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- W4288337908 abstract "We introduce an approach to improve the accuracy and reduce the sample complexity of near term quantum-classical algorithms. We construct a simpler initial parameterized quantum state, or ansatz, based on the past causal cone of each observable, generally yielding fewer qubits and gates. We implement this protocol on a trapped ion quantum computer and demonstrate improvement in accuracy and time-to-solution at an arbitrary point in the variational search space. We report a $sim 27%$ improvement in the accuracy of the calculation of the deuteron binding energy and $sim 40%$ improvement in the accuracy of the quantum approximate optimization of the MAXCUT problem applied to the dragon graph $T_{3,2}$. When the time-to-solution is prioritized over accuracy, the former requires $sim 71%$ fewer measurements and the latter requires $sim 78%$ fewer measurements." @default.
- W4288337908 created "2022-07-29" @default.
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- W4288337908 date "2019-06-02" @default.
- W4288337908 modified "2023-09-26" @default.
- W4288337908 title "Noise reduction using past causal cones in variational quantum algorithms" @default.
- W4288337908 doi "https://doi.org/10.48550/arxiv.1906.00476" @default.
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