As one of essential multimedia in quantum networks, the copyright protection of quantum audio has gradually be- come an important issue in the domain of quantum information hiding in the decades. In this paper, an imp...As one of essential multimedia in quantum networks, the copyright protection of quantum audio has gradually be- come an important issue in the domain of quantum information hiding in the decades. In this paper, an improved quantum watermarking algorithm based on quantum audio by using least significant qubit （LSQb） modification is proposed. Com- pared with the previous achievements, it can effectively improve the robustness and security of watermark for copyright protection of quantum audio. In the new algorithm, the least significant bites and the peripheral least significant bits of the amplitudes are modified in terms of their logical consistency and correlation to enhance watermark robustness of resisting various illegal attacks. Furthermore, the new algorithm can avoid the weak robustness defect of many previous algorithms that directly embedded the watermark into the least significant bits. In order to implement the new algorithm, some spe- cific quantum circuits are designed to obtain better applicability and scalability for embedding and extracting watermark. Finally, the simulation results including the values of audio waveforms and signal to noise ratios （SNR） prove that the new algorithm has good transparency, robustness, and security.展开更多
Wavelet analysis has applications in many ar-eas,such as signal analysis and image processing.We pro-pose a method for generating the complete circuit of Haar wavelet based MRA by factoring butterfly matrices and con-...Wavelet analysis has applications in many ar-eas,such as signal analysis and image processing.We pro-pose a method for generating the complete circuit of Haar wavelet based MRA by factoring butterfly matrices and con-ditional perfect shuffle permutation matrices.The factoriza-tion of butterfly matrices is the essential part of the design.As a result,it is the key point to obtain the circuits of I 2t⊕W⊕I 2n?2t?2.In this paper,we use a simple means to de-velop quantum circuits for this kind of matrices.Similarly,the conditional permutation matrix is implemented entirely,combined with the scheme of Fijany and Williams.The cir-cuits and the ideas adopted in the design are simple and in-telligible.展开更多
基金Project supported by the National Natural Science Foundation of China(Grant Nos.61373131,61303039,61232016,and 61501247)Sichuan Youth Science and Technique Foundation,China(Grant No.2017JQ0048)+1 种基金NUIST Research Foundation for Talented Scholars of China(Grant No.2015r014)PAPD and CICAEET Funds of China
文摘As one of essential multimedia in quantum networks, the copyright protection of quantum audio has gradually be- come an important issue in the domain of quantum information hiding in the decades. In this paper, an improved quantum watermarking algorithm based on quantum audio by using least significant qubit （LSQb） modification is proposed. Com- pared with the previous achievements, it can effectively improve the robustness and security of watermark for copyright protection of quantum audio. In the new algorithm, the least significant bites and the peripheral least significant bits of the amplitudes are modified in terms of their logical consistency and correlation to enhance watermark robustness of resisting various illegal attacks. Furthermore, the new algorithm can avoid the weak robustness defect of many previous algorithms that directly embedded the watermark into the least significant bits. In order to implement the new algorithm, some spe- cific quantum circuits are designed to obtain better applicability and scalability for embedding and extracting watermark. Finally, the simulation results including the values of audio waveforms and signal to noise ratios （SNR） prove that the new algorithm has good transparency, robustness, and security.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.60273080&60473003)Natural Science Foundation of Jilin Province(Grant No.20030107).
文摘Wavelet analysis has applications in many ar-eas,such as signal analysis and image processing.We pro-pose a method for generating the complete circuit of Haar wavelet based MRA by factoring butterfly matrices and con-ditional perfect shuffle permutation matrices.The factoriza-tion of butterfly matrices is the essential part of the design.As a result,it is the key point to obtain the circuits of I 2t⊕W⊕I 2n?2t?2.In this paper,we use a simple means to de-velop quantum circuits for this kind of matrices.Similarly,the conditional permutation matrix is implemented entirely,combined with the scheme of Fijany and Williams.The cir-cuits and the ideas adopted in the design are simple and in-telligible.
