Analog nature of quantum adiabatic unstructured search. Slutskii, M., Albash, T., Barash, L., & Hen, I. New Journal of Physics, 21(11):113025, IOP Publishing, nov, 2019. ![Analog nature of quantum adiabatic unstructured search [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex The quantum adiabatic unstructured search algorithm is one of only a handful of quantum adiabatic optimization algorithms to exhibit provable speedups over their classical counterparts. With no fault tolerance theorems to guarantee the resilience of such algorithms against errors, understanding the impact of imperfections on their performance is of both scientific and practical significance. We study the robustness of the algorithm against various types of imperfections: limited control over the interpolating schedule, Hamiltonian misspecification, and interactions with a thermal environment. We find that the unstructured search algorithm’s quadratic speedup is generally not robust to the presence of any one of the above non-idealities, and in some cases we find that it imposes unrealistic conditions on how the strength of these noise sources must scale to maintain the quadratic speedup.
@article{Slutskii_2019,
doi = {10.1088/1367-2630/ab51f9},
url = {https://doi.org/10.1088%2F1367-2630%2Fab51f9},
year = 2019,
month = {nov},
publisher = {{IOP} Publishing},
volume = {21},
number = {11},
pages = {113025},
author = {Mikhail Slutskii and Tameem Albash and Lev Barash and Itay Hen},
title = {Analog nature of quantum adiabatic unstructured search},
journal = {New Journal of Physics},
abstract = {The quantum adiabatic unstructured search algorithm is one of only a handful of quantum adiabatic optimization algorithms to exhibit provable speedups over their classical counterparts. With no fault tolerance theorems to guarantee the resilience of such algorithms against errors, understanding the impact of imperfections on their performance is of both scientific and practical significance. We study the robustness of the algorithm against various types of imperfections: limited control over the interpolating schedule, Hamiltonian misspecification, and interactions with a thermal environment. We find that the unstructured search algorithm’s quadratic speedup is generally not robust to the presence of any one of the above non-idealities, and in some cases we find that it imposes unrealistic conditions on how the strength of these noise sources must scale to maintain the quadratic speedup.}
}
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