Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...

Model quantization bridges the gap between the computational limitations of edge devices and the demands for highly accurate models and real-time intelligent applications. The convergence of ...

What Is A Quantum Generative Model? A quantum generative model (QGM) is a type of machine learning algorithm that uses the principles of quantum mechanics to generate complex data distributions. In ...

Secure your MCP deployments with quantum-resistant integrity verification. Learn how to protect machine-to-machine model contexts from future quantum threats.

PALO ALTO, Calif.--(BUSINESS WIRE)--D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave” or the “Company”), a leader in quantum computing systems, software, and services and the world’s first commercial ...