Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Lecture notes in networks and systems

Quantum Circuits for Fixed Matching Substring Problems

Domenico Aldo Cantone, Simone Faro, Arianna Pavone, Caterina Viola

Published Jan 1, 2024• 3 citations
Publisher
DOI
10.1007/978-3-031-62269-4_43

Related papers

A method to generate quantum circuits for 2D pattern matching problem

Shi Cheng

Journal of Computational Methods in Sciences and Engineering•Apr 24, 2026•0 citations

Quantum Algorithms for Longest Common Substring with a Gap

Daniel Gibney, Md Helal Hossen

Lecture notes in computer science•Sep 18, 2024•0 citations

Reconstructing Strings from Substrings with Quantum Queries

Cleve Richard, Kazuo Iwama, Le Francois +4 more

IEICE Technical Report; IEICE Tech. Rep.•Apr 20, 2012•0 citations

Reconstructing Strings from Substrings with Quantum Queries

Richard Cleve, Kazuo Iwama, François Le Gall +4 more

arXiv:1204.4691•Lecture notes in computer science•Jan 1, 2012•13 citations

Quantum Circuits for Fixed Substring Matching Problems

Domenico Aldo Cantone, Simone Faro, Arianna Pavone +1 more

Quantum computation represents a computational paradigm whose distinctive attributes confer the ability to devise algorithms with asymptotic performance levels significantly superior to those achievable via classical computation. Recent strides have been taken to apply this computational framework in tackling and resolving various issues related to text processing. The resultant solutions demonstrate marked advantages over their classical counterparts. This study employs quantum computation to efficaciously surmount text processing challenges, particularly those involving string comparison. The focus is on the alignment of fixed-length substrings within two input strings. Specifically, given two input strings, $x$ and $y$, both of length $n$, and a value $d \leq n$, we want to verify the following conditions: the existence of a common prefix of length $d$, the presence of a common substring of length $d$ beginning at position $j$ (with $0 \leq j < n$) and, the presence of any common substring of length $d$ beginning in both strings at the same position. Such problems find applications as sub-procedures in a variety of problems concerning text processing and sequence analysis. Notably, our approach furnishes polylogarithmic solutions, a stark contrast to the linear complexity inherent in the best classical alternatives.

arXiv:2308.11758•Aug 22, 2023•0 citations

Practical Quantum Combinatorial String Matching

Domenico Aldo Cantone, Claudio Caudullo, Simone Faro +3 more

Lecture notes in networks and systems•Jan 1, 2024•2 citations
Quantum computation represents a computational paradigm whose distinctive attributes confer the ability to devise algorithms with asymptotic performance levels significantly superior to those achievable via classical computation. Recent strides have been taken to apply this computational framework in tackling and resolving various issues related to text processing. The resultant solutions demonstrate marked advantages over their classical counterparts. This study employs quantum computation to efficaciously surmount text processing challenges, particularly those involving string comparison. The focus is on the alignment of fixed-length substrings within two input strings. Specifically, given two input strings, xxx and yyy, both of length nnn, and a value d≤nd \leq nd≤n, we want to verify the following conditions: the existence of a common prefix of length ddd, the presence of a common substring of length ddd beginning at position jjj (with 0≤j<n0 \leq j < n0≤j<n) and, the presence of any common substring of length ddd beginning in both strings at the same position. Such problems find applications as sub-procedures in a variety of problems concerning text processing and sequence analysis. Notably, our approach furnishes polylogarithmic solutions, a stark contrast to the linear complexity inherent in the best classical alternatives.