Principles and applications of quantum computing using essential math:
"In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. A...
Gespeichert in:
Weitere Verfasser: | , , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey PA, USA
IGI Global
[2023]
|
Schriftenreihe: | Advances in Computer and Electrical Engineering (ACEE)
|
Schlagworte: | |
Online-Zugang: | DE-83 DE-91 DE-706 DE-898 DE-1050 Volltext |
Zusammenfassung: | "In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation. Principles and applications of quantum computing using essential math, authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing's capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of quantum machine learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and applications of quantum computing using essential math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing's mysteries and driving innovation into uncharted domains."-- |
Beschreibung: | 1 Online-Ressource (xiv, 237 Seiten) Diagramme |
ISBN: | 9781668475379 |
DOI: | 10.4018/978-1-6684-7535-5 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV049353153 | ||
003 | DE-604 | ||
005 | 20231117 | ||
007 | cr|uuu---uuuuu | ||
008 | 231006s2023 xx |||| o|||| 00||| eng d | ||
020 | |a 9781668475379 |9 9781668475379 | ||
024 | 7 | |a 10.4018/978-1-6684-7535-5 |2 doi | |
035 | |a (ZDB-98-IGB)9781668475379 | ||
035 | |a (OCoLC)1403384826 | ||
035 | |a (DE-599)BVBBV049353153 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-706 |a DE-83 |a DE-91 |a DE-898 |a DE-1050 | ||
084 | |a WIR 523 |2 stub | ||
084 | |a DAT 000 |2 stub | ||
245 | 1 | 0 | |a Principles and applications of quantum computing using essential math |c A. Daniel, M. Arvindhan, Kiranmai Bellam, N. Krishnaraj |
264 | 1 | |a Hershey PA, USA |b IGI Global |c [2023] | |
300 | |a 1 Online-Ressource (xiv, 237 Seiten) |b Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Advances in Computer and Electrical Engineering (ACEE) | |
505 | 8 | |a Chapter 1. Quantum metrology: a key ingredient for advancing quantum technologies -- Chapter 2. Exploring models, training methods, and quantum supremacy in machine learning and quantum computing -- Chapter 3. Spintronics system: spin polarization and optical characterization -- Chapter 4. Electronic and optical properties of quantum nano-structures: quantum well systems -- Chapter 5. Quantum engineering: quantum dots -- Chapter 6. An analysis of quantum computing spanning IoT and image processing -- Chapter 7. Quantum-enabled machine learning with a challenge in clothing classification with a QSVM approach -- Chapter 8. Quantum machine learning enhancing AI with quantum computing -- Chapter 9. An enhanced study of quantum computing in the view of machine learning | |
520 | |a "In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation. Principles and applications of quantum computing using essential math, authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing's capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of quantum machine learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and applications of quantum computing using essential math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing's mysteries and driving innovation into uncharted domains."-- | ||
650 | 4 | |a Quantum computing / Mathematics | |
700 | 1 | |a Daniel, A. |4 edt | |
700 | 1 | |a Arvindhan, M. |4 edt | |
700 | 1 | |a Bellam, Kiranmai |4 edt | |
700 | 1 | |a Krishnaraj, N. |4 edt | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781668475355 |
856 | 4 | 0 | |u https://doi.org/10.4018/978-1-6684-7535-5 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-98-IGB | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034613455 | |
966 | e | |u https://doi.org/10.4018/978-1-6684-7535-5 |l DE-83 |p ZDB-98-IGB |q TUB_EBS_IGB |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.4018/978-1-6684-7535-5 |l DE-91 |p ZDB-98-IGB |q TUM_Paketkauf_2023 |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.4018/978-1-6684-7535-5 |l DE-706 |p ZDB-98-IGB |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.4018/978-1-6684-7535-5 |l DE-898 |p ZDB-98-IGB |q FHR_PDA_IGB |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.4018/978-1-6684-7535-5 |l DE-1050 |p ZDB-98-IGB |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1818715324157001728 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author2 | Daniel, A. Arvindhan, M. Bellam, Kiranmai Krishnaraj, N. |
author2_role | edt edt edt edt |
author2_variant | a d ad m a ma k b kb n k nk |
author_facet | Daniel, A. Arvindhan, M. Bellam, Kiranmai Krishnaraj, N. |
building | Verbundindex |
bvnumber | BV049353153 |
classification_tum | WIR 523 DAT 000 |
collection | ZDB-98-IGB |
