Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366169637> ?p ?o ?g. }
- W4366169637 abstract "A Mach–Zehnder interferometer is a basic building block for linear transformations that has been widely applied in optical neural networks. However, its sinusoidal transfer function leads to the inevitable dynamic phase quantization error, which is hard to eliminate through pre-calibration. Here, a strongly overcoupled ring is introduced to compensate for the phase change without adding perceptible loss. Two full-scale linearized Mach–Zehnder interferometers are proposed and experimentally validated to improve the bit precision from 4-bit to 6- and 7-bit, providing ∼3.5× to 6.1× lower phase quantization errors while maintaining the same scalability. The corresponding optical neural networks demonstrate higher training accuracy." @default.
- W4366169637 created "2023-04-19" @default.
- W4366169637 creator A5000811802 @default.
- W4366169637 creator A5007928811 @default.
- W4366169637 creator A5009774058 @default.
- W4366169637 creator A5019282114 @default.
- W4366169637 creator A5026469664 @default.
- W4366169637 creator A5028786223 @default.
- W4366169637 creator A5031606582 @default.
- W4366169637 creator A5053803390 @default.
- W4366169637 creator A5060839571 @default.
- W4366169637 creator A5076668666 @default.
- W4366169637 creator A5077796596 @default.
- W4366169637 creator A5084717091 @default.
- W4366169637 date "2023-04-01" @default.
- W4366169637 modified "2023-10-06" @default.
- W4366169637 title "Low-phase quantization error Mach–Zehnder interferometers for high-precision optical neural network training" @default.
- W4366169637 cites W1990251220 @default.
- W4366169637 cites W2039054970 @default.
- W4366169637 cites W2078809220 @default.
- W4366169637 cites W2090724630 @default.
- W4366169637 cites W2091382331 @default.
- W4366169637 cites W2094904256 @default.
- W4366169637 cites W2115708064 @default.
- W4366169637 cites W2120901300 @default.
- W4366169637 cites W2466626281 @default.
- W4366169637 cites W2468172470 @default.
- W4366169637 cites W2518949474 @default.
- W4366169637 cites W2752849906 @default.
- W4366169637 cites W2765411133 @default.
- W4366169637 cites W2783525259 @default.
- W4366169637 cites W2794284562 @default.
- W4366169637 cites W2884001105 @default.
- W4366169637 cites W2894308888 @default.
- W4366169637 cites W2902907165 @default.
- W4366169637 cites W2904694042 @default.
- W4366169637 cites W2943267175 @default.
- W4366169637 cites W2944996566 @default.
- W4366169637 cites W2962730419 @default.
- W4366169637 cites W2964082513 @default.
- W4366169637 cites W2971110268 @default.
- W4366169637 cites W2974263490 @default.
- W4366169637 cites W2997958396 @default.
- W4366169637 cites W3014583102 @default.
- W4366169637 cites W3103046660 @default.
- W4366169637 cites W3103448394 @default.
- W4366169637 cites W3107308400 @default.
- W4366169637 cites W3130725666 @default.
- W4366169637 cites W3135890712 @default.
- W4366169637 cites W3165876013 @default.
- W4366169637 cites W3167975292 @default.
- W4366169637 cites W3172968529 @default.
- W4366169637 cites W3215285253 @default.
- W4366169637 cites W3217375294 @default.
- W4366169637 cites W3217692779 @default.
- W4366169637 cites W4200102171 @default.
- W4366169637 cites W4214660926 @default.
- W4366169637 cites W4221069714 @default.
- W4366169637 cites W4224026682 @default.
- W4366169637 cites W4249979465 @default.
- W4366169637 cites W4293182594 @default.
- W4366169637 cites W4293242744 @default.
- W4366169637 doi "https://doi.org/10.1063/5.0146062" @default.
- W4366169637 hasPublicationYear "2023" @default.
- W4366169637 type Work @default.
- W4366169637 citedByCount "0" @default.
- W4366169637 crossrefType "journal-article" @default.
- W4366169637 hasAuthorship W4366169637A5000811802 @default.
- W4366169637 hasAuthorship W4366169637A5007928811 @default.
- W4366169637 hasAuthorship W4366169637A5009774058 @default.
- W4366169637 hasAuthorship W4366169637A5019282114 @default.
- W4366169637 hasAuthorship W4366169637A5026469664 @default.
- W4366169637 hasAuthorship W4366169637A5028786223 @default.
- W4366169637 hasAuthorship W4366169637A5031606582 @default.
- W4366169637 hasAuthorship W4366169637A5053803390 @default.
- W4366169637 hasAuthorship W4366169637A5060839571 @default.
- W4366169637 hasAuthorship W4366169637A5076668666 @default.
- W4366169637 hasAuthorship W4366169637A5077796596 @default.
- W4366169637 hasAuthorship W4366169637A5084717091 @default.
- W4366169637 hasBestOaLocation W43661696371 @default.
- W4366169637 hasConcept C11413529 @default.
- W4366169637 hasConcept C120665830 @default.
- W4366169637 hasConcept C121332964 @default.
- W4366169637 hasConcept C12296473 @default.
- W4366169637 hasConcept C154945302 @default.
- W4366169637 hasConcept C166689943 @default.
- W4366169637 hasConcept C23576306 @default.
- W4366169637 hasConcept C28855332 @default.
- W4366169637 hasConcept C41008148 @default.
- W4366169637 hasConcept C48044578 @default.
- W4366169637 hasConcept C50644808 @default.
- W4366169637 hasConcept C77088390 @default.
- W4366169637 hasConceptScore W4366169637C11413529 @default.
- W4366169637 hasConceptScore W4366169637C120665830 @default.
- W4366169637 hasConceptScore W4366169637C121332964 @default.
- W4366169637 hasConceptScore W4366169637C12296473 @default.
- W4366169637 hasConceptScore W4366169637C154945302 @default.
- W4366169637 hasConceptScore W4366169637C166689943 @default.
- W4366169637 hasConceptScore W4366169637C23576306 @default.
- W4366169637 hasConceptScore W4366169637C28855332 @default.