Roadmap for network-based biocomputation
نویسندگان
چکیده
Abstract Network-based biocomputation (NBC) is an alternative, parallel computation approach that can potentially solve technologically important, combinatorial problems with much lower energy consumption than electronic processors. In NBC, a problem encoded into physical, nanofabricated network. The solved by biological agents (such as cytoskeletal filaments driven molecular motors) explore all possible pathways through the network in massively and highly energy-efficient manner. Whereas there currently rapid development size types of be NBC proof-of-principle experiments, significant challenges still need to overcome before scaled up fill technological niche reach industrial level manufacturing. Here, we provide roadmap identifies key scientific needs. Specifically, identify technology benchmarks reached or overcome, well solutions for how achieve this. These include methods large-scale production nanoscale physical networks, dynamically changing these encoding information onto agents, single-molecule readout technology, integration each approaches production. We also introduce figures merit help analyze scalability various networks use evaluate scenarios major impact NBC. A milestone will increase parallelization point where able outperform current run time If this achieved, would offer drastic advantage terms orders magnitude consumption. addition, fundamentally different architecture compared conventional computers may make it more advantageous certain instances are easy parallelize. To objectives, purpose pre-competitive research domains, enabling cooperation between industry, institutes, universities sharing efforts reducing cost time.
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ژورنال
عنوان ژورنال: Nano futures
سال: 2022
ISSN: ['2399-1984']
DOI: https://doi.org/10.1088/2399-1984/ac7d81