Database data conversion method based on quantum computing

Abstract

The invention relates to the field of database conversion, in particular to a database data conversion method based on quantum computing. A quantum cloud platform manager comprises a memory, a processor, a security module, an identification module and a decoding module, the memory is used for storing data, when the number of databases is large, part of the data can be stored firstly, next identification and decoding are carried out after identification and decoding are completed, and the risk of omission is reduced; meanwhile, the security module comprises a detection unit and a processing unit, the detection unit is used for detecting data, and when dangerous data or data with viruses are detected, the processing unit processes the dangerous data or the data with the viruses, so that thedangerous data or the data with the viruses are prevented from entering a database conversion tool. When the converted data is analyzed, a target database architecture is reshaped, a standard data file is generated, data output is carried out, and after data output fails, the data is returned to the database conversion tool until data output succeeds, so that the phenomenon of output failure is avoided.

Description

technical field [0001] The invention relates to the field of database conversion, in particular to a database data conversion method based on quantum computing. Background technique [0002] Quantum computing is a new type of computing mode that follows the laws of quantum mechanics to regulate quantum information units for computing. In contrast to the traditional general-purpose computer, its theoretical model is a general-purpose Turing machine; for a general-purpose quantum computer, its theoretical model is a general-purpose Turing machine reinterpreted by the laws of quantum mechanics. From the perspective of computable problems, quantum computers can only solve problems that traditional computers can solve, but in terms of computational efficiency, due to the existence of quantum mechanical superposition, some known quantum algorithms are faster in processing problems than conventional general-purpose computers. [0003] The database data conversion based on quantum...

AI Technical Summary

Problems solved by technology

[0004] 1. The data is not tested, and there is a risk of outputting dangerous data or data with viruses when the data is output;

[0005] 2. During data output, after the data output fails, the data is not returned to the database conversion tool until the data output is successful, and there is a risk of data output failure;

[0006] 3. After the processor reads the target database data, it has no function of storing data. When the amount of data is large, it is easy to miss the phenomenon, resulting in the failure of conversion and output

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