Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/143009
Title: | Universal self-correcting computing with disordered exciton-polariton neural networks | Authors: | Xu, Huawen Ghosh, Sanjib Matuszewski, Michal Liew, Timothy Chi Hin |
Keywords: | Science::Physics | Issue Date: | 2020 | Source: | Xu, H., Ghosh, S., Matuszewski, M., & Liew, T. C. H. (2020). Universal self-correcting computing with disordered exciton-polariton neural networks. Physical Review Applied, 13(6), 064074-. doi:10.1103/PhysRevApplied.13.064074 | Journal: | Physical Review Applied | Abstract: | We show theoretically that neural networks based on disordered exciton-polariton systems allow the realization of Toffoli gates. Noise in input signals is self-corrected by the networks, such that the obtained Toffoli gates are in principle cascadable, where their universality would allow for arbitrary circuits without the need of additional error-correcting codes. We further find that the exciton-polariton reservoir computers can directly simulate composite circuits, such that they are a highly efficient platform allowing circuits to operate in a single step, minimizing the delay of signal transport between elements and error-correction overhead. | URI: | https://hdl.handle.net/10356/143009 | ISSN: | 2331-7019 | DOI: | 10.1103/PhysRevApplied.13.064074 | DOI (Related Dataset): | 10.21979/N9/NGJASP | Schools: | School of Physical and Mathematical Sciences | Rights: | © 2020 American Physical Society. All rights reserved. This paper was published in Physical Review Applied and is made available with permission of American Physical Society. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SPMS Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
PhysRevApplied.13.064074.pdf | Universal Self-Correcting Computing with Disordered Exciton-Polariton Neural Networks | 2.86 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
20
11
Updated on Mar 7, 2024
Web of ScienceTM
Citations
20
10
Updated on Oct 21, 2023
Page view(s)
250
Updated on Mar 28, 2024
Download(s) 50
142
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.