2022
DOI: 10.1103/prxquantum.3.020350
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Experimental Bayesian Calibration of Trapped-Ion Entangling Operations

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Cited by 12 publications
(4 citation statements)
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References 75 publications
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“…Even after analyzing every existing trade off and finding the optimally efficient protocol, the characterization-experiment time for longer ion chains can still take a significant portion of a typical trapped-ion system's operation cycle. To save the experiment time as much as possible, clever calibration techniques, such as using Bayesian inference [20], can be combined with this work.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Even after analyzing every existing trade off and finding the optimally efficient protocol, the characterization-experiment time for longer ion chains can still take a significant portion of a typical trapped-ion system's operation cycle. To save the experiment time as much as possible, clever calibration techniques, such as using Bayesian inference [20], can be combined with this work.…”
Section: Discussionmentioning
confidence: 99%
“…Our choice is motivated by the fact that these parameters play a crucial role in both the design and execution of entangling gate operations [13][14][15][16][17][18], one of the most apparent limiting factors for larger-scale trapped-ion quantum computing from both the fidelity and speed aspects. An efficient and accurate mode-parameter characterization can provide significant benefits, such as removing unnecessary overhead in gate calibrations that arise from incorrect parameter estimates [19,20], enabling judicious use of hardware resources that can then be traded off for faster or more robust entangling gates [21], and opening the door to a different paradigm of quantum computer maintenance by frequent, low-cost updates to inevitably drifting parameters (see figure 1).…”
Section: Introductionmentioning
confidence: 99%
“…We here define a calibration as the determination of a parameter by fitting the results of an experiment. We note that more complex calibration techniques exist based on Bayesian estimation [61] or machine learning [62]. Nevertheless, we restrict ourselves to a simpler class of calibrations for the sake of comparing quantum control schemes.…”
Section: Calibration Requirementsmentioning
confidence: 99%
“…An accurate characterization of mode parameters can provide several additional benefits as well. First, the overhead in gate calibrations caused by incorrect parameter estimates [8,9] can be reduced. Second, gate pulses can be more efficient in terms of control-signal power, gate duration, and robustness than pulses designed with inaccurate motional-mode parameters [5,6].…”
Section: Introductionmentioning
confidence: 99%