Abstract
In this note we present a simplified analysis of the quantum and classical complexity of the k-XOR Forrelation problem (introduced in the paper of Girish, Raz and Zhan [Uma Girish et al., 2020]) by a stochastic interpretation of the Forrelation distribution.
BibTeX - Entry
@InProceedings{wu:LIPIcs.STACS.2022.60,
author = {Wu, Xinyu},
title = {{Analyzing XOR-Forrelation Through Stochastic Calculus}},
booktitle = {39th International Symposium on Theoretical Aspects of Computer Science (STACS 2022)},
pages = {60:1--60:7},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-222-8},
ISSN = {1868-8969},
year = {2022},
volume = {219},
editor = {Berenbrink, Petra and Monmege, Benjamin},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2022/15870},
URN = {urn:nbn:de:0030-drops-158705},
doi = {10.4230/LIPIcs.STACS.2022.60},
annote = {Keywords: quantum complexity, Brownian motion}
}
Keywords: |
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quantum complexity, Brownian motion |
Collection: |
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39th International Symposium on Theoretical Aspects of Computer Science (STACS 2022) |
Issue Date: |
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2022 |
Date of publication: |
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09.03.2022 |