrial machines using data collected through IoT sensors and analyzed by machine learning algorithms -- Chapter 3 A deep survey on quantum computing technologies -- Chapter 4 Machine learning and deep learning -- Chapter 5 From evolution to revolution: the contemporary development of quantum computing -- Chapter 6 Real-time big data analytics -- Chapter 7 Quantum processors/networks/sensors -- Chapter 8 Quantum computing in automata theory -- Chapter 9 Quantum computing: future of artificial intelligence and its applications -- Chapter 10 A leap among quantum ML and DL models: a review -- Chapter 11 A perspective study on quantum machine learning models for the areas of medicine, materials, sensing, and communication -- Chapter 12 Quantum computing: application-specific need of the hour -- Chapter 13 Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies -- Chapter 14 Applications of quantum AI for healthcare -- Biography -- Index |
| title_sub |
Training Machine and Deep Learning Algorithms on Quantum Computers / |
| title_full |
Quantum Computing and Artificial Intelligence : Training Machine and Deep Learning Algorithms on Quantum Computers / ed. by Pethuru Raj, Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Oswalt Manoj S. |
| title_fullStr |
Quantum Computing and Artificial Intelligence : Training Machine and Deep Learning Algorithms on Quantum Computers / ed. by Pethuru Raj, Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Oswalt Manoj S. |
| title_full_unstemmed |
Quantum Computing and Artificial Intelligence : Training Machine and Deep Learning Algorithms on Quantum Computers / ed. by Pethuru Raj, Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Oswalt Manoj S. |
| title_auth |
Quantum Computing and Artificial Intelligence : Training Machine and Deep Learning Algorithms on Quantum Computers / |
| title_alt |
Frontmatter -- Preface -- Contents -- List of contributing authors -- Chapter 1 Digital transformation technology and tools: shaping the future of primary health care -- Chapter 2 Predictive maintenance of industrial machines using data collected through IoT sensors and analyzed by machine learning algorithms -- Chapter 3 A deep survey on quantum computing technologies -- Chapter 4 Machine learning and deep learning -- Chapter 5 From evolution to revolution: the contemporary development of quantum computing -- Chapter 6 Real-time big data analytics -- Chapter 7 Quantum processors/networks/sensors -- Chapter 8 Quantum computing in automata theory -- Chapter 9 Quantum computing: future of artificial intelligence and its applications -- Chapter 10 A leap among quantum ML and DL models: a review -- Chapter 11 A perspective study on quantum machine learning models for the areas of medicine, materials, sensing, and communication -- Chapter 12 Quantum computing: application-specific need of the hour -- Chapter 13 Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies -- Chapter 14 Applications of quantum AI for healthcare -- Biography -- Index |
| title_new |
Quantum Computing and Artificial Intelligence : |
| title_sort |
quantum computing and artificial intelligence : training machine and deep learning algorithms on quantum computers / |
| series |
Quantum Computing , |
| series2 |
Quantum Computing , |
| publisher |
De Gruyter, |
| publishDate |
2023 |
| physical |
1 online resource (VIII, 293 p.) Issued also in print. |
| contents |
Frontmatter -- Preface -- Contents -- List of contributing authors -- Chapter 1 Digital transformation technology and tools: shaping the future of primary health care -- Chapter 2 Predictive maintenance of industrial machines using data collected through IoT sensors and analyzed by machine learning algorithms -- Chapter 3 A deep survey on quantum computing technologies -- Chapter 4 Machine learning and deep learning -- Chapter 5 From evolution to revolution: the contemporary development of quantum computing -- Chapter 6 Real-time big data analytics -- Chapter 7 Quantum processors/networks/sensors -- Chapter 8 Quantum computing in automata theory -- Chapter 9 Quantum computing: future of artificial intelligence and its applications -- Chapter 10 A leap among quantum ML and DL models: a review -- Chapter 11 A perspective study on quantum machine learning models for the areas of medicine, materials, sensing, and communication -- Chapter 12 Quantum computing: application-specific need of the hour -- Chapter 13 Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies -- Chapter 14 Applications of quantum AI for healthcare -- Biography -- Index |
| isbn |
9783110791402 9783111175782 9783111319292 9783111318912 9783111319124 9783111318165 9783110791471 9783110791259 |
| issn |
2940-0112 |
| url |
https://doi.org/10.1515/9783110791402 https://www.degruyter.com/isbn/9783110791402 https://www.degruyter.com/document/cover/isbn/9783110791402/original |
| illustrated |
Not Illustrated |
| dewey-hundreds |
600 - Technology |
| dewey-tens |
610 - Medicine & health |
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610 - Medicine & health |
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610.28 |
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3610.28 |
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610.28 |
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610.28 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>09443nam a22013815i 4500</leader><controlfield tag="001">9783110791402</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20240306014423.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">240306t20232023gw fo d z eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="a">2023934427</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110791402</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9783110791402</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)624260</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1393308822</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">DE</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM004000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="8">8p</subfield><subfield code="a">610.28</subfield><subfield code="q">DE-101</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Quantum Computing and Artificial Intelligence :</subfield><subfield code="b">Training Machine and Deep Learning Algorithms on Quantum Computers /</subfield><subfield code="c">ed. by Pethuru Raj, Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Oswalt Manoj S.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin ;</subfield><subfield code="a">Boston : </subfield><subfield code="b">De Gruyter, </subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (VIII, 293 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Quantum Computing ,</subfield><subfield code="x">2940-0112</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">List of contributing authors -- </subfield><subfield code="t">Chapter 1 Digital transformation technology and tools: shaping the future of primary health care -- </subfield><subfield code="t">Chapter 2 Predictive maintenance of industrial machines using data collected through IoT sensors and analyzed by machine learning algorithms -- </subfield><subfield code="t">Chapter 3 A deep survey on quantum computing technologies -- </subfield><subfield code="t">Chapter 4 Machine learning and deep learning -- </subfield><subfield code="t">Chapter 5 From evolution to revolution: the contemporary development of quantum computing -- </subfield><subfield code="t">Chapter 6 Real-time big data analytics -- </subfield><subfield code="t">Chapter 7 Quantum processors/networks/sensors -- </subfield><subfield code="t">Chapter 8 Quantum computing in automata theory -- </subfield><subfield code="t">Chapter 9 Quantum computing: future of artificial intelligence and its applications -- </subfield><subfield code="t">Chapter 10 A leap among quantum ML and DL models: a review -- </subfield><subfield code="t">Chapter 11 A perspective study on quantum machine learning models for the areas of medicine, materials, sensing, and communication -- </subfield><subfield code="t">Chapter 12 Quantum computing: application-specific need of the hour -- </subfield><subfield code="t">Chapter 13 Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies -- </subfield><subfield code="t">Chapter 14 Applications of quantum AI for healthcare -- </subfield><subfield code="t">Biography -- </subfield><subfield code="t">Index</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and artificial intelligence (AI). The reader will be presented with an introduction and a deeper review of the technological trends and transitions being unearthed in the quantum computing and AI domains.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2024)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data Analytics.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Digital Economy.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industry 4.0.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Quantum Computing.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Intelligence (AI) & Semantics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Big Data Analytics.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Biomedical Applications.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Digital Economy.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Industry 4.0.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Quantum Computing.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Anand, Sruthi, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ananth, J. 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