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Autores principales: Chen, Yanlin, Chen, Yilei, Kumar, Rajendra, Patro, Subhasree, Speelman, Florian
Formato: Preprint
Publicado: 2023
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Acceso en línea:https://arxiv.org/abs/2309.16431
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author Chen, Yanlin
Chen, Yilei
Kumar, Rajendra
Patro, Subhasree
Speelman, Florian
author_facet Chen, Yanlin
Chen, Yilei
Kumar, Rajendra
Patro, Subhasree
Speelman, Florian
contents While seemingly undesirable, it is not a surprising fact that there are certain problems for which quantum computers offer no computational advantage over their respective classical counterparts. Moreover, there are problems for which there is no `useful' computational advantage possible with the current quantum hardware. This situation however can be beneficial if we don't want quantum computers to solve certain problems fast - say problems relevant to post-quantum cryptography. In such a situation, we would like to have evidence that it is difficult to solve those problems on quantum computers; but what is their exact complexity? To do so one has to prove lower bounds, but proving unconditional time lower bounds has never been easy. As a result, resorting to conditional lower bounds has been quite popular in the classical community and is gaining momentum in the quantum community. In this paper, by the use of the QSETH framework [Buhrman-Patro-Speelman 2021], we are able to understand the quantum complexity of a few natural variants of CNFSAT, such as parity-CNFSAT or counting-CNFSAT, and also are able to comment on the non-trivial complexity of approximate-#CNFSAT; both of these have interesting implications about the complexity of (variations of) lattice problems, strong simulation and hitting set problem, and more. In the process, we explore the QSETH framework in greater detail than was (required and) discussed in the original paper, thus also serving as a useful guide on how to effectively use the QSETH framework.
format Preprint
id arxiv_https___arxiv_org_abs_2309_16431
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle QSETH strikes again: finer quantum lower bounds for lattice problem, strong simulation, hitting set problem, and more
Chen, Yanlin
Chen, Yilei
Kumar, Rajendra
Patro, Subhasree
Speelman, Florian
Quantum Physics
Computational Complexity
F.2.0
While seemingly undesirable, it is not a surprising fact that there are certain problems for which quantum computers offer no computational advantage over their respective classical counterparts. Moreover, there are problems for which there is no `useful' computational advantage possible with the current quantum hardware. This situation however can be beneficial if we don't want quantum computers to solve certain problems fast - say problems relevant to post-quantum cryptography. In such a situation, we would like to have evidence that it is difficult to solve those problems on quantum computers; but what is their exact complexity? To do so one has to prove lower bounds, but proving unconditional time lower bounds has never been easy. As a result, resorting to conditional lower bounds has been quite popular in the classical community and is gaining momentum in the quantum community. In this paper, by the use of the QSETH framework [Buhrman-Patro-Speelman 2021], we are able to understand the quantum complexity of a few natural variants of CNFSAT, such as parity-CNFSAT or counting-CNFSAT, and also are able to comment on the non-trivial complexity of approximate-#CNFSAT; both of these have interesting implications about the complexity of (variations of) lattice problems, strong simulation and hitting set problem, and more. In the process, we explore the QSETH framework in greater detail than was (required and) discussed in the original paper, thus also serving as a useful guide on how to effectively use the QSETH framework.
title QSETH strikes again: finer quantum lower bounds for lattice problem, strong simulation, hitting set problem, and more
topic Quantum Physics
Computational Complexity
F.2.0
url https://arxiv.org/abs/2309.16431