NVIDIA Advances Hybrid Quantum-AI Computing Using Keysight Quantum Control System
Case Studies
Keysight is working with NVIDIA to advance hybrid quantum-AI computing through high-performance control systems and AI-driven infrastructure. This work supports the development of NVIDIA NVQLink, an open architecture for low-latency connections between quantum processors and AI supercomputing. NVIDIA CUDA-Q is part of the hybrid quantum computing workflow referenced in the collaboration.
In this context, Keysight’s contribution is focused on high-performance control systems and the quantum control capabilities needed to support hybrid computing development. The work explores how quantum control systems and classical accelerators can be used together as the industry advances toward more integrated quantum, artificial intelligence, and high-performance computing environments.
Keysight’s work with NVIDIA demonstrates how quantum control systems can support emerging hybrid quantum-AI computing architectures. The collaboration highlights a path for combining high-performance control systems with AI-driven infrastructure to support quantum research and hybrid compute development.
The Keysight Quantum Control System is central to this story because it provides the control and readout capabilities required for quantum experimentation. Its support for direct digital control, acquisition of microwave, baseband, and digital signals, custom pulse sequences, and synchronized system channels addresses core requirements for quantum device development.