Quantum Circuits, Inc., announced work with NVIDIA technology integrating NVIDIA CUDA-Q programming capabilities into its ...

Over at the Nvidia Developer Zone, Daniel Armyr and Dan Doherty from MathWorks describe how you can use MATLAB to support your development of CUDA C and C++ kernels. While algorithms written for the ...

QCI's technology is based on superconducting dual-track qubits, a design that can natively detect erasure errors, aiming to achieve more efficient scalability and reduce overhead for large-scale ...

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Nvidia has largely dominated the artificial intelligence (AI) narrative over the last few years thanks to its combination of leading chips and software.

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...