Quantum model averaging
Standard tomographic analyses ignore model uncertainty. It is assumed that a given model generated the data and the task is to estimate the quantum state, or a subset of parameters within that model. Here we apply a model averaging technique to mitigate the risk of overconfident estimates of model p...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2014-01-01
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| Series: | New Journal of Physics |
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| Online Access: | https://doi.org/10.1088/1367-2630/16/9/093035 |
| _version_ | 1797751132582313984 |
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| author | Christopher Ferrie |
| author_facet | Christopher Ferrie |
| author_sort | Christopher Ferrie |
| collection | DOAJ |
| description | Standard tomographic analyses ignore model uncertainty. It is assumed that a given model generated the data and the task is to estimate the quantum state, or a subset of parameters within that model. Here we apply a model averaging technique to mitigate the risk of overconfident estimates of model parameters in two examples: (1) selecting the rank of the state in tomography and (2) selecting the model for the fidelity decay curve in randomized benchmarking. |
| first_indexed | 2024-03-12T16:44:01Z |
| format | Article |
| id | doaj.art-e377fc1f9d7a4ba397ae8f1d9d60307d |
| institution | Directory Open Access Journal |
| issn | 1367-2630 |
| language | English |
| last_indexed | 2024-03-12T16:44:01Z |
| publishDate | 2014-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | New Journal of Physics |
| spelling | doaj.art-e377fc1f9d7a4ba397ae8f1d9d60307d2023-08-08T14:22:01ZengIOP PublishingNew Journal of Physics1367-26302014-01-0116909303510.1088/1367-2630/16/9/093035Quantum model averagingChristopher Ferrie0Center for Quantum Information and Control, University of New Mexico , Albuquerque, New Mexico 87131-0001, USAStandard tomographic analyses ignore model uncertainty. It is assumed that a given model generated the data and the task is to estimate the quantum state, or a subset of parameters within that model. Here we apply a model averaging technique to mitigate the risk of overconfident estimates of model parameters in two examples: (1) selecting the rank of the state in tomography and (2) selecting the model for the fidelity decay curve in randomized benchmarking.https://doi.org/10.1088/1367-2630/16/9/093035quantum tomographyrandomized benchmarkingmodel selectionBayesianquantum informationsequential Monte Carlo |
| spellingShingle | Christopher Ferrie Quantum model averaging New Journal of Physics quantum tomography randomized benchmarking model selection Bayesian quantum information sequential Monte Carlo |
| title | Quantum model averaging |
| title_full | Quantum model averaging |
| title_fullStr | Quantum model averaging |
| title_full_unstemmed | Quantum model averaging |
| title_short | Quantum model averaging |
| title_sort | quantum model averaging |
| topic | quantum tomography randomized benchmarking model selection Bayesian quantum information sequential Monte Carlo |
| url | https://doi.org/10.1088/1367-2630/16/9/093035 |
| work_keys_str_mv | AT christopherferrie quantummodelaveraging |