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DNA computing for combinational logic

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Abstract

With the progressive scale-down of semiconductor’s feature size, people are looking forward to More Moore and More than Moore. In order to offer a possible alternative implementation process, researchers are trying to figure out a feasible transfer from silicon to molecular computing. Such transfer lies on bio-based modules programming with computer-like logic, aiming at realizing the Turing machine. To accomplish this, the DNA-based combinational logic is inevitably the first step we have taken care of. This timely overview study introduces combinational logic synthesized in DNA computing from both analog and digital perspectives separately. State-of-the-art research progress is summarized for interested readers to quick understand DNA computing, initiate discussion on existing techniques and inspire innovation solutions. We hope this study can pave the way for the future DNA computing synthesis.

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61871115, 61501116), Jiangsu Provincial Natural Science Foundation for Excellent Young Scholars, Huawei HIRP Flagship under (Grant No. YB201504), the Fundamental Research Funds for the Central Universities, the SRTP of Southeast University, State Key Laboratory of ASIC & System (Grant No. 2016KF007), ICRI for MNC, and the Project Sponsored by the SRF for the Returned Overseas Chinese Scholars of MoE.

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  1. Chuan ZHANG and Lulu GE have the same contribution to this work.

Authors and Affiliations

  1. Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS), Southeast University, Nanjing, 211189, China

    Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen & Zhiwei Zhong

  2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 211189, China

    Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong, Zaichen Zhang & Xiaohu You

  3. Quantum Information Center, Southeast University, Nanjing, 211189, China

    Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong & Zaichen Zhang

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  1. Chuan Zhang
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Correspondence to Chuan Zhang.

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Zhang, C., Ge, L., Zhuang, Y. et al. DNA computing for combinational logic. Sci. China Inf. Sci. 62, 61301 (2019). https://doi.org/10.1007/s11432-018-9530-x

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