contents | Chapter 1. Quantum metrology: a key ingredient for advancing quantum technologies -- Chapter 2. Exploring models, training methods, and quantum supremacy in machine learning and quantum computing -- Chapter 3. Spintronics system: spin polarization and optical characterization -- Chapter 4. Electronic and optical properties of quantum nano-structures: quantum well systems -- Chapter 5. Quantum engineering: quantum dots -- Chapter 6. An analysis of quantum computing spanning IoT and image processing -- Chapter 7. Quantum-enabled machine learning with a challenge in clothing classification with a QSVM approach -- Chapter 8. Quantum machine learning enhancing AI with quantum computing -- Chapter 9. An enhanced study of quantum computing in the view of machine learning |
ctrlnum | (ZDB-98-IGB)9781668475379 (OCoLC)1403384826 (DE-599)BVBBV049353153 |
discipline | Informatik Wirtschaftswissenschaften |
discipline_str_mv | Informatik Wirtschaftswissenschaften |
doi_str_mv | 10.4018/978-1-6684-7535-5 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV049353153</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20231117</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">231006s2023 xx |||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781668475379</subfield><subfield code="9">9781668475379</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/978-1-6684-7535-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-98-IGB)9781668475379</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1403384826</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049353153</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield><subfield code="a">DE-83</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-1050</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WIR 523</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Principles and applications of quantum computing using essential math</subfield><subfield code="c">A. Daniel, M. Arvindhan, Kiranmai Bellam, N. Krishnaraj</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey PA, USA</subfield><subfield code="b">IGI Global</subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiv, 237 Seiten)</subfield><subfield code="b">Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Advances in Computer and Electrical Engineering (ACEE)</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Chapter 1. Quantum metrology: a key ingredient for advancing quantum technologies -- Chapter 2. Exploring models, training methods, and quantum supremacy in machine learning and quantum computing -- Chapter 3. Spintronics system: spin polarization and optical characterization -- Chapter 4. Electronic and optical properties of quantum nano-structures: quantum well systems -- Chapter 5. Quantum engineering: quantum dots -- Chapter 6. An analysis of quantum computing spanning IoT and image processing -- Chapter 7. Quantum-enabled machine learning with a challenge in clothing classification with a QSVM approach -- Chapter 8. Quantum machine learning enhancing AI with quantum computing -- Chapter 9. An enhanced study of quantum computing in the view of machine learning</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation. Principles and applications of quantum computing using essential math, authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing's capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of quantum machine learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and applications of quantum computing using essential math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing's mysteries and driving innovation into uncharted domains."--</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Quantum computing / Mathematics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Daniel, A.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Arvindhan, M.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bellam, Kiranmai</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Krishnaraj, N.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781668475355</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4018/978-1-6684-7535-5</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034613455</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-6684-7535-5</subfield><subfield code="l">DE-83</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">TUB_EBS_IGB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-6684-7535-5</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">TUM_Paketkauf_2023</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-6684-7535-5</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-6684-7535-5</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FHR_PDA_IGB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-6684-7535-5</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV049353153 |
illustrated | Not Illustrated |
index_date | 2024-07-03T22:50:27Z |
