article · D-Scholarship@Pitt (University of Pittsburgh) · 2024

Coherent Photonic Vector Processor for Scalable and Efficient Optical Computing.

Rahimi Kari, Sadra

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Abstract

Recent advancements in artificial intelligence (AI) have hinged on the capacity to train increasingly vast parameter sets within neural networks, a trend that has outpaced the computational capabilities of traditional digital hardware. This has led to a critical need for new computing paradigms that can simultaneously enhance computational efficiency and throughput. Photonic analog computing emerges as a promising solution to reduce latency and boost performance, particularly in addressing the memory-related challenges that underpin AI's success. This thesis presents an overview of the integration of optical and electrical memories with photonic hardware, underlining the pivotal role of memory technologies. It emphasizes the need for more efficient and compact memory for optical computing and presents an integrated coherent solution to process temporally multiplexed optical signals using a modular dot-product unit cell. We use these unit cells to demonstrate multiply accumulate operations on real- and complex-valued inputs using coherent detection and temporal integration. We then extend this to computing the covariance between stochastic bit streams which can be used to estimate correlation between data streams in the optical domain. Finally, we demonstrate a path to scaling up our platform to enable general matrix-matrix operations. This approach has the potential to enable highly efficient and scalable optical computing on-chip for a broad variety of AI applications.

Cite this paper

APA 7

Rahimi Kari, S. (2024). Coherent Photonic Vector Processor for Scalable and Efficient Optical Computing. D-Scholarship@Pitt (University of Pittsburgh).

MLA 9

Rahimi Kari, Sadra. “Coherent Photonic Vector Processor for Scalable and Efficient Optical Computing.” D-Scholarship@Pitt (University of Pittsburgh), 2024.

Chicago

Rahimi Kari, Sadra. 2024. “Coherent Photonic Vector Processor for Scalable and Efficient Optical Computing.” D-Scholarship@Pitt (University of Pittsburgh).

Harvard

Rahimi Kari, S. (2024) ‘Coherent Photonic Vector Processor for Scalable and Efficient Optical Computing’, D-Scholarship@Pitt (University of Pittsburgh).

BibTeX

@article{rahimikari2024coherent,
  title = {{Coherent Photonic Vector Processor for Scalable and Efficient Optical Computing.}},
  author = {Rahimi Kari, Sadra},
  journal = {D-Scholarship@Pitt (University of Pittsburgh)},
  year = {2024}
}

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