NVIDIA Quantum
Type: Platform Tags: NVIDIA, quantum computing, accelerated quantum supercomputing, QPU, CUDA-Q, NVQLink, CUDA-QX Related: CUDA-Q, CUDA-QX, CUDA-Q-Realtime, NVIDIA-NVQLink, cuQuantum, cuStateVec, cuTensorNet, cuDensityMat, cuPauliProp, cuStabilizer, cuQuantum-Appliance, cuPQC, NVIDIA-Ising, Ising-Calibration-1-35B-A3B, Ising-Decoding, NVIDIA-DGX-Quantum, NVIDIA-Quantum-Cloud, NVIDIA-Accelerated-Quantum-Center, NVIDIA-DGX-Cloud, NVIDIA-GB200-NVL72, NVIDIA-Quantum-InfiniBand Sources: https://www.nvidia.com/en-us/solutions/quantum-computing/, https://docs.nvidia.com/cuda/cupqc/index.html Last Updated: 2026-04-29
Summary
NVIDIA Quantum is NVIDIA’s accelerated quantum computing platform area. It frames useful quantum computing as a hybrid system problem: quantum processing units need to be integrated with AI supercomputers, GPU acceleration, realtime control, simulation, and programming tools. The current NVIDIA Quantum page centers NVIDIA-NVQLink, CUDA-Q, CUDA-QX, cuQuantum, cuPQC, NVIDIA-Quantum-Cloud, and the NVIDIA-Accelerated-Quantum-Center as the main current solution surfaces.
Detail
Purpose
NVIDIA Quantum exists because practical quantum computing is not only a QPU problem. Useful quantum systems require classical supercomputing for simulation, calibration, quantum error correction, hybrid algorithms, and realtime feedback loops. NVIDIA’s position is that QPUs should be coupled to GPU-accelerated AI/HPC systems through CUDA-Q software, NVQLink realtime integration, and quantum-specific libraries.
Current solution map
- NVIDIA-NVQLink - open platform architecture for tightly integrating quantum processors with GPU-accelerated systems.
- CUDA-Q - programming model and toolchain for hybrid CPU, GPU, and QPU workflows.
- CUDA-QX - CUDA-Q library collection for QEC and quantum-classical solvers.
- CUDA-Q-Realtime - realtime CUDA-Q networking/runtime API layer used with NVQLink.
- cuQuantum - low-level GPU-accelerated quantum circuit simulation libraries and appliance, including cuStateVec, cuTensorNet, cuDensityMat, cuPauliProp, cuStabilizer, and cuQuantum-Appliance.
- cuPQC - CUDA cryptography SDK for post-quantum public-key algorithms and GPU-side hash/Merkle operations.
- NVIDIA-Ising - open AI model family for quantum processor calibration and QEC pre-decoding.
- Ising-Calibration-1-35B-A3B - NVIDIA quantum calibration VLM for analyzing quantum calibration experiment plots.
- Ising-Decoding - NVIDIA Ising predecoder models and training framework for quantum error correction.
- NVIDIA-Quantum-Cloud - API/cloud access path for running CUDA-Q projects on NVIDIA GPU systems.
- NVIDIA-Accelerated-Quantum-Center - NVAQC facility for integrating partner QPUs with GB200 NVL72-class AI supercomputing.
Naming note
Do not confuse this quantum-computing platform page with NVIDIA-Quantum-InfiniBand, which is NVIDIA’s InfiniBand switch/system line for AI and HPC networking.
Connections
- CUDA-Q - primary programming platform for quantum-classical GPU workflows.
- CUDA-QX - current CUDA-Q library collection for QEC and solver workflows.
- CUDA-Q-Realtime - realtime API path introduced for NVQLink workflows.
- NVIDIA-NVQLink - current architecture for quantum-to-GPU realtime integration.
- cuQuantum - simulation library family within the NVIDIA Quantum solution area.
- cuStateVec, cuTensorNet, cuDensityMat, cuPauliProp, and cuStabilizer - current cuQuantum component libraries.
- cuQuantum-Appliance - containerized cuQuantum simulation workflow for Qiskit and Cirq.
- cuPQC - quantum-safe cryptography SDK surfaced from the same NVIDIA Quantum page, with current SDK docs covering cuPQC-PK and cuPQC-Hash.
- NVIDIA-Ising - family-level page for NVIDIA’s open quantum AI models.
- Ising-Calibration-1-35B-A3B - NVIDIA Ising-family model endpoint for quantum calibration plot understanding.
- Ising-Decoding - NVIDIA Ising-family model/training framework for QEC pre-decoding.
- NVIDIA-DGX-Quantum - earlier/reference DGX Quantum identity now redirected toward NVQLink in current en-US navigation.
- NVIDIA-Quantum-Cloud - cloud/API access path for CUDA-Q projects.
- NVIDIA-Accelerated-Quantum-Center - research facility built around accelerated quantum supercomputing.
- NVIDIA-GB200-NVL72 - GB200 NVL72 systems are used in NVAQC-style quantum acceleration contexts.
Source Excerpts
- NVIDIA’s Quantum page frames accelerated quantum supercomputing as integrating QPUs with state-of-the-art AI supercomputers and presents NVQLink, CUDA-QX, CUDA-Q, cuQuantum, cuPQC, and Quantum Cloud as solution components.