Abstract
The computing functionality emerging from spatial correlations due to near-field interactions between local processing and memory elements is discussed. In particular, we investigate the possibility of solving a problem analogous to the spin-glass problem by using a coupled dipole system, in which the individual coupling strengths can be modified to optimize the system so that the exact solution can be easily reached. For this algorithm, we propose an implementation based on a coupled plasmon-particle system interacting with a phase-change material; this system exhibits threshold behavior and plasticity to provide processing and memory functions, respectively.
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Acknowledgments
This research was supported by JSPS KAKENHI Grant Number 24226006 and the Core-to-Core Program, Advanced Research Networks, and partially by the Advanced Photon Science Alliance Project of the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT).
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Kanazawa, S., Kuwamura, K., Kihara, Y. et al. Computations with near-field coupled plasmon particles interacting with phase-change materials. Appl. Phys. A 121, 1323–1327 (2015). https://doi.org/10.1007/s00339-015-9338-2
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DOI: https://doi.org/10.1007/s00339-015-9338-2