Data provided by National Institute of Standards and Technology
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.
About this Dataset
Updated: 2024-02-22
Metadata Last Updated:
2022-03-08 00:00:00
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quantum information theory
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| Title | 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. |
| Modified | 2022-03-08 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | quantum information theory , hidden markov model , quantum measurement , trapped ion |
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"title": "Quantum State Inference Via Permutations In Hidden Markov Models",
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"theme": [
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"Physics:Atomic, molecular, and quantum",
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"issued": "2022-03-21",
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