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Quantum hidden Markov models based on transition operation matrices

Published: 01 April 2017 Publication History

Abstract

In this work, we extend the idea of quantum Markov chains (Gudder in J Math Phys 49(7):072105 [3]) in order to propose quantum hidden Markov models (QHMMs). For that, we use the notions of transition operation matrices and vector states, which are an extension of classical stochastic matrices and probability distributions. Our main result is the Mealy QHMM formulation and proofs of algorithms needed for application of this model: Forward for general case and Vitterbi for a restricted class of QHMMs. We show the relations of the proposed model to other quantum HMM propositions and present an example of application.

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  1. Quantum hidden Markov models based on transition operation matrices

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      Published In

      cover image Quantum Information Processing
      Quantum Information Processing  Volume 16, Issue 4
      April 2017
      428 pages

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      Kluwer Academic Publishers

      United States

      Publication History

      Published: 01 April 2017

      Author Tags

      1. Hidden Markov models
      2. Open quantum walks
      3. Transition operation matrices

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