MicroAlgo Inc. Develops Quantum Image Encryption Algorithm Based on Quantum Key Images, Offering A Higher Security Image Protection Solution

Core Viewpoint - MicroAlgo Inc. has developed an innovative quantum image encryption algorithm that utilizes quantum key images for efficient image protection, leveraging quantum mechanics principles to enhance security and performance [1][7]. Group 1: Quantum Image Encryption Algorithm - The algorithm employs a quantum key image to store encryption keys, utilizing quantum entanglement and parallelism for effective image encryption [1]. - A quantum key map is prepared using the GQIR method, which is crucial for storing the encryption key securely [2]. - The encryption process involves generating random key sequences through a quantum random number generator (QRNG), ensuring high-security keys [3]. Group 2: Preprocessing and Encryption Process - Prior to encryption, the plaintext image undergoes preprocessing to optimize its state for effective encryption, including format conversion and pixel value adjustments [4]. - The core encryption operation uses a bitwise XOR between the plaintext image and the quantum key map, resulting in a highly random and secure encrypted image [5]. Group 3: Storage and Transmission Security - After encryption, the secure storage and transmission of the encrypted image are essential to prevent unauthorized access, employing advanced Quantum Key Distribution (QKD) technology for secure transmission [6]. Group 4: Applications and Market Potential - The algorithm has significant potential in various sectors, including financial transactions, government institutions, and the medical field, providing robust encryption to protect sensitive information [8][9]. - With the rise of the Internet of Things (IoT), the algorithm offers secure communication channels to protect smart devices from hacking, enhancing the overall security of the digital ecosystem [9]. Group 5: Future Outlook - As quantum computing and encryption technologies evolve, the security and efficiency of MicroAlgo's algorithm are expected to improve, positioning it for widespread adoption across diverse fields [10].