基于量子辐射场的大数据安全存储寻址算法

大数据存储过程面临着与日俱增的各种威胁,而传统数据存储算法难以有效应对这些新型威胁。以量子力学和量子遗传的关系为基础,构建量子辐射与量子遗传迭代的、双向可逆过程的数学函数和计算机程序,为流数据的大规模量子安全存储构建软件基础环境。在量子力学和量子遗传的映射关系下,将量子染色体的定义和交互作用通过量子比特和量子旋转门的计算实现,将量子染色体的交互通过量子引力作用和量子斥力作用的交互实现,将量子染色体动态过程的主要衡量指标通过引力和斥力的叠加态来计算产生。用量子引力和斥力来引导流数据的动态存储寻址、出入栈过程与路径,进而将大数据存储过程双向映射为量子辐射场和量子空间域问题,得到安全存储路径与存储地址。

Secure storage addressing algorithm for large data based on quantum radiation field

Big data storage processes are faced with increasing threats, and traditional data storage algorithms are difficult to effectively deal with these new threats. Beginning with the relationship between quantum mechanics and quantum genetic, based on that the reversible process of mathematical functions and a computer program are built as the software environment for large-scale quantum secure storage of data streams, they are constructed of iterative quantum radiation and quantum genetic. Then, under the mapping relationship between quantum mechanics and quantum inheritance, the definition and interaction of quantum chromosomes are realized through the calculation of quantum bits and quantum revolving gates. The interaction of quantum chromosome is achieved through the interaction of quantum attraction and quantum repulsion, and quantum is realized. The main measure of chromosomes dynamic processes is calculated by the superposition of gravitational and repulsive forces. Then use the quantum gravity and repulsion to guide the dynamic storage addressing of the stream date and the stacking process and path. Then the bi-level date storage process is bi-directionally mapped to the quantum radiation field and quantum space domain problems, and the secure storage path and storage address are obtained.