A (t, n) threshold quantum image secret sharing scheme

被引:3
作者
Wang, Hua-Kun [1 ]
Xu, Guang-Bao [2 ]
Liang, Xiang-Qian [1 ]
Jiang, Dong-Huan [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Shandong, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Shandong, Peoples R China
关键词
Quantum image secret sharing; Combination theory; Quantum matrices multiplier; Quantum boolean OR gate; Quantum boolean AND gate; REPRESENTATION;
D O I
10.1007/s11042-024-18661-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a (t, n)threshold quantum image secret sharing scheme based on combination theory is proposed. Here, the threshold t is a constant number that should satisfy the condition t <= n. In sharing process, the secret image is divided into n shadow images according to n sample matrices constructed by the combination theory and sent to n participants individually. During the recovery process, the original secret image can be fully restored if q(q >= t) participants are chosen. However, if the number of chosen participants is less than t, no information about the original secret image can be obtained. The quantum matrix multiplier is first introduced for encryption of the secret images. Then the quantum boolean AND gate is chosen for producing sample matrices. In the recovering steps, we use quantum boolean OR gates to collect shadow images. After that, the quantum circuits of the proposed scheme are given and the complexity of the circuits is discussed. We then conduct numerical simulations of our scheme on grayscale images and RGB images. The results shows that our scheme has a good effect on threshold quantum image secret sharing.
引用
收藏
页码:79715 / 79739
页数:25
相关论文
共 25 条
[1]   ELEMENTARY GATES FOR QUANTUM COMPUTATION [J].
BARENCO, A ;
BENNETT, CH ;
CLEVE, R ;
DIVINCENZO, DP ;
MARGOLUS, N ;
SHOR, P ;
SLEATOR, T ;
SMOLIN, JA ;
WEINFURTER, H .
PHYSICAL REVIEW A, 1995, 52 (05) :3457-3467
[2]   Quantum cryptography: Public key distribution and coin tossing [J].
Bennett, Charles H. ;
Brassard, Gilles .
THEORETICAL COMPUTER SCIENCE, 2014, 560 :7-11
[3]  
Blakley GR, 1979, P MARK, P313
[4]  
Chih-Ching Thien, 2002, Computers & Graphics, V26, P765, DOI 10.1016/S0097-8493(02)00131-0
[5]   Passive quantum error correction with linear optics [J].
de Brito, DB ;
Ramos, RV .
PHYSICS LETTERS A, 2006, 352 (03) :206-209
[6]   SIMULATING PHYSICS WITH COMPUTERS [J].
FEYNMAN, RP .
INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, 1982, 21 (6-7) :467-488
[7]  
Grover L. K., 2019, P 28 ANN ACM S THEOR, P212, DOI [10.1145/237814.237866, DOI 10.1145/237814.237866]
[8]  
Latorre JI, 2005, Arxiv, DOI arXiv:quant-ph/0510031
[9]   Quantum image scaling up based on nearest-neighbor interpolation with integer scaling ratio [J].
Jiang, Nan ;
Wang, Jian ;
Mu, Yue .
QUANTUM INFORMATION PROCESSING, 2015, 14 (11) :4001-4026
[10]   Analysis and improvement of the quantum Arnold image scrambling [J].
Jiang, Nan ;
Wang, Luo .
QUANTUM INFORMATION PROCESSING, 2014, 13 (07) :1545-1551