Quantum Computing Reaches an Inflection Point With NVIDIA NVQLink | GTC 2026

2026-03-20 · Source: NVIDIA · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

NVIDIA NVQLink serves as a critical interconnect technology enabling communication between quantum hardware and classical GPU supercomputers. Unveiled at GTC in San Jose, NVQLink is essential for transforming current qubits into functional quantum computers, as quantum applications are inherently hybrid, requiring interaction with both quantum and conventional computing. The technology facilitates control of quantum processors and supports high-performance data exchange, crucial for fields like drug design, materials discovery, optimization, and financial services. NVIDIA has made NVQLink broadly accessible by releasing CUDA-Q Realtime, leading to its adoption by supercomputing centers, quantum researchers, commercial data centers, and GPU hardware OEMs globally.

Key takeaway

For AI Scientists and Research Scientists developing quantum applications, understanding NVQLink's role is crucial. Your hybrid quantum-classical workflows will benefit from this high-performance interconnect, especially with the release of CUDA-Q Realtime, which makes the technology more accessible for integrating quantum processors with GPU supercomputing. Consider how NVQLink can enhance the control and data exchange performance in your experimental setups.

Key insights

NVQLink bridges quantum and classical computing, essential for hybrid quantum applications and practical quantum computer development.

Principles

• Quantum applications are fundamentally hybrid.
• GPU supercomputers are vital for quantum utility.

Method

NVQLink provides a high-performance interconnect for controlling quantum processors and enabling hybrid quantum-classical application execution, now available via CUDA-Q Realtime.

In practice

• Use NVQLink for drug design applications.
• Apply NVQLink in materials discovery research.

Topics

• NVIDIA NVQLink
• Quantum Computing
• GPU Supercomputing
• Hybrid Computing
• Quantum Applications

Best for: AI Scientist, Research Scientist, AI Researcher, AI Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA.