Nonlinear optical vector processing using linear silicon photonic circuits for 50 Gb/s memory and string similarity functions

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Foilsithe in:Nature Communications vol. 16, no. 1 (2025), p. 11416-11425
Príomhchruthaitheoir: Moschos, T.
Rannpháirtithe: Pappas, C., Kovaios, S., Roumpos, I., Prapas, A., Tsakyridis, A., Moralis-Pegios, M., Vagionas, C., London, Y., Tossoun, B., Van Vaerenbergh, T., Pleros, N.
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Nature Publishing Group
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022 |a 2041-1723 
024 7 |a 10.1038/s41467-025-66286-7  |2 doi 
035 |a 3288238655 
045 2 |b d20250101  |b d20251231 
084 |a 145839  |2 nlm 
100 1 |a Moschos, T.  |u Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece (ROR: https://ror.org/02j61yw88) (GRID: grid.4793.9) (ISNI: 0000 0001 0945 7005); Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece 
245 1 |a Nonlinear optical vector processing using linear silicon photonic circuits for 50 Gb/s memory and string similarity functions 
260 |b Nature Publishing Group  |c 2025 
513 |a Journal Article 
520 3 |a The need for high-speed, energy-efficient computing in machine learning and communications necessitates innovations beyond conventional electronics to sustain computational power advances without requiring prohibitive energy amounts. Photonics have emerged in various applications, demonstrating significant highlights in optical linear transformations, while if successfully employed can also be used in nonlinear processes and matching functionalities. Towards this we demonstrate nonlinear optical vector processing in the form of hamming distance calculations and content addressable memory banks, using linear silicon photonic circuits at the high-speed of 50 Gb/s, enabling pattern matching and look-up operations. The processor employs a 4×4 crossbar architecture utilizing silicon germanium modulators computing hamming distance between 2-bit optical vectors. It achieves error-rates of ~10⁻³ in binary/ternary content matching, improving state-of-the-art demonstration speeds by >2.5×. Scalability is enhanced through space-wavelength multiplexing via a wavelength-division multiplexing cell, experimentally demonstrated at 50 Gb/s, offering increased computational capacity with reduced insertion losses and power consumption.Photonic technologies enable energy-efficient, high-speed computing, beyond electronics. The work shows nonlinear optical vector processing via linear transformations and wavelength multiplexing, for Hamming Distance and CAMs at 50 Gb/s, via silicon photonics. 
653 |a Silicon 
653 |a Insertion loss 
653 |a Computation 
653 |a Wave division multiplexing 
653 |a Germanium 
653 |a Pattern matching 
653 |a Microprocessors 
653 |a Energy efficiency 
653 |a Architecture 
653 |a Digital electronics 
653 |a Computer applications 
653 |a Circuits 
653 |a Power consumption 
653 |a Linear transformations 
653 |a Machine learning 
653 |a Optics 
653 |a Nonlinear phenomena 
653 |a Wavelength division multiplexing 
653 |a Electronics 
653 |a Integrated circuits 
653 |a Associative memory 
653 |a Error correction & detection 
653 |a Nonlinear optics 
653 |a Wavelength 
653 |a High speed 
653 |a Power management 
653 |a Vector processing (computers) 
653 |a Photonics 
700 1 |a Pappas, C.  |u Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece (ROR: https://ror.org/02j61yw88) (GRID: grid.4793.9) (ISNI: 0000 0001 0945 7005); Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece 
700 1 |a Kovaios, S.  |u Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece (ROR: https://ror.org/02j61yw88) (GRID: grid.4793.9) (ISNI: 0000 0001 0945 7005); Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece 
700 1 |a Roumpos, I.  |u Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece (ROR: https://ror.org/02j61yw88) (GRID: grid.4793.9) (ISNI: 0000 0001 0945 7005); Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece 
700 1 |a Prapas, A.  |u Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece (ROR: https://ror.org/02j61yw88) (GRID: grid.4793.9) (ISNI: 0000 0001 0945 7005); Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece 
700 1 |a Tsakyridis, A.  |u Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece (ROR: https://ror.org/02j61yw88) (GRID: grid.4793.9) (ISNI: 0000 0001 0945 7005); Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece 
700 1 |a Moralis-Pegios, M.  |u Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece (ROR: https://ror.org/02j61yw88) (GRID: grid.4793.9) (ISNI: 0000 0001 0945 7005); Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece 
700 1 |a Vagionas, C.  |u Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece (ROR: https://ror.org/02j61yw88) (GRID: grid.4793.9) (ISNI: 0000 0001 0945 7005); Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece 
700 1 |a London, Y.  |u Hewlett Packard Labs, Milpitas, CA, USA (ROR: https://ror.org/059rn9488) (GRID: grid.418547.b) (ISNI: 0000 0004 0647 9083) 
700 1 |a Tossoun, B.  |u Hewlett Packard Labs, Santa Barbara, CA, USA (ROR: https://ror.org/059rn9488) (GRID: grid.418547.b) (ISNI: 0000 0004 0647 9083) 
700 1 |a Van Vaerenbergh, T.  |u Hewlett Packard Labs, Milpitas, CA, USA (ROR: https://ror.org/059rn9488) (GRID: grid.418547.b) (ISNI: 0000 0004 0647 9083) 
700 1 |a Pleros, N.  |u Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece (ROR: https://ror.org/02j61yw88) (GRID: grid.4793.9) (ISNI: 0000 0001 0945 7005); Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece 
773 0 |t Nature Communications  |g vol. 16, no. 1 (2025), p. 11416-11425 
786 0 |d ProQuest  |t Health & Medical Collection 
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