Real-world challenges in quantum electronics and machine computing:
"Quantum computers are unparalleled in terms of computational power, and they have a multitude of promising applications. However, these computers are prone to noise and instability caused by environmental interactions, making the use of these advanced machines rather impractical in most scenar...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Schlagworte: | |
| Online-Zugang: | DE-863 |
| Zusammenfassung: | "Quantum computers are unparalleled in terms of computational power, and they have a multitude of promising applications. However, these computers are prone to noise and instability caused by environmental interactions, making the use of these advanced machines rather impractical in most scenarios. Despite these challenges, Real-World Challenges in Quantum Electronics and Machine Computing provides innovative solutions to navigate the complexities of quantum computation, thus offering hope during this time of turbulence.By delving into the intricacies of quantum electronics and machine computing, this book equips readers with the tools to overcome the hurdles obstructing the path to practical quantum computing. It serves as a roadmap for students, practitioners, and professionals, guiding them through the intricacies of error correction techniques and hardware development. With its comprehensive coverage of cutting-edge topics and innovative solutions, the book empowers readers to tackle the most pressing challenges facing the quantum computing landscape. As researchers and engineers strive to unlock the full potential of quantum computation, this book stands as an indispensable resource, guiding them toward a future where quantum computing transcends the realm of theory and becomes a tangible reality."-- |
| Beschreibung: | 33 PDFs (427 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369340028 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Real-world challenges in quantum electronics and machine computing |c Christo Ananth, T. Ananth Kumar, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 33 PDFs (427 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Adapting talent strategy in the gig economy to incorporate the impact of quantum computing on work evolution -- Chapter 2. Advancements in battery technology: quantum computing perspectives -- Chapter 3. Battery revolution: quantum computing and machine intelligence synergy -- Chapter 4. Efficient power grid management using quantum computing and machine learning -- Chapter 5. Enabling smart power grids through quantum computing and artificial intelligence -- Chapter 6. Harnessing quantum computers for efficient optimization in chemical engineering -- Chapter 7. Integrated quantum computing and machine intelligence for sustainable energy solutions -- Chapter 8. Machine learning-driven design of quantum batteries for sustainable energy storage -- Chapter 9. Machine learning-driven optimization of battery materials via quantum computing -- Chapter 10. Machine learning-guided optimization of chemical processes using quantum computers -- Chapter 11. Optimizing molecular structures quantum computing in chemical simulation -- Chapter 12. Optimizing power grid resilience through quantum computing -- Chapter 13. Quantum algorithms for accelerated simulation in materials chemistry -- Chapter 14. Quantum algorithms for intelligent optimisation in battery manufacturing -- Chapter 15. Quantum computing and artificial intelligence in materials discovery for batteries -- Chapter 16. Quantum computing and machine learning for smart grid management -- Chapter 17. Quantum computing in the era of intelligent battery design -- Chapter 18. Quantum computing machine intelligence for optimal battery performance -- Chapter 19. Quantum-assisted artificial intelligence in chemical reaction prediction -- Chapter 20. Quantum-inspired machine learning for chemical reaction path prediction -- Chapter 21. Realizing sustainable energy quantum computing applications in power grids -- Chapter 22. Revolutionizing battery design through quantum computing and machine intelligence -- Chapter 23. Smart grids 2.0-: quantum computing and machine learning integration -- Chapter 24. Smarter power grids: quantum computing for enhanced energy distribution -- Chapter 25. Towards green chemistry quantum computing applications in chemical synthesis -- Chapter 26. Towards greener power grids quantum computing solutions for energy efficiency. