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Anyon Computing's new open-source control plane integrates superconducting QPUs directly into standard AI data center fabrics using RDMA-over-Ethernet, enabling microsecond-latency loops essential for real-time quantum error correction and hybrid machine learning. The architecture treats quantum hardware as native co-processors alongside GPUs, while the underlying FPGA stack was autonomously verified by AI agents, demonstrating a practical convergence of classical and quantum compute stacks.
Anyon Computing Unveils Open-Source Real-Time Control Plane Powered by NVIDIA NVQLink
Anyon Computing has introduced an open-source, real-time quantum control system featuring NVIDIA NVQLink integration. This system unifies microwave control hardware and superconducting QPUs with CPUs and GPUs over a shared RDMA-over-Ethernet fabric, enabling microsecond execution loops vital for quantum error correction and hybrid quantum-classical machine learning. The initiative aims to standardize control layers across multi-QPU and multi-GPU supercomputing clusters. The post Anyon Computing