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A quantum computing-based approach to improve the efficiency of library information retrieval Cover

A quantum computing-based approach to improve the efficiency of library information retrieval

By:   
Open Access
|Jun 2026

Figures & Tables

Figure 1.

Simple Bayesian network

Figure 2.

The operation operators of quantum probabilistic graphical models

Figure 3.

Quantum Bayesian network

Figure 4.

Digital library information retrieval system based on artificial intelligence

Figure 5.

Comparison of retrieval efficiency among different methods

Figure 6.

Operational efficiency assessment

Figure 7.

The retrieval accuracy of the three retrieval systems

Figure 8.

The retrieval time and quantity of the three models

The number of documents when the query is for five terms

QueryNumber of documents
S1Actually usefulS4
1552.93
2760.18
3772.51
4652.62
5871.49
6530.48
7972.32
8650.16
9652.67
10771.75
11761.78
12981.96
13881.82
14762.33
15971.39

The number of documents and average similarity

QueryNumber of documentsAverage similarity
S1Actually usefulS4S1Actually usefulS4
132.58309.40.730.760.69
230.51250.120.740.750.69
329202.850.840.840.61
427.32278.310.750.760.64
512.8597.110.810.820.70
628.4525150.790.800.62
7282820.880.840.860.63
8333010.460.790.800.66
917.0615130.790.800.62
1044.134034.240.740.740.64
1128272.790.840.840.67
1226.13237.010.720.720.61
1332297.860.710.700.67
1427.93264.870.80.820.69
1524229.110.780.800.63
DOI: https://doi.org/10.2478/qic-2026-0014 | Journal eISSN: 3106-0544 | Journal ISSN: 1533-7146
Language: English
Page range: 263 - 276
Published on: Jun 30, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Jie Yang, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 26 (2026): Issue 2 (June 2026)