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Group Covariance and Optimal Information Processing

  • Masahito HayashiEmail author
Chapter

Abstract

In quantum information processing, we need to decrease the amount of error as much as possible. To achieve this requirement, we mathematically formulate the error as a function, and seek the information processing to minimize (optimize) it. This chapter gives optimal scheme including optimal measurement under several setting with the group covariance. This approach can be applied to so many topics in quantum information, the quantum state estimation, the estimation of unknown unitary action, and the approximate quantum state cloning. The problem to optimize the estimation procedure cannot be exactly solved with the finite resource setting, in general, however, it can be exactly solved only when the problem has group symmetric property. Hence, we can say that group symmetric property is essential for state estimation. This idea can be applied to the estimation of unknown unitary action. This problem is much more deeply related to group representation because this problem can be investigated by using Fourier transform in the sense of group representation theory. Further, we deal with the approximate quantum state cloning in a similar way because we can say the same thing for approximate quantum state cloning. That is, all of solved examples of approximate quantum state cloning are based on the group symmetry.

Keywords

Irreducible Representation Invariant Measure Coherent State Representation Space Quantum Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Graduate School of MathematicsNagoya UniversityNagoyaJapan

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