Data search method and system based on table function and computer storage medium

Abstract

The invention relates to a data search method and system based on table function and a computer storage medium. The data search method based on table function comprises the following steps: classifying external information based on a preset rule; performing feature expression on the external information according to a classification result; preprocessing a result of the feature expression; generating a target mapping relation table of the search resources based on the preprocessing result; and outputting a result of the search problem through the target mapping relation table. On the basis of guaranteeing the search accuracy, the purposes of improving the search efficiency, enabling the search result to be fed back in real time and meeting the actual operation requirement are achieved.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a data search method, system and computer storage medium based on table functions. Background technique [0002] Quantum computing is a new field of intersection of computer science, mathematics and physics. It is a new computing model that follows the laws of quantum mechanics to control quantum information units for computing. As a new computing model, from the perspective of computing efficiency, due to quantum mechanics. The existence of superposition, the superposition of quantum is a very important feature of quantum computing. Taking n input qubits as an example, quantum computing can calculate 2n data at a time, and each calculation result is given by a certain probability amplitude, Due to the special properties of quantum in the process of information processing, quantum computing is much faster than classical computing in terms of information processing,...

AI Technical Summary

Problems solved by technology

[0004] Although the Grover algorithm can measure the state of the solution to the search problem with a high probability, it uses more G quantum circuits, which makes the quantum circuits of the whole algorithm more complex than the classical algorithm and increases the computational complexity. It causes the interaction delay of the entire calculation, which reduces the efficiency of the search. Furthermore, the search method based on the intelligent optimization algorithm is often iteratively complex, and the planning and allocation of the entire calculation task are slow and error-prone during the allocation process, which cannot cope with more and more complex tasks. problem search, which cannot meet the actual complex quantum computing needs

Images