On October 15, Google Quantum AI unveiled the first hardware implementation of magic‑state cultivation on its Willow superconducting chip, achieving a 40‑fold error reduction and 99.99 % logical fidelity for T‑states. A week later Nvidia demonstrated a 104‑qubit simulation of the same technique on Jupiter, Europe’s inaugural exascale system powered by GH200 GPUs, claiming a 90 % qubit‑usage reduction versus traditional methods. Magic‑state cultivation, introduced by Google in 2024, refines noisy states into high‑fidelity resources without discarding large volumes, [...]

Nvidia has led a $14 million Series B round for Indian AI‑inference startup Simplismart, valuing the four‑year‑old company at roughly $100 million. The Bengaluru firm offers software that automatically tailors AI model deployment to existing GPU infrastructure, allowing customers to balance speed, cost and performance and, in some cases, run workloads with fewer GPUs. Clients such as InVideo, HeyGen and cloud provider Yotta have reported significant reductions in GPU serving expenses, with InVideo cutting costs by 56 percent. Simplismart’s platform can [...]

Nvidia and Google announced breakthroughs in magic‑state cultivation, a technique that reduces the overhead of generating high‑fidelity non‑Clifford gates for universal quantum computers. Google’s Quantum AI team demonstrated the method on its Willow superconducting chip, achieving a 40‑fold error reduction and 99.99 % logical fidelity for T‑states. Days later Nvidia ran a 104‑qubit simulation of the same process on Jupiter, Europe’s first exascale machine powered by GH200 GPUs, claiming a 90 % qubit savings versus conventional distillation. Both companies [...]

A video of Nvidia CEO Jensen Huang playing with Microduck robots during his GTC Berlin keynote went viral, prompting a surge in pre‑orders that topped 20,000 units by the following day, according to Hugging Face co‑founder Clem Delangue. The open‑source Microducks, produced by Pollen Robotics—acquired by Hugging Face in 2025 and now part of Nvidia after its September purchase—respond to voice commands, walk, sit, fall asleep, and perform somersaults. They were trained in Nvidia’s RTX Spark AI stack, with simulations teaching the basic [...]

QCentroid launched Missions, a solver‑evaluation layer built on NVIDIA CUDA‑Q, during NVIDIA GTC Berlin. The platform uses autonomous AI agents to compare classical heuristics, GPU‑accelerated quantum‑inspired algorithms, and physical QPUs against defined business baselines such as runtime reduction or cost savings. Pilot tests on a treasury collateral‑allocation problem showed classical solvers timed out, while CUDA‑Q‑based quantum‑inspired and QAOA solvers achieved feasible solutions within 0.05% of the objective. Missions includes adversarial validation to verify speedups and recommends retaining [...]

NVIDIA announced a coordinated expansion of its global manufacturing network with partners Amkor Technology, IBIDEN, King Yuan Electronics, Samsung Electro‑Mechanics, Siliconware Precision Industries and Unimicron. The plan adds substrate capacity by 2.5 times over three years, triples interposer wafer output, doubles testing capability and multiplies optical‑engine production, with key milestones reaching full capacity between 2027 and 2028. NVIDIA is providing multibillion‑dollar reservation advances to secure space at IBIDEN’s Ono plant, to fund Samsung’s upgrades in Sejong and Busan, [...]

SEEQC announced simulation results showing that its chip‑based pre‑decoder, when combined with NVIDIA’s open‑source Ising AI models, cuts quantum error‑correction decoding latency and logical error rates by roughly 50 % versus using Ising alone. The architecture places the pre‑decoder close to the quantum processing unit (QPU) and links it to GPU‑accelerated compute via NVIDIA’s NVQLink, reducing data movement and enabling faster communication. Simulations incorporated realistic decoder latency at scale and used the SEEQC Digital Link to interface with [...]