New updates have been reported about Qblox.
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Qblox is deepening its role in hybrid quantum-classical computing by integrating its quantum control stacks with NVIDIA’s NVQLink via the cudaq-realtime API, creating a direct, high-speed bridge between GPUs and full-stack quantum systems. The architecture, first outlined in a 2025 collaboration, is now designed to cut latency to a few microseconds, directly addressing communication bottlenecks in Variational Quantum Algorithms and other feedback-intensive workloads.
By embedding real-time FPGA-to-GPU connectivity into its control electronics, Qblox enables Oxford Quantum Circuits’ processors to operate in tighter synchrony with accelerated classical hardware, supporting more efficient R&D, calibration, quantum error correction, and early utility-scale use cases in finance, chemistry, materials, and optimization. Qblox’s CEO, Niels Bultink, positions this low-latency integration as foundational for scalable, utility-driven quantum systems, while NVIDIA highlights Qblox as a provider of the control-layer infrastructure needed for future quantum–GPU supercomputing architectures. Qblox is showcasing this real-time GPU-to-quantum integration at NVIDIA GTC, using the event to engage customers and partners on next-generation hybrid quantum-classical infrastructure and its implications for commercial quantum deployment.