Kaoru Hirota

TL;DR: A constructive polynomial preparation for the FRQI state from an initial state, an algorithm for quantum image compression (QIC), and processing operations for quantum images are combined to build the whole process for Quantum image processing onFRQI.

TL;DR: It is proposed that dense rule bases should be reduced so that only the minimal necessary number of rules remain still containing the essential information in the original base, and all other rules are replaced by the interpolation algorithm that however can recover them with a certain accuracy prescribed before reduction.

TL;DR: It is shown that the family of all probabilistic sets constitutes a complete pseudo-Boolean algebra, which is based on both probability theory and fuzzy concepts.

TL;DR: Simulation-based experimental results involving the classical (i.e. conventional or non-quantum) simulation of the input images, watermark signals, and quantum circuits yielded a 25% improvement in terms of overall watermark-embedding capacity and between 7% and 50.7% in the visible quality of the watermarked images in comparison with select digital watermarking methods for various pairs, thus, demonstrating both the feasibility and capabilities of the proposed WaQI scheme.

TL;DR: Since the network is characterised by smooth fourth-order exponential nonlinearity, a distinctive approach is employed to assess its different properties: the circuit stability near fixed points is examined and dynamic complexity is evaluated using the Lyaponov spectrum analysis, bifurcation analysis and phase space trajectories.