Recent developments in the field of artificial intelligence have become a significant computational burden for current electronic hardware. In order to keep up with the increasing advancements in deep learning research, novel approaches to computation are required to address the slowing progress in computing performance and efficiency of electronic hardware. We will present our experimental results on a general-purpose optical processor that takes advantage of time multiplexing in integrated photonics and can perform not only dot products but also real-time correlation detection on stochastic bitstreams. This approach to optical processing has a significant compute efficiency advantage for long-bit sequences.
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