Aegiq Uses NVIDIA cuQuantum to Develop Quantum-Ready CFD Methods
Computational fluid dynamics has become one of the essential tools of modern engineering and science. It shapes the design of aircraft and jet engines, informs the aerodynamics of...
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Computational fluid dynamics has become one of the essential tools of modern engineering and science. It shapes the design of aircraft and jet engines, informs the aerodynamics of...
Barcelona-based quantum developer Qilimanjaro Quantum Tech has released QiliSDK 0.2.0, an open-source Python framework designed to bridge the structural divide between digital gate...
Insider Brief PRESS RELEASE — FirstQFM, a pioneer in machine learning foundation models for quantum computing, announces a significant milestone in the commercial application of qu...
The Eclipse Qrisp developer community has integrated Eclipse Qrisp with the NVIDIA CUDA-Q platform for hybrid quantum-classical computing. Originally initiated by the Fraunhofer In...
Quantum networking company Welinq has integrated its distributed quantum compiler, araQne, with the NVIDIA CUDA-Q hybrid quantum-classical software platform. Engineered to partitio...
The financial sector depends heavily on resolving dense computational problems associated with portfolio risk management and asset pricing. As portfolios expand and market conditio...
FirstQFM QRC platform overview Stockholm-based startup FirstQFM has unveiled a machine learning platform that utilizes patent-pending quantum foundation models (QFMs) to optimize Q...
Quantum cloud platform qBraid has announced a series of infrastructure expansions and algorithmic breakthroughs aimed at consolidating its hybrid quantum-classical development pipe...
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Most engineers see quantization as shrinking vectors. TurboQuant asks a harder question: can you shrink them without breaking their geometry? The post Qdrant TurboQuant Explained:...
Как квантование ломает function-calling у LLM? Собрал бенчмарк QuantCall, протестировав модели на 4 ГБ VRAM. Главный инсайт: устойчивость к квантам зависит не от размера, а от семе...
NVIDIA’s Quantum Computing Division has introduced Ising, an open-source model family designed to deploy neural-network-driven control layers for fault-tolerant quantum error corre...
Insider Brief A team of researchers has developed a quantum neural network training framework that reduces the cost of calculating gradients during training, one of the most signif...
Real benchmarks, the q4_0 cache trick, and how I made a local LLM write code in my team’s patterns — on a single 24GB GPU.Continue reading on Coding Nexus »
NVIDIA’s CUDA 13.3 targets the divisions between Python and C++ engineers inside enterprise software teams building AI applications. Python teams often build fast prototypes, while...
Insider Brief PRESS RELEASE — Quandela today announced that it has experimentally validated a low-latency integration path between photonic quantum processors and NVIDIA AI infr...
NVIDIA on Tuesday released CUDA 13.3 as another significant advancement for their unified GPU programming stack for NVIDIA hardware...
CIQ announced the release of Fuzzball 4.0. The latest version is built to meet the production requirements of national laboratories
Insider Brief PRESS RELEASE — Classiq and Pontificia Universidad Católica de Chile (UC Chile) today announced a joint research project to develop hybrid quantum algorithms for biom...
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