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In this paper, three techniques of internal image-representation in a quantumcomputer are compared: Flexible Representation of Quantum Images (FRQI), NovelEnhanced Quantum Representation of digital images (NEQR), and Quantum BooleanImage Processing (QBIP). All conspicuous technical items are considered in thiscomparison for complete analysis: i) performance as Classical-to-Quantum(Cl2Qu) interface, ii) characteristics of the employed qubits, iii) sparsity ofthe used internal registers, iv) number and size of the required registers, v)quality in the outcomes recovering, vi) number of required gates and itsconsequent accumulated noise, vi) decoherence, and vii) fidelity. Theseanalyses and demonstrations are automatically extended to all variants of FRQIand NEQR. This study demonstrated the practical infeasibility in theimplementation of FRQI and NEQR on a physical quantum computer (QPU), whileQBIP has proven to be extremely successful on a) the four main quantumsimulators on the cloud, b) two QPUs, and c) optical circuits from three labs.Moreover, QBIP also demonstrated its economy regarding the required resourcesneeded for its proper function and its great robustness (immunity to noise),among other advantages, in fact, without any exceptions.

Quantum Image Processing: the truth, the whole truth, and nothing but  the truth about its problems on internal image representation and outcomes  recovering