Insider Brief
- Quantum Computing Inc. announced that its NeuraWave photonic reservoir computing platform is now deployment-ready for edge AI inference.
- The system uses hybrid photonic-digital computing to deliver low-latency, energy-efficient processing for tasks like time-series prediction and anomaly detection.
- NeuraWave is designed as a scalable alternative to GPU-based systems, targeting applications across defense, telecom, healthcare, and industrial sectors.
PRESS RELEASE — Quantum Computing Inc. (“QCi” or the “Company”) (NASDAQ: QUBT) an innovative, quantum optics and integrated photonics technology company, today announced that NeuraWave, its next-generation photonic reservoir computing platform first debuted at SC25, is now deployment-ready. NeuraWave is designed to enable faster, energy-efficient artificial intelligence (AI) inference and advanced signal processing applications at the edge.
Conventional AI systems rely on power‑hungry digital processors. NeuraWave uses hybrid photonic-digital computing, delivering real-time AI inference with ultra‑low latency and significantly reduced power. NeuraWave is designed to support a wide range of applications, including time-series prediction, anomaly detection, and edge intelligence, enabling a new class of edge AI capabilities and providing actionable insights in time-sensitive and resource-constrained environments.
Unlike traditional GPU-based architectures, NeuraWave provides a scalable, hardware-accelerated alternative optimized for edge and embedded deployment. Its architecture is designed to enable high-performance inference at low power, opening new possibilities in markets such as defense, telecommunications, autonomous vehicles, robotics, healthcare, and industrial monitoring.
“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.
The introduction of NeuraWave reinforces QCi’s broader strategy to advance photonic computing platforms that bring quantum-inspired and optical technologies into real-world applications today, with units currently being manufactured and now available for customer orders. NeuraWave represents a key milestone in our previously announced 2025 technology roadmap (available on our website), further validating our strategic direction and continued progress in delivering practical, real-world quantum solutions.
To learn more about NeuraWave and explore how it can enable next-generation AI at the edge, visit our website or contact Quantum Computing Inc. to schedule a demonstration or discussion with our team.
