Towards a Photonic Integrated Linear Algebra Processor for Complex Matrix Multiplication and Inversion
View / Open Files
Authors
Cheng, Q
Chen, M
Ayata, M
Holm, M
Penty, R
Publication Date
2021-01-01Journal Title
Optics InfoBase Conference Papers
Conference Name
Photonics in Switching and Computing (PSC) Conference 2021
ISBN
9781557528209
Type
Conference Object
This Version
AM
Metadata
Show full item recordCitation
Cheng, Q., Chen, M., Ayata, M., Holm, M., & Penty, R. (2021). Towards a Photonic Integrated Linear Algebra Processor for Complex Matrix Multiplication and Inversion. Optics InfoBase Conference Papers https://doi.org/10.17863/CAM.81590
Abstract
We propose the first on-chip optical linear algebra processor for complex-valued matrix multiplication and inversion, incorporating III-V gain blocks. Architecture properties and design considerations are discussed, with numerical analyses showing its superiority over electronic processors.
Identifiers
External DOI: https://doi.org/10.17863/CAM.81590
This record's URL: https://www.repository.cam.ac.uk/handle/1810/334179
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.