Paper
26 June 2023 Quantum hash function of continuous-time quantum walk based on cycle under broken-line decoherent noise
Wei-Min Shi, Pan Tian, Yi-Hua Zhou, Yu-Guang Yang
Author Affiliations +
Proceedings Volume 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023); 127141U (2023) https://doi.org/10.1117/12.2683418
Event: Third International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 2023, Sanya, China
Abstract
The existing hash functions based on quantum walk construction are all proposed under the ideal closed environment. In order to better conform to the actual situation and improve the relevant performance of Hash functions, we propose a quantum hash function constructed by continuous quantum walk on the basis of broken-line noise model. We first propose a continuous-time quantum walk model on cycle under the influence of broken-line decoherence, after that apply this model to the construction process of the quantum hash function and put forward a building method of the hash function on the basis of the broken-line decoherent continuous-time quantum walk on the one-dimensional cycle. The safety analysis and numerical simulation indicate that our hash function has greater anti-collision performance than the existing hash function based on the quantum walk.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei-Min Shi, Pan Tian, Yi-Hua Zhou, and Yu-Guang Yang "Quantum hash function of continuous-time quantum walk based on cycle under broken-line decoherent noise", Proc. SPIE 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 127141U (26 June 2023); https://doi.org/10.1117/12.2683418
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KEYWORDS
Quantum walks

Quantum modeling

Binary data

Quantum noise

Quantum numbers

Diffusion

Quantum computing

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