NVIDIA opens CUDA-Q Logical for fault-tolerant quantum

NVIDIA has extended its CUDA-Q platform with an open-source layer for fault-tolerant quantum computing, adopted at launch by Fermilab, IQM, Infleqtion and Sandia.

NVIDIA opens CUDA-Q Logical for fault-tolerant quantum

NVIDIA has expanded its open-source CUDA-Q platform with CUDA-Q Logical, a compilation and orchestration layer for fault-tolerant quantum computing. The company detailed the release on September 14, 2026 at the World Congress on Quantum Software Solutions.

An era of logical qubits, standardised

CUDA-Q Logical gives researchers a programmable, verifiable framework for developing fault-tolerant applications in drug discovery, materials science and financial modelling. It streamlines the codesign of algorithms, error-correction codes, hardware architectures and QPUs — Fermilab says it cut the design cycle for a new fault-tolerant architecture from five months to three weeks.

Illustration of NVIDIA CUDA-Q Logical fault-tolerant stack

Partner ecosystem lines up at launch

Adopters at launch include Fermilab, Infleqtion, IQM Quantum Computers, QCDesign, Quantum Motion and Sandia National Laboratories. NVIDIA also announced QUOPS, a benchmarking framework co-developed with Google, IBM and Quantinuum. "Quantum computing is maturing into an era of logical qubits, and researchers need an open, customisable platform capable of representing all aspects of a fault-tolerant system," said Timothy Costa, VP and GM of quantum at NVIDIA.

The software side of the physical qubit race

The release complements this week's Anyon Computing NVQLink control-plane launch and slots alongside earlier partnerships such as the Altera–Riverlane error-correction integration and IQM's Lumi-IQ logical qubit rollout. Together they are building the missing software abstraction that fault-tolerant quantum needs to leave the lab.

Reporting based on coverage from NVIDIA, HPCwire and The Quantum Insider.

Category: Edge Computing

Tags: Open Source AI AI Models Quantum Computing AI Infrastructure Nvidia

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