Quantum State Inference Via Permutations In Hidden Markov Models

Description

This Python software package provides functionality for inference of the initial state of a Hidden Markov Model (HMM), when we have access to permutations of the underlying states. We provide both analytical calculations to compute the probability of correct inference, and functionality for Monte Carlo computations. Further details are provided in arxiv:xxxx.xxxxxx.

Resources

Name Format Description Link
0 Github repository of Python code for quantum state inference via permutations in Hidden Markov Models https://github.com/usnistgov/perm_hmm

Tags

  • hidden-markov-model
  • quantum-information-theory
  • quantum-measurement
  • trapped-ion

Topics

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