NVIDIA CUDA-Q The NVIDIA CUDA-Q open source platform now includes CUDA-Q Logical, an orchestration layer that provides a programmable, verifiable approach to developing useful applications for ...

Nvidia Corp. said today it’s tackling one of the major headaches for developers of quantum applications with the launch of a ...

Spectral Compute CEO argues that preserving the programming model while targeting multiple accelerators could make hardware ...

Nvidia adds CUDA-Q Logical to its open-source quantum computing platform, enabling logical qubit operations and quantum error ...

CUDA-Q Logical enables researchers to build and coordinate quantum applications that use logical qubits to overcome critical ...

In September 2026, a quiet yet definitive tectonic shift occurred in the world of GPU programming. NVIDIA announced a groundbreaking toolchain that allows GPU kernels to be written directly in Rust ...

Quantum-classical computing applications are rapidly evolving, with the CUDA Quantum platform playing an instrumental role in this development. The open-source platform is designed to facilitate the ...

NVIDIA (NVDA) launches CUDA-Q Logical for fault-tolerant quantum computing and partners with Qedma for error mitigation, now ...

Qedma Quantum Computing, a pioneer in quantum error reduction software, today announced an integration of QESEM software with the NVIDIA CUDA-Q platform. Qedma's integration with CUDA-Q is currently ...

Nvidia Corporation's parallel computing platform, CUDA, is a key factor in the company's competitive advantage, with exponential growth showcased at COMPUTEX 2023, boasting over four million ...

I found good help and advice here last time so I figured I would ask about something else. To reiterate what I do, I do pattern recognition (LDA, to be exact, but a heavily modified version of it).

NVIDIA has added an orchestration layer and benchmark tools to help researchers develop practical quantum computing systems.