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Quantum computers are unparalleled in terms of computational power, and they have a multitude of promising applications. However, these computers are prone to noise and instability caused by environmental interactions, making the use of these advanced machines rather impractical in most scenarios. Despite these challenges, Real-World Challenges in Quantum Electronics and Machine Computing provides innovative solutions to navigate the complexities of quantum computation, thus offering hope during this time of turbulence.By delving into the intricacies of quantum electronics and machine computing, this book equips readers with the tools to overcome the hurdles obstructing the path to practical quantum computing. It serves as a roadmap for students, practitioners, and professionals, guiding them through the intricacies of error correction techniques and hardware development. With its comprehensive coverage of cutting-edge topics and innovative solutions, the book empowers readers to tackle the most pressing challenges facing the quantum computing landscape. As researchers and engineers strive to unlock the full potential of quantum computation, this book stands as an indispensable resource, guiding them toward a future where quantum computing transcends the realm of theory and becomes a tangible reality."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/12/2024). | ||
| 650 | 0 | |a Quantum computers. | |
| 650 | 0 | |a Quantum electronics. | |
| 653 | |a Alternative Technology. | ||
| 653 | |a Atom-Photon Entanglement. | ||
| 653 | |a Coherence Protection. | ||
| 653 | |a Colloquium. | ||
| 653 | |a Controller Design. | ||
| 653 | |a Digital Control. | ||
| 653 | |a Fault-Tolerant Quantum Computation. | ||
| 653 | |a Fuzzy Logic Controller. | ||
| 653 | |a Hamiltonian Models. | ||
| 653 | |a IonQ. | ||
| 653 | |a LDPC Codes. | ||
| 653 | |a Mach-Zehnder Interferometer. | ||
| 653 | |a MATLAB Tool. | ||
| 653 | |a Optical Fiber. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Ananth, Christo |e editor. | |
| 700 | 1 | |a Kumar, T. Ananth |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369340011 |
| 966 | 4 | 0 | |l DE-863 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4001-1 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00337959 |
|---|---|
| _version_ | 1825936823879204864 |
| adam_text | |
| any_adam_object | |
| author2 | Ananth, Christo Kumar, T. Ananth |
| author2_role | edt edt |
| author2_variant | c a ca t a k ta tak |
| author_facet | Ananth, Christo Kumar, T. Ananth |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QC688 |
| callnumber-raw | QC688 .R43 2024e |
| callnumber-search | QC688 .R43 2024e |
| callnumber-sort | QC 3688 R43 42024E |
| callnumber-subject | QC - Physics |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Adapting talent strategy in the gig economy to incorporate the impact of quantum computing on work evolution -- Chapter 2. Advancements in battery technology: quantum computing perspectives -- Chapter 3. Battery revolution: quantum computing and machine intelligence synergy -- Chapter 4. Efficient power grid management using quantum computing and machine learning -- Chapter 5. Enabling smart power grids through quantum computing and artificial intelligence -- Chapter 6. Harnessing quantum computers for efficient optimization in chemical engineering -- Chapter 7. Integrated quantum computing and machine intelligence for sustainable energy solutions -- Chapter 8. Machine learning-driven design of quantum batteries for sustainable energy storage -- Chapter 9. Machine learning-driven optimization of battery materials via quantum computing -- Chapter 10. Machine learning-guided optimization of chemical processes using quantum computers -- Chapter 11. Optimizing molecular structures quantum computing in chemical simulation -- Chapter 12. Optimizing power grid resilience through quantum computing -- Chapter 13. Quantum algorithms for accelerated simulation in materials chemistry -- Chapter 14. Quantum algorithms for intelligent optimisation in battery manufacturing -- Chapter 15. Quantum computing and artificial intelligence in materials discovery for batteries -- Chapter 16. Quantum computing and machine learning for smart grid management -- Chapter 17. Quantum computing in the era of intelligent battery design -- Chapter 18. Quantum computing machine intelligence for optimal battery performance -- Chapter 19. Quantum-assisted artificial intelligence in chemical reaction prediction -- Chapter 20. Quantum-inspired machine learning for chemical reaction path prediction -- Chapter 21. Realizing sustainable energy quantum computing applications in power grids -- Chapter 22. Revolutionizing battery design through quantum computing and machine intelligence -- Chapter 23. Smart grids 2.0-: quantum computing and machine learning integration -- Chapter 24. Smarter power grids: quantum computing for enhanced energy distribution -- Chapter 25. Towards green chemistry quantum computing applications in chemical synthesis -- Chapter 26. Towards greener power grids quantum computing solutions for energy efficiency. |
