Encryption and information hiding are widely used in security applications requiring copyright protection, over-communication, and tamper detection. Quantum steganography, using quantum images and audio as information carriers, is a fascinating hybrid of classical and quantum informatics. While existing steganography techniques offer high invisibility, current embedding capacities remain insufficient. As such, a high capacity quantum steganography algorithm, based on image interpolation, is proposed in this study. In this approach, quantum interpolation is conducted by maximizing difference values between neighboring pixels to generate a cover image. Secret message embedding and extraction steps are then developed for the resulting quantum images, in addition to corresponding quantum circuit networks. A series of simulation experiments were conducted to demonstrate the implementation and assess the performance of the proposed technique, the efficiency of which was evaluated using several performance metrics and the visual quality of the stego-images. The resulting information capacity was much higher than that of existing quantum steganography algorithms. This suggests the proposed strategy to be a promising trade-off between invisibility and capacity, providing new motivation to investigate image steganography using quantum computing resources.

加密和信息隐藏广泛用于需要版权保护、过度通信和篡改检测的安全应用中。量子隐写术使用量子图像和音频作为信息载体，是经典和量子信息学的迷人混合体。虽然现有的隐写技术提供了高度的隐身性，但当前的嵌入能力仍然不足。因此，本研究提出了一种基于图像插值的高容量量子隐写算法。在这种方法中，通过最大化相邻像素之间的差异值来进行量子插值以生成覆盖图像。除了相应的量子电路网络之外，然后还为得到的量子图像开发了秘密消息嵌入和提取步骤。进行了一系列模拟实验以证明所提出技术的实施和评估其性能，其效率使用几个性能指标和隐写图像的视觉质量进行评估。由此产生的信息容量远高于现有的量子隐写算法。这表明所提出的策略是不可见性和容量之间有希望的权衡，为使用量子计算资源研究图像隐写术提供了新的动力。由此产生的信息容量远高于现有的量子隐写算法。这表明所提出的策略是不可见性和容量之间的一个有前途的权衡，为使用量子计算资源研究图像隐写术提供了新的动力。由此产生的信息容量远高于现有的量子隐写算法。这表明所提出的策略是不可见性和容量之间有希望的权衡，为使用量子计算资源研究图像隐写术提供了新的动力。