Quantum Computing Inc. (QCi), which focuses on quantum optics and photonics, announced that NeuraWave, its a photonic reservoir computing platform, is now deployment-ready. NeuraWave is designed to speed up artificial intelligence (AI) inference and advanced signal processing applications at the edge.
NeuraWave uses hybrid photonic-digital computing to deliver real-time AI inference, and supports applications that include time-series prediction, anomaly detection, and edge intelligence. This, the company says, will enable a new class of edge AI capabilities and providing actionable insights with lower latency and reduced power.
“This marks an important step forward for photonic computing, bringing it out of the laboratory and into the hands of users that require real-time and energy-efficient AI inference,” said Dr. Yong Meng Sua, Chief Technology Officer of QCi. “NeuraWave demonstrates how our photonic approach can move beyond research and into practical AI and machine learning systems.”
“With the form factor of a standard server PCIe plug-in card, NeuraWave brings photonic computing to AI at the edge. By processing data with light instead of electrons, we’re creating a fundamentally different approach to real-time analysis, one that has the potential to unlock capabilities beyond what traditional electronic chips can achieve,” said Prajnesh Kumar, Quantum Technology Lead at QCi.
NeuraWave is part of QCi’s broader strategy to advance photonic computing platforms that bring quantum-inspired and optical technologies into real-world applications.
