Analysis of five techniques for the internal representation of a digital image inside a quantum processor

Latesh K.J. Kumar; Mario Mastriani; Sundaraja Sitharama Iyengar

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Analysis of five techniques for the internal representation of a digital image inside a quantum processor

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arxiv 2008.01081 v1 pith:PXPRNFLR submitted 2020-08-03 quant-ph

Sundaraja Sitharama Iyengar , Latesh K.J. Kumar , Mario Mastriani This is my paper · ORCID

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In this paper, five techniques, for the representation of a digital image inside a quantum processor, are compared. The techniques are: flexible representation of quantum images (FRQI), novel enhanced quantum representation (NEQR), generalized quantum image representation (GQIR), multi-channel representation for quantum images (MCQI), and quantum Boolean image processing (QBIP). The comparison will be based on implementations on the Quirk simulator, and on the IBM Q Experience processors, from the point of view of performance, robustness (noise immunity), deterioration of the outcomes due to decoherence, and technical viability.

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