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通过在模拟memristor交叉杆中进行量子启发的并行化来实现高效的组合优化.

Mingrui Jiang1, Keyi Shan1, Chengping He1

  • 1Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China.

Nature communications
|September 22, 2023
PubMed
概括

本研究介绍了基于memristor的Ising机器的量子启发并行制方法,显著提高了复杂优化问题的速度和能源效率.

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