Entanglement in Spin Chains: From Theory to Quantum Technology Applications (1st ed. 2022) (Quantum Science and Technology)
By: and and
Sign Up Now!
Already a Member? Log In
You must be logged into Bookshare to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- This book covers recent developments in the understanding, quantification, and exploitation of entanglement in spin chain models from both condensed matter and quantum information perspectives. Spin chain models are at the foundation of condensed matter physics and quantum information technologies and elucidate many fundamental phenomena such as information scrambling, quantum phase transitions, and many-body localization. Moreover, many quantum materials and emerging quantum devices are well described by spin chains. Comprising accessible, self-contained chapters written by leading researchers, this book is essential reading for graduate students and researchers in quantum materials and quantum information. The coverage is comprehensive, from the fundamental entanglement aspects of quantum criticality, non-equilibrium dynamics, classical and quantum simulation of spin chains through to their experimental realizations, and beyond into machine learning applications.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031039980
- Related ISBNs:
- 9783031039973
- Publisher:
- Springer International Publishing
- Date of Addition:
- 09/26/22
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Computers and Internet, Earth Sciences, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Abolfazl Bayat
- Edited by:
- Sougato Bose
- Edited by:
- Henrik Johannesson
Reviews
Other Books
- by Abolfazl Bayat
- by Sougato Bose
- by Henrik Johannesson
- in Nonfiction
- in Science
- in Computers and Internet
- in Earth Sciences
- in Mathematics and Statistics