Qblox Advances Hybrid Quantum Computing with Integration of NVIDIA DGX Spark leveraging NVIDIA NVQLink

Qblox Advances Hybrid Quantum Computing with Integration of NVIDIA DGX Spark leveraging NVIDIA NVQLink

By PRNewswire
Publication Date: 2026-10-23 08:22:00

The Qblox Cluster has been integrated with multiple NVIDIA GPUs, enabling real-time control for hybrid quantum-classical computing with roundtrip latency below 4.0 µs on NVIDIA RTX PRO 6000 Blackwell and below 7.2 µs on NVIDIA DGX Spark.

Qblox, a leader in scalable quantum control architecture, announced the integration of NVIDIA DGX Spark with a quantum system controller using NVIDIA NVQLink, achieving measured roundtrip latency below 4.0 µs on NVIDIA RTX PRO 6000 Blackwell and below 7.2 µs on NVIDIA DGX Spark. This enables Qblox to support real-time hybrid quantum-classical applications, with a single desktop system that can host quantum, AI, and simulation workloads via NVIDIA CUDA-Q. The same code then carries over to data center graphics processing unit (GPU) servers as systems scale.

The integration brings GPU acceleration into the real-time control loop, a key building block for scaling quantum systems to support logical qubits. Qblox’s Q1 sequence processors and LINQ deliver the low latency and high throughput the Qblox Cluster needs to work hand in hand with the GPU. GPU-accelerated calibration routines update qubit parameters while experiments run, instead of between them. For quantum error correction, syndrome data reaches GPU-based decoders with low latency, helping identify and correct errors in real time.

Also Read: AiThority Interview with Gou Rao, co-founder and CEO at NeuBird AI

The milestone builds on the previous work from Qblox with…