The Potential of Multidimensional Photonic Computing

The potential of multidimensional photonic computing

The rapidly increasing demands on computational throughput, bandwidth and memory capacity fuelled by breakthroughs in machine learning pose substantial challenges for conventional electronic computing platforms. Historically, advancing compute performance relied on miniaturization to increase the transistor count on a given chip area and, more recently, on the development of parallel and multicore architectures. Computing platforms that process …

Arago raises $26M to slash AI energy consumption with new photonic ...

The heart of Arago's processor, codenamed “JEF,” is a proprietary photonic technology: instead of transistors, it uses lasers to process data with photons. The chip is designed to deliver 10× lower energy consumption than today’s leading GPUs at equivalent performance and cost.

Silicon Photonics Enable Compact Single-qubit Machine Learning Classifier

A silicon photonic integrated circuit implements a single-qubit classifier, achieving nearly 90% accuracy with an average of just two photons per input via data reuploading and sequential minimal optimisation, demonstrating the potential for resource-efficient machine learning on integrated photonic platforms.