Published September 2018 | Version v1
Journal article

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

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
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