A fast quantum mechanical algorithm for database search
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
Strategies for designing geometric transformations on quantum images
Theoretical Computer Science
Watermarking and authentication of quantum images based on restricted geometric transformations
Information Sciences: an International Journal
Quantum walks: a comprehensive review
Quantum Information Processing
A watermark strategy for quantum images based on quantum fourier transform
Quantum Information Processing
A two-tier scheme for greyscale quantum image watermarking and recovery
International Journal of Innovative Computing and Applications
Image storage, retrieval, compression and segmentation in a quantum system
Quantum Information Processing
NEQR: a novel enhanced quantum representation of digital images
Quantum Information Processing
A novel quantum representation for log-polar images
Quantum Information Processing
Novel image encryption/decryption based on quantum Fourier transform and double phase encoding
Quantum Information Processing
Quantum Information Processing
Histogram-based segmentation of quantum images
Theoretical Computer Science
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We introduce a novel method for storing and retrieving binary geometrical shapes in quantum mechanical systems. In contrast to standard procedures in classical computer science in which image reconstruction requires not only the storage of light parameters (like light frequency) but also the storage and use of additional information like correlation and pixel spatial disposition, we show that the employment of maximally entangled qubits allows to reconstruct images without using any additional information. Moreover, we provide a concrete application of our proposal in the field of image recognition and briefly explore potential experimental realizations. Our proposal could be employed to enable emergent quantum technology to be used in high-impact scientific disciplines in which extensive use of image processing is made.