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 ...

D-Wave Quantum ( QBTS +2.37%) wants to lead the development of quantum computing with a unique, dual-platform approach. The ...

The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...

Denis Mandich, CTO of Qrypt, a quantum cybersecurity company, and founding member of the Quantum Economic Development ...

D-Wave Quantum Inc. is the only public pure-play quantum computing company generating revenue, focusing on quantum annealing for optimization rather than gate-model quantum computing. QBTS boasts real ...

Researchers have experimentally recreated another fundamental theoretical model from quantum physics, which goes back to the Nobel Prize laureate Werner Heisenberg. The basis for the successful ...