Implementing parallel arithmetic via acetylation and its application to chemical image processing
نویسندگان
چکیده
Chemical mixtures can be leveraged to store large amounts of data in a highly compact form and have the potential for massive scalability owing use large-scale molecular libraries. With parallelism that comes from having many species available, chemical-based memory also provide physical substrate computation with increased throughput. Here, we represent non-binary matrices chemical solutions perform multiple matrix multiplications additions, parallel, using reactions. As case study, demonstrate image processing, which small greyscale images are encoded kernel-based convolutions performed phenol acetylation In these experiments, measured concentrations reaction products (phenyl acetates) reconstruct output image. addition, establish criteria required realize processing validate reaction-based multiplication. Most importantly, this work shows fundamental arithmetic operations reliably carried out Our approach could serve as basis developing more advanced computing architectures.
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ژورنال
عنوان ژورنال: Proceedings of The Royal Society A: Mathematical, Physical and Engineering Sciences
سال: 2021
ISSN: ['1471-2946', '1364-5021']
DOI: https://doi.org/10.1098/rspa.2020.0899