A Quantum String‐Matching Algorithm
A novel quantum algorithm for string‐matching is introduced that significantly enhances the complexity of this fundamental operation, essential in numerous computing applications. The algorithm is designed as a composite quantum denoising procedure applied to a quantum‐generated dot‐matrix plot, whi...
Gespeichert in:
| Veröffentlicht in: | Advanced quantum technologies (Online) Jg. 8; H. 3 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
01.03.2025
|
| Schlagworte: | |
| ISSN: | 2511-9044, 2511-9044 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Zusammenfassung: | A novel quantum algorithm for string‐matching is introduced that significantly enhances the complexity of this fundamental operation, essential in numerous computing applications. The algorithm is designed as a composite quantum denoising procedure applied to a quantum‐generated dot‐matrix plot, which is treated as an image. This approach effectively identifies regions of similarity between two input strings of lengths N and M. For strings of equal length, the algorithm achieves a time complexity of O(N+log(N)+6N2)$O( {N + log( N ) + 6{{N}^2}} )$ and a space complexity of O(log(2N))$O( {log( {2N} )} )$, demonstrating a clear advantage in quantum computational efficiency.
A string‐matching quantum algorithm is introduced, offering significant improvements in computational complexity. The algorithm employs a quantum image denoising method applied to a quantum‐generated dot‐matrix plot view, to identify regions of similarity between two input strings of lengths N and M. For strings of equal length, the algorithm achieves an improved time complexity of O(N+log(N)+6N2)$O( {N + log( N ) + 6{{N}^2}} )$ and space complexity of O(log(2N))$O( {log( {2N} )} )$. |
|---|---|
| Bibliographie: | The publication of the article in OA mode was financially supported by HEAL‐Link. |
| ISSN: | 2511-9044 2511-9044 |
| DOI: | 10.1002/qute.202400250 |