Electron Spin Resonance (ESR) Based Quantum Computing -

Electron Spin Resonance (ESR) Based Quantum Computing (eBook)

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2016 | 1st ed. 2016
VII, 255 Seiten
Springer New York (Verlag)
978-1-4939-3658-8 (ISBN)
Systemvoraussetzungen
96,29 inkl. MwSt
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This book addresses electron spin-qubit based quantum computing and quantum information processing with a strong focus on the background and applications to EPR/ESR technique and spectroscopy. It explores a broad spectrum of topics including quantum computing, information processing, quantum effects in electron-nuclear coupled molecular spin systems, adiabatic quantum computing, heat bath algorithmic cooling with spins, and gateway schemes of quantum control for spin networks to NMR quantum information. The organization of the book places emphasis on relevant molecular qubit spectroscopy. These revolutionary concepts have never before been included in a comprehensive volume that covers theory, physical basis, technological basis, applications, and new advances in this emerging field. Electron Spin Resonance (ESR) Based Quantum Computing, co-edited by leading and renowned researchers Takeji Takui, Graeme Hanson and Lawrence J Berliner, is an ideal resource for students and researchers in the fields of EPR/ESR, NMR and quantum computing. 

This book also 
•Explores methods of harnessing quantum effects in electron-nuclear coupled molecular                       spin systems 
•Expertly discusses applications of optimal control theory in quantum computing 
•Broadens the readers' understanding of NMR quantum information processing

This book addresses electron spin-qubit based quantum computing and quantum information processing with a strong focus on the background and applications to EPR/ESR technique and spectroscopy. It explores a broad spectrum of topics including quantum computing, information processing, quantum effects in electron-nuclear coupled molecular spin systems, adiabatic quantum computing, heat bath algorithmic cooling with spins, and gateway schemes of quantum control for spin networks to NMR quantum information. The organization of the book places emphasis on relevant molecular qubit spectroscopy. These revolutionary concepts have never before been included in a comprehensive volume that covers theory, physical basis, technological basis, applications, and new advances in this emerging field. Electron Spin Resonance (ESR) Based Quantum Computing, co-edited by leading and renowned researchers Takeji Takui, Graeme Hanson and Lawrence J Berliner, is an ideal resource for students and researchers in the fields of EPR/ESR, NMR and quantum computing.  This book also  * Explores methods of harnessing quantum effects in electron-nuclear coupled molecular                       spin systems  * Expertly discusses applications of optimal control theory in quantum computing  * Broadens the readers' understanding of NMR quantum information processing

.-1 Quantum Computing/Quantum Information Processing in view of Electron Magnetic Resonance Technique/Spectroscopy.-2 Exploiting Quantum Effects in Electron-Nuclear Coupled Molecular Spin Systems.-3 Molecular Spins in Biological Systems.-4 Adiabatic Quantum Computing on  Molecular Spin Quantum Computers.-5 Free-Time and Fixed End-Point Multi-Target Optimal Control Theory Applied to Quantum Computing.-6 Gateway Schemes of Quantum Control for Spin Networks.-7 NMR Quantum Information Processing.-8 Heat Bath Algorithmic Cooling with Spins: Review and Prospects       

Erscheint lt. Verlag 12.10.2016
Reihe/Serie Biological Magnetic Resonance
Biological Magnetic Resonance
Zusatzinfo VII, 255 p. 105 illus., 62 illus. in color.
Verlagsort New York
Sprache englisch
Themenwelt Mathematik / Informatik Informatik
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Naturwissenschaften Physik / Astronomie Quantenphysik
Technik
Schlagworte adiabatic quantum computing • Gateway Scheme • Magnetic Resonance • molecular spectroscopy • Molecular Spins • quantum entanglement
ISBN-10 1-4939-3658-1 / 1493936581
ISBN-13 978-1-4939-3658-8 / 9781493936588
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