Superconducting quantum computer developer Anyon Computing (also known as Anyon Technologies) has unveiled an open-source real-time quantum control system integrated with NVIDIA NVQLink. Developed for enterprise data center deployments, the control plane treats microwave control hardware and connected superconducting quantum processing units (QPUs) as native co-processor nodes alongside classical CPUs and GPUs over a unified Remote Direct Memory Access (RDMA)-over-Ethernet fabric.
The system architecture enables microsecond-scale execution loops between qubit measurement and classical processing, satisfying operational latency constraints required for real-time quantum error correction (QEC) decoding, active QPU calibration, and hybrid quantum-classical machine learning. Native integration with NVIDIA CUDA-Q allows classical and quantum code instructions to execute within a shared host process, bypassing per-call recompilation bottlenecks. Furthermore, Anyon stated that the underlying FPGA control stack was engineered and verified autonomously using AI agents through hardware-in-the-loop simulation loops.
| [ Anyon Computing NVQLink Control Plane Specifications ] | ||
|---|---|---|
| System Layer | Hardware & Fabric Interconnect | Control & Execution Workloads |
| Interconnect Architecture | • NVIDIA NVQLink Low-Latency Link • Switched RDMA-over-Ethernet Fabric | • Co-Processor Node Mapping (CPU/GPU/QPU) • Scalable Phase-Locked Multi-Controller Mesh |
| Software & Compilation Stack | • Open-Source Control Plane • Native NVIDIA CUDA-Q, QIR, & OpenQASM | • Zero-Recompilation Microsecond Loops • Shared Memory Space for AI/QPU Workloads |
| Operational Targets | • AI Agent-Engineered FPGA Firmware • Hardware-in-the-Loop Autonomous Verification | • Real-Time QEC Decoding & Readout Classification • Adaptive QPU Calibration & Reinforcement Learning |
The control plane expands Anyon’s deployment stack following the installation of its superconducting QPU inside a commercial AI data center paired with NVIDIA GPUs. By open-sourcing the control system, the company aims to establish a standardized, commodity-fabric control layer across multi-QPU and multi-GPU supercomputing clusters.
Review the official news release via Anyon Computing here, examine our previous analysis of NVIDIA’s NVQLink Uniting the Quantum Ecosystem here, and read our prior coverage of Anyon Technologies Partnering with NVIDIA on Hybrid Compute Stack Integration here.
September 14, 2026
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