Photonic logic tensor computing beyond Tbit/s per core Article Swipe
Wenkai Zhang
,
Bo Wu
,
Wentao Gu
,
Hui Zhou
,
Weida Hu
,
Tingchao He
,
L. Chen
,
Wenchan Dong
,
Dongmei Huang
,
Yang Zhao
,
Wei Wang
,
Naidi Cui
,
Qiansheng Wang
,
Xi Xiao
,
Jianji Dong
,
Xinliang Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/optica.557867
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/optica.557867
The soaring demand for computing resources has spurred great interest in photonic computing with higher speed and larger computing capacity. Photonic logic gates are of crucial importance due to the fundamental role of Boolean logic in modern digital computing systems. However, most photonic logic schemes struggle to exhibit the capability of massively parallel processing and flexible reconfiguration, owing to weak and fixed nonlinearity in optical elements. Here, we propose a photonic logic tensor computing architecture for the first time and fabricate the photonic universal logic tensor core (PULTC) with a parallel logic computing capacity beyond Tbit/s. Ten wavelength channels and four spatial channels are designed in the PULTC, where the logic computing speed in each channel can reach 50 Gbit/s. After the nonlinear mapping of microring modulators, arbitrary logic operations can be achieved by configuring the Mach–Zehnder interferometer mesh. We further develop a photonic logic tensor card and demonstrate various functions including cellular automata, image encryption and decryption, and image edge extraction. Our work offers an innovative route for photonic universal logic computing with high-parallel capability and propels the practical applications of photonic logic computing.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/optica.557867
- OA Status
- gold
- Cited By
- 2
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411931006
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4411931006Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1364/optica.557867Digital Object Identifier
- Title
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Photonic logic tensor computing beyond Tbit/s per coreWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-07-02Full publication date if available
- Authors
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Wenkai Zhang, Bo Wu, Wentao Gu, Hui Zhou, Weida Hu, Tingchao He, L. Chen, Wenchan Dong, Dongmei Huang, Yang Zhao, Wei Wang, Naidi Cui, Qiansheng Wang, Xi Xiao, Jianji Dong, Xinliang ZhangList of authors in order
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https://doi.org/10.1364/optica.557867Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1364/optica.557867Direct OA link when available
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TOPS, Core (optical fiber), Computer science, Physics, Telecommunications, Optics, AzimuthTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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| abstract_inverted_index.channel | 115 |
| abstract_inverted_index.crucial | 25 |
| abstract_inverted_index.develop | 141 |
| abstract_inverted_index.digital | 37 |
| abstract_inverted_index.exhibit | 47 |
| abstract_inverted_index.further | 140 |
| abstract_inverted_index.mapping | 123 |
| abstract_inverted_index.optical | 64 |
| abstract_inverted_index.propels | 177 |
| abstract_inverted_index.propose | 68 |
| abstract_inverted_index.schemes | 44 |
| abstract_inverted_index.soaring | 1 |
| abstract_inverted_index.spatial | 101 |
| abstract_inverted_index.spurred | 7 |
| abstract_inverted_index.various | 149 |
| abstract_inverted_index.However, | 40 |
| abstract_inverted_index.Photonic | 20 |
| abstract_inverted_index.achieved | 132 |
| abstract_inverted_index.capacity | 93 |
| abstract_inverted_index.cellular | 152 |
| abstract_inverted_index.channels | 98, 102 |
| abstract_inverted_index.designed | 104 |
| abstract_inverted_index.flexible | 55 |
| abstract_inverted_index.interest | 9 |
| abstract_inverted_index.parallel | 52, 90 |
| abstract_inverted_index.photonic | 11, 42, 70, 82, 143, 169, 182 |
| abstract_inverted_index.struggle | 45 |
| abstract_inverted_index.systems. | 39 |
| abstract_inverted_index.arbitrary | 127 |
| abstract_inverted_index.automata, | 153 |
| abstract_inverted_index.capacity. | 19 |
| abstract_inverted_index.computing | 4, 12, 18, 38, 73, 92, 111, 172 |
| abstract_inverted_index.elements. | 65 |
| abstract_inverted_index.fabricate | 80 |
| abstract_inverted_index.functions | 150 |
| abstract_inverted_index.including | 151 |
| abstract_inverted_index.massively | 51 |
| abstract_inverted_index.microring | 125 |
| abstract_inverted_index.nonlinear | 122 |
| abstract_inverted_index.practical | 179 |
| abstract_inverted_index.resources | 5 |
| abstract_inverted_index.universal | 83, 170 |
| abstract_inverted_index.capability | 49, 175 |
| abstract_inverted_index.computing. | 184 |
| abstract_inverted_index.encryption | 155 |
| abstract_inverted_index.importance | 26 |
| abstract_inverted_index.innovative | 166 |
| abstract_inverted_index.operations | 129 |
| abstract_inverted_index.processing | 53 |
| abstract_inverted_index.wavelength | 97 |
| abstract_inverted_index.configuring | 134 |
| abstract_inverted_index.decryption, | 157 |
| abstract_inverted_index.demonstrate | 148 |
| abstract_inverted_index.extraction. | 161 |
| abstract_inverted_index.fundamental | 30 |
| abstract_inverted_index.modulators, | 126 |
| abstract_inverted_index.applications | 180 |
| abstract_inverted_index.architecture | 74 |
| abstract_inverted_index.nonlinearity | 62 |
| abstract_inverted_index.high-parallel | 174 |
| abstract_inverted_index.Mach–Zehnder | 136 |
| abstract_inverted_index.interferometer | 137 |
| abstract_inverted_index.reconfiguration, | 56 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 16 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.47999998927116394 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.97696815 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |