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AI & Enterprise

Nvidia tests technique to cut physical qubits needed for error correction by 90 percent

Nvidia carried out a 104-qubit quantum computing simulation on Germany’s Jupiter, Europe’s first exascale supercomputer, and tested a technique that could cut the physical-qubit resources required for error correction by 90 percent. The study focused on efficiently preparing magic states through Magic State Cultivation under noise conditions close to real quantum hardware. Nvidia used GH200-based systems and scaled workloads to 8,192 GPUs, with cuQuantum and CUDA-Q software platforms.

AI & Enterprise

Amazon open-sources TorchNeuron to run PyTorch code on Trainium without changes

Amazon said it will release TorchNeuron, a tool that lets developers run PyTorch code on its Trainium AI chips without modifying the code. It said developers can switch chips by changing a single setting and continue using existing testing, debugging and scaling tools. Amazon plans to open-source TorchNeuron at the PyTorch Conference North America on Oct. 20. It also said developer time, not chips, is a major cost for companies.

AI & Enterprise

Korea expands eligibility for national integrated bio big data project to those not covered by health checkups

South Korea will expand eligibility for the National Integrated Bio Big Data Project to include people not covered by national health checkups. Anyone who wants to participate will be able to join after completing required examination procedures. The Health Ministry and other agencies announced the changes on Oct. 15. The project collects donated health and genetic information for research, with plans for use in Korean sovereign medical AI, drug and device development and precision medicine.