Published January 20, 2020
| Version v1
Journal article
Parameter estimation with Dzyaloshinskii–Moriya interaction under external magnetic fields
Creators
- 1. Isik University. Department of Information Technologies (Turkey)
- 2. Tokyo International University. Institute for International Strategy (Japan)
- 3. Istanbul Okan University. Department of Electrical Engineering (Turkey)
Description
We study the effects of external magnetic fields on the precision of parameter estimation with thermal entanglement of two spins in XX model, in the presence of Dzyaloshinskii–Moriya (DM) interaction. Although DM interaction excites but external magnetic fields usually decrease quantum mechanical properties of spin systems such as entanglement, we show by calculating the quantum Fisher information that not only DM interaction D but also homogeneous magnetic field B can increase the precision of parameter estimation, overwhelming the destructive effects of thermalization. We also show that inhomogeneous magnetic field b increases (decreases) the precision of parameter estimation if it is less (greater) than D.
Additional details
Identifiers
Publishing Information
- Journal Title
- Optical and Quantum Electronics
- Journal Volume
- 52
- Journal Issue
- 2
- Journal Page Range
- vp.
- ISSN
- 0306-8919
- CODEN
- OQELDI
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55104662
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ACCURACY; COUPLINGS; INFORMATION THEORY; INTERACTIONS; MAGNETIC FIELDS; MAGNETIC MATERIALS; MECHANICAL PROPERTIES; MIXED STATE; MIXED STATES; QUANTUM ENTANGLEMENT; QUANTUM INFORMATION; QUANTUM MECHANICS; SPIN; SPIN ORIENTATION; THERMALIZATION
- Descriptors DEC
- ANGULAR MOMENTUM; INFORMATION; MATERIALS; MECHANICS; ORIENTATION; PARTICLE PROPERTIES; QUANTUM STATES; SLOWING-DOWN
Optional Information
- Copyright
- Copyright (c) 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020