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Quantum Machine Learning
Quantum Pattern Recognition of Classical Signal
arXiv
Authors: Chao-Yang Pang, Cong-Bao Ding, Ben-Qiong Hu
Year
2007
Paper ID
49745
Status
Preprint
Abstract Read
~2 min
Abstract Words
54
Citations
N/A
Abstract
It's the key research topic of signal processing that recognizing genuine targets real time from the disturbed signal which has giant amount of data. A quantum algorithm for pattern recognition of classical signal which has time complexity O(sqrt(N)) is presented in this paper. Key Words: Pattern recognition, Grover's algorithm, Rotation on subspace
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2007 reference point for readers tracking recent quantum research.
- It's the key research topic of signal processing that recognizing genuine targets real time from the disturbed signal which has giant amount of data.
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