| ctrlnum | (CaBNVSL)slc00006605 (OCoLC)1452412643 |
| dewey-full | 537.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 537 - Electricity and electronics |
| dewey-raw | 537.5 |
| dewey-search | 537.5 |
| dewey-sort | 3537.5 |
| dewey-tens | 530 - Physics |
| discipline | Physik |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00337959 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-07T12:04:12Z |
| institution | BVB |
| isbn | 9798369340028 |
| language | English |
| oclc_num | 1452412643 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 33 PDFs (427 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global |
| record_format | marc |
| spelling | Real-world challenges in quantum electronics and machine computing Christo Ananth, T. Ananth Kumar, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 33 PDFs (427 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Adapting talent strategy in the gig economy to incorporate the impact of quantum computing on work evolution -- Chapter 2. Advancements in battery technology: quantum computing perspectives -- Chapter 3. Battery revolution: quantum computing and machine intelligence synergy -- Chapter 4. Efficient power grid management using quantum computing and machine learning -- Chapter 5. Enabling smart power grids through quantum computing and artificial intelligence -- Chapter 6. Harnessing quantum computers for efficient optimization in chemical engineering -- Chapter 7. Integrated quantum computing and machine intelligence for sustainable energy solutions -- Chapter 8. Machine learning-driven design of quantum batteries for sustainable energy storage -- Chapter 9. Machine learning-driven optimization of battery materials via quantum computing -- Chapter 10. Machine learning-guided optimization of chemical processes using quantum computers -- Chapter 11. Optimizing molecular structures quantum computing in chemical simulation -- Chapter 12. Optimizing power grid resilience through quantum computing -- Chapter 13. Quantum algorithms for accelerated simulation in materials chemistry -- Chapter 14. Quantum algorithms for intelligent optimisation in battery manufacturing -- Chapter 15. Quantum computing and artificial intelligence in materials discovery for batteries -- Chapter 16. Quantum computing and machine learning for smart grid management -- Chapter 17. Quantum computing in the era of intelligent battery design -- Chapter 18. Quantum computing machine intelligence for optimal battery performance -- Chapter 19. Quantum-assisted artificial intelligence in chemical reaction prediction -- Chapter 20. Quantum-inspired machine learning for chemical reaction path prediction -- Chapter 21. Realizing sustainable energy quantum computing applications in power grids -- Chapter 22. Revolutionizing battery design through quantum computing and machine intelligence -- Chapter 23. Smart grids 2.0-: quantum computing and machine learning integration -- Chapter 24. Smarter power grids: quantum computing for enhanced energy distribution -- Chapter 25. Towards green chemistry quantum computing applications in chemical synthesis -- Chapter 26. Towards greener power grids quantum computing solutions for energy efficiency. Restricted to subscribers or individual electronic text purchasers. "Quantum computers are unparalleled in terms of computational power, and they have a multitude of promising applications. However, these computers are prone to noise and instability caused by environmental interactions, making the use of these advanced machines rather impractical in most scenarios. Despite these challenges, Real-World Challenges in Quantum Electronics and Machine Computing provides innovative solutions to navigate the complexities of quantum computation, thus offering hope during this time of turbulence.By delving into the intricacies of quantum electronics and machine computing, this book equips readers with the tools to overcome the hurdles obstructing the path to practical quantum computing. It serves as a roadmap for students, practitioners, and professionals, guiding them through the intricacies of error correction techniques and hardware development. With its comprehensive coverage of cutting-edge topics and innovative solutions, the book empowers readers to tackle the most pressing challenges facing the quantum computing landscape. As researchers and engineers strive to unlock the full potential of quantum computation, this book stands as an indispensable resource, guiding them toward a future where quantum computing transcends the realm of theory and becomes a tangible reality."