QCentroid Unveils “Missions” on NVIDIA CUDA-Q to Benchmark Classical, Quantum-Inspired, and QPU Workloads
quantumcomputingreport.com

QCentroid Unveils “Missions” on NVIDIA CUDA-Q to Benchmark Classical, Quantum-Inspired, and QPU Workloads

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 and Supply Chain Partners Expand Capacity to Accelerate AI Infrastructure Buildout
semiconductor-digest.com

NVIDIA and Supply Chain Partners Expand Capacity to Accelerate AI Infrastructure Buildout

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 Combines Chip-Based Processing With NVIDIA AI to Improve Quantum Error Correction
thequantuminsider.com

SEEQC Combines Chip-Based Processing With NVIDIA AI to Improve Quantum Error Correction

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 [...]
Qblox Integrates NVIDIA DGX Spark With Quantum System Controller
thequantuminsider.com

Qblox Integrates NVIDIA DGX Spark With Quantum System Controller

Qblox has integrated NVIDIA’s DGX Spark AI supercomputer with its quantum system controller via the NVQLink interconnect, achieving measured round‑trip latencies under 4.0 µs on an RTX PRO 6000 Blackwell GPU and under 7.2 µs on the DGX Spark platform. The link brings GPU acceleration into the real‑time control loop, enabling hybrid quantum‑classical workloads such as GPU‑accelerated qubit calibration and on‑the‑fly error‑correction decoding. Developers can write code with NVIDIA CUDA‑Q on a desktop and seamlessly migrate it to data‑center GPUs as quantum processors [...]
NVIDIA and Jülich Run 104-Qubit Magic State Cultivation Simulation on JUPITER Supercomputer
quantumcomputingreport.com

NVIDIA and Jülich Run 104-Qubit Magic State Cultivation Simulation on JUPITER Supercomputer

NVIDIA and the Jülich Supercomputing Centre executed a 104‑qubit fault‑tolerant quantum simulation on JUPITER, Europe’s first exascale machine, during GTC Berlin 2026. The simulation modeled magic‑state cultivation under realistic hardware noise, validating a protocol that cuts physical qubit overhead by up to 90% versus traditional cascade distillation. The work, detailed in NVIDIA’s technical report, complements Google Quantum AI’s cultivation theory and demonstrates the CUDA‑Q platform’s scalability across European supercomputing hubs. It marks the first exascale‑level validation of [...]
Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs
therobotreport.com

Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs

PNY Technologies announced the availability of NVIDIA RTX PRO 6000 Blackwell Workstation Editions, including a Max‑Q variant that can house up to four GPUs delivering 14.2 petaflops of AI compute and 384 GB of GPU memory. The systems target AI training, inference, data‑science preprocessing, and physical‑AI workloads such as robotics simulation, offering local processing power comparable to data‑center resources. Integrated with NVIDIA’s software stack—CUDA‑X, RAPIDS, NGC, AI Workbench, and Blueprints—the workstations enable rapid prototyping, fine‑tuning of generative models, and seamless scaling [...]
NVIDIA Runs Simulation of Fault-Tolerant Quantum Computing at Jülich Supercomputing Centre
thequantuminsider.com

NVIDIA Runs Simulation of Fault-Tolerant Quantum Computing at Jülich Supercomputing Centre

NVIDIA used Europe’s JUPITER exascale supercomputer to simulate a 104‑qubit fault‑tolerant quantum processor, focusing on magic‑state cultivation under realistic hardware noise. The run employed 8,192 GPUs on NVIDIA GH200 superchips and its quantum‑computing software, achieving the largest comprehensive fault‑tolerant simulation to date. Results indicate the studied approach could cut the number of qubits required for magic‑state production by roughly 90 % versus earlier techniques. Researchers say the high‑fidelity data will let designers evaluate processor architectures before hardware is [...]