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Open Quantum Systems Decoherence
Quantum Machine Learning
Controlled Alternate Quantum Walks based Quantum Hash Function
arXiv
Authors: Dan Li, Yu-Guang Yang, Jing-Lin Bi, Jia-Bin Yuan, Juan Xu
Year
2017
Paper ID
44440
Status
Preprint
Abstract Read
~2 min
Abstract Words
70
Citations
N/A
Abstract
Through introducing controlled alternative quantum walks, we present controlled alternate quantum walks (CAQW) based quantum hash function. CAQW based quantum hash function have excellent security, outstanding statistical performance and splendid expansibility. Furthermore, due to the structure of alternative quantum walks, implementing CAQW based quantum hash function significantly reduces the resources necessary for its feasible experimental realization than implementing other quantum hash functions. Besides, CAQW based quantum hash function has expansibility.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2017 reference point for readers tracking recent quantum research.
- Through introducing controlled alternative quantum walks, we present controlled alternate quantum walks (CAQW) based quantum hash function.
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