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/12/2024). Quantum computers. Quantum electronics. Alternative Technology. Atom-Photon Entanglement. Coherence Protection. Colloquium. Controller Design. Digital Control. Fault-Tolerant Quantum Computation. Fuzzy Logic Controller. Hamiltonian Models. IonQ. LDPC Codes. Mach-Zehnder Interferometer. MATLAB Tool. Optical Fiber. Electronic books. Ananth, Christo editor. Kumar, T. Ananth editor. IGI Global, publisher. Print version: 9798369340011 |
| spellingShingle | Real-world challenges in quantum electronics and machine computing Chapter 1. Adapting talent strategy in the gig economy to incorporate the impact of quantum computing on work evolution -- Chapter 2. Advancements in battery technology: quantum computing perspectives -- Chapter 3. Battery revolution: quantum computing and machine intelligence synergy -- Chapter 4. Efficient power grid management using quantum computing and machine learning -- Chapter 5. Enabling smart power grids through quantum computing and artificial intelligence -- Chapter 6. Harnessing quantum computers for efficient optimization in chemical engineering -- Chapter 7. Integrated quantum computing and machine intelligence for sustainable energy solutions -- Chapter 8. Machine learning-driven design of quantum batteries for sustainable energy storage -- Chapter 9. Machine learning-driven optimization of battery materials via quantum computing -- Chapter 10. Machine learning-guided optimization of chemical processes using quantum computers -- Chapter 11. Optimizing molecular structures quantum computing in chemical simulation -- Chapter 12. Optimizing power grid resilience through quantum computing -- Chapter 13. Quantum algorithms for accelerated simulation in materials chemistry -- Chapter 14. Quantum algorithms for intelligent optimisation in battery manufacturing -- Chapter 15. Quantum computing and artificial intelligence in materials discovery for batteries -- Chapter 16. Quantum computing and machine learning for smart grid management -- Chapter 17. Quantum computing in the era of intelligent battery design -- Chapter 18. Quantum computing machine intelligence for optimal battery performance -- Chapter 19. Quantum-assisted artificial intelligence in chemical reaction prediction -- Chapter 20. Quantum-inspired machine learning for chemical reaction path prediction -- Chapter 21. Realizing sustainable energy quantum computing applications in power grids -- Chapter 22. Revolutionizing battery design through quantum computing and machine intelligence -- Chapter 23. Smart grids 2.0-: quantum computing and machine learning integration -- Chapter 24. Smarter power grids: quantum computing for enhanced energy distribution -- Chapter 25. Towards green chemistry quantum computing applications in chemical synthesis -- Chapter 26. Towards greener power grids quantum computing solutions for energy efficiency. Quantum computers. Quantum electronics. |
| title | Real-world challenges in quantum electronics and machine computing |
| title_auth | Real-world challenges in quantum electronics and machine computing |
| title_exact_search | Real-world challenges in quantum electronics and machine computing |
| title_full | Real-world challenges in quantum electronics and machine computing Christo Ananth, T. Ananth Kumar, editors. |
| title_fullStr | Real-world challenges in quantum electronics and machine computing Christo Ananth, T. Ananth Kumar, editors. |
| title_full_unstemmed | Real-world challenges in quantum electronics and machine computing Christo Ananth, T. Ananth Kumar, editors. |
| title_short | Real-world challenges in quantum electronics and machine computing |
| title_sort | real world challenges in quantum electronics and machine computing |
| topic | Quantum computers. Quantum electronics. |
| topic_facet | Quantum computers. Quantum electronics. Electronic books. |
| work_keys_str_mv | AT ananthchristo realworldchallengesinquantumelectronicsandmachinecomputing AT kumartananth realworldchallengesinquantumelectronicsandmachinecomputing AT igiglobal realworldchallengesinquantumelectronicsandmachinecomputing |