Journal article 651 views 130 downloads
Adaptive Bayesian phase estimation for quantum error correcting codes
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Markus Muller
New Journal of Physics, Volume: 21, Issue: 12, Start page: 123027
Swansea University Authors:
Fernando Martinez Garcia, Davide Vodola , Markus Muller
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DOI (Published version): 10.1088/1367-2630/ab5c51
Abstract
Realisation of experiments even on small and medium-scale quantum computers requires an optimisation of several parameters to achieve high-fidelity operations. As the size of the quantum register increases, the characterisation of quantum states becomes more difficult since the number of parameters...
| Published in: | New Journal of Physics |
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| ISSN: | 1367-2630 |
| Published: |
IOP Publishing
2019
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa52967 |
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| Abstract: |
Realisation of experiments even on small and medium-scale quantum computers requires an optimisation of several parameters to achieve high-fidelity operations. As the size of the quantum register increases, the characterisation of quantum states becomes more difficult since the number of parameters to be measured grows as well and finding efficient observables in order to estimate the parameters of the model becomes a crucial task. Here we propose a method relying on application of Bayesian inference that can be used to determine systematic, unknown phase shifts of multi-qubit states. This method offers important advantages as compared to Ramsey-type protocols. First, application of Bayesian inference allows the selection of an adaptive basis for the measurements which yields the optimal amount of information about the phase shifts of the state. Secondly, this method can process the outcomes of different observables at the same time. This leads to a substantial decrease in the resources needed for the estimation of phases, speeding up the state characterisation and optimisation in experimental implementations. The proposed Bayesian inference method can be applied in various physical platforms that are currently used as quantum processors. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
12 |
| Start Page: |
123027 |