Nvidia (NASDAQ: NVDA) announced an expansion of its open-source CUDA-Q platform with a new orchestration layer called CUDA-Q Logical, designed to help researchers develop and test applications for fault-tolerant quantum computers. The announcement was made Sept. 14, 2026, at IEEE Quantum Week in Toronto.

CUDA-Q Logical allows researchers to design and configure components required for fault-tolerant quantum computing, including algorithms, error-correction codes and hardware architectures, and to switch between configurations to identify optimal setups using logical qubits. The software is available on GitHub.

Fermi National Accelerator Laboratory used CUDA-Q Logical to reduce fault-tolerant algorithm development time from approximately five months to three weeks, a roughly sevenfold speedup. "Using CUDA-Q Logical, our team explored combinations of these resources in just three weeks, compared with what would have typically taken about five months of building specialized infrastructure," said Anna Grassellino, chief technology officer at Fermilab.

Separately, Iceberg Quantum used CUDA-Q Logical to model a fault-tolerant architecture for Diraq's silicon-based qubits, finding that 1,000 logical qubits could be produced with approximately 150,000 physical qubits, roughly 10 times fewer than Diraq's prior estimates.

Sandia National Laboratories developed a new benchmark called QUOPS, which measures the progress of quantum computing systems toward utility-scale applications. A reference implementation of QUOPS is now available within CUDA-Q. Sandia reported initial QUOPS benchmarks for quantum processing units from Google, IBM and Quantinuum in a preprint released ahead of IEEE Quantum Week.

Other organizations reported to be using CUDA-Q Logical include Infleqtion, IQM Quantum Computers, QCDesign, Quantum Motion and Sandia National Laboratories. Additional companies integrating with Nvidia's broader quantum platform include Anyon Computing, Quandela and Quantum Machines, each working with Nvidia's NVQLink system architecture.

IonQ announced progress on a quantum generative AI framework using Nvidia accelerated computing, and Phasecraft is using Nvidia's cuQuantum library to generate a molecular database for quantum computing applications.