Quantum State Identification of Qutrits via a Nonlinear Protocol
- 1. Institute for Solid State Physics and Optics, Wigner Research Centre for Physics, Hungarian Academy of Sciences (Hungary)
- 2. Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering (Czech Republic)
Description
We propose a probabilistic quantum protocol to realize a nonlinear transformation of qutrit states, which by iterative applications on ensembles can be used to distinguish two types of pure states. The protocol involves single-qutrit and two-qutrit unitary operations as well as post-selection according to the results obtained in intermediate measurements. We utilize the nonlinear transformation in an algorithm to identify a quantum state provided it belongs to an arbitrary known finite set. The algorithm is based on dividing the known set of states into two appropriately designed subsets, which can be distinguished by the nonlinear protocol. In most cases, this is accompanied by the application of some properly defined physical (unitary) operation on the unknown state. Then, applying the nonlinear protocol, one can decide which of the two subsets the unknown state belongs to, thus reducing the number of possible candidates. By iteratively continuing this procedure until a single possible candidate remains, one can identify the unknown state.
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Russian Laser Research
- Journal Volume
- 39
- Journal Issue
- 5
- Journal Page Range
- p. 456-464
- ISSN
- 1071-2836
- CODEN
- JRLREO
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54104343
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ALGORITHMS; DESIGN; ITERATIVE METHODS; NONLINEAR PROBLEMS; OPERATION; PROBABILISTIC ESTIMATION; PURE STATES; TRANSFORMATIONS
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICAL LOGIC; QUANTUM STATES
Optional Information
- Copyright
- Copyright (c) 2018 Springer Science+Business Media, LLC, part of Springer Nature
- Notes
- http://www.springer-ny.com