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arXiv 1503.04400quant-phcs.CVcs.LG

Separable and non-separable data representation for pattern discrimination

IITiS PAN(波兰科学院理论与应用信息学研究所);University of Cagliari(卡利亚里大学)

Jarosław Adam Miszczak

英文摘要:

We provide a complete work-flow, based on the language of quantum information theory, suitable for processing data for the purpose of pattern recognition. The main advantage of the introduced scheme is that it can be easily implemented and applied to process real-world data using modest computation resources. At the same time it can be used to investigate the difference in the pattern recognition resulting from the utilization of the tensor product structure of the space of quantum states. We illustrate this difference by providing a simple example based on the classification of 2D data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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