indexdate | 2024-12-17T19:01:33Z |
institution | BVB |
isbn | 9781668475379 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034613455 |
oclc_num | 1403384826 |
open_access_boolean | |
owner | DE-706 DE-83 DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1050 |
owner_facet | DE-706 DE-83 DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1050 |
physical | 1 Online-Ressource (xiv, 237 Seiten) Diagramme |
psigel | ZDB-98-IGB ZDB-98-IGB TUB_EBS_IGB ZDB-98-IGB TUM_Paketkauf_2023 ZDB-98-IGB FHR_PDA_IGB |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | IGI Global |
record_format | marc |
series2 | Advances in Computer and Electrical Engineering (ACEE) |
spelling | Principles and applications of quantum computing using essential math A. Daniel, M. Arvindhan, Kiranmai Bellam, N. Krishnaraj Hershey PA, USA IGI Global [2023] 1 Online-Ressource (xiv, 237 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Advances in Computer and Electrical Engineering (ACEE) Chapter 1. Quantum metrology: a key ingredient for advancing quantum technologies -- Chapter 2. Exploring models, training methods, and quantum supremacy in machine learning and quantum computing -- Chapter 3. Spintronics system: spin polarization and optical characterization -- Chapter 4. Electronic and optical properties of quantum nano-structures: quantum well systems -- Chapter 5. Quantum engineering: quantum dots -- Chapter 6. An analysis of quantum computing spanning IoT and image processing -- Chapter 7. Quantum-enabled machine learning with a challenge in clothing classification with a QSVM approach -- Chapter 8. Quantum machine learning enhancing AI with quantum computing -- Chapter 9. An enhanced study of quantum computing in the view of machine learning "In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation. Principles and applications of quantum computing using essential math, authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing's capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of quantum machine learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and applications of quantum computing using essential math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing's mysteries and driving innovation into uncharted domains."-- Quantum computing / Mathematics Daniel, A. edt Arvindhan, M. edt Bellam, Kiranmai edt Krishnaraj, N. edt Erscheint auch als Druck-Ausgabe 9781668475355 https://doi.org/10.4018/978-1-6684-7535-5 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Principles and applications of quantum computing using essential math Chapter 1. Quantum metrology: a key ingredient for advancing quantum technologies -- Chapter 2. Exploring models, training methods, and quantum supremacy in machine learning and quantum computing -- Chapter 3. Spintronics system: spin polarization and optical characterization -- Chapter 4. Electronic and optical properties of quantum nano-structures: quantum well systems -- Chapter 5. Quantum engineering: quantum dots -- Chapter 6. An analysis of quantum computing spanning IoT and image processing -- Chapter 7. Quantum-enabled machine learning with a challenge in clothing classification with a QSVM approach -- Chapter 8. Quantum machine learning enhancing AI with quantum computing -- Chapter 9. An enhanced study of quantum computing in the view of machine learning Quantum computing / Mathematics |
title | Principles and applications of quantum computing using essential math |
title_auth | Principles and applications of quantum computing using essential math |
title_exact_search | Principles and applications of quantum computing using essential math |
title_exact_search_txtP | Principles and applications of quantum computing using essential math |
title_full | Principles and applications of quantum computing using essential math A. Daniel, M. Arvindhan, Kiranmai Bellam, N. Krishnaraj |
title_fullStr | Principles and applications of quantum computing using essential math A. Daniel, M. Arvindhan, Kiranmai Bellam, N. Krishnaraj |
title_full_unstemmed | Principles and applications of quantum computing using essential math A. Daniel, M. Arvindhan, Kiranmai Bellam, N. Krishnaraj |
title_short | Principles and applications of quantum computing using essential math |
title_sort | principles and applications of quantum computing using essential math |
topic | Quantum computing / Mathematics |
topic_facet | Quantum computing / Mathematics |
url | https://doi.org/10.4018/978-1-6684-7535-5 |
work_keys_str_mv | AT daniela principlesandapplicationsofquantumcomputingusingessentialmath AT arvindhanm principlesandapplicationsofquantumcomputingusingessentialmath AT bellamkiranmai principlesandapplicationsofquantumcomputingusingessentialmath AT krishnarajn principlesandapplicationsofquantumcomputingusingessentialmath |