CUDA-Q

March 16, 2026
in CUDA-Q, Releases
20 min read

CUDA-Q 0.14 Simplifies Application Development and Brings macOS Support

GTC26 sees the release of CUDA-Q 0.14 - delivering several important advancements for developers and researchers. Notably, it introduces the CUDA-Q Application Hub as a Brev Launchable, providing easy access and streamlined experimentation with sample applications across domains like quantum chemistry, AI, and optimization.

In addition, this release adds long-awaited macOS support, enabling efficient local development and prototyping through Python using a local CPU. Furthermore, CUDA-Q provides options to scale experiments by connecting to more supported quantum processing units (QPUs) and cloud simulators, allowing users to seamlessly transition from local testing to more advanced deployments.

CUDA-Q Application Hub Launchable

Fig 1: CUDA-Q Application Hub Launchable

March 16, 2026
in CUDA-Q
20 min read

CUDA-Q Accelerates Quantum Workloads at GTC 2026

Over the past year the quantum computing industry has shifted from qubit demonstrations to the work of building large-scale quantum-classical supercomputers. Central to that transition has been the intersection of quantum computing work with AI supercomputing. At GTC 2026, researchers and developers across the ecosystem are demonstrating how the NVIDIA CUDA-Q platform is bringing accelerated computing to the key workloads set to define quantum computing in 2026 and beyond.

March 16, 2026
in CUDA-Q, NVQLink
12 min read

Introducing cudaq-realtime for programming the Logical QPU

Fault-tolerant quantum computing demands a tight classical–quantum feedback loop in which QEC decoding and autocalibration occur throughout QPU operation. Our new library, cudaq-realtime, now available in the CUDA-Q 0.14 release, builds on NVQLink by giving developers a runtime API for microsecond-latency callbacks between GPUs and quantum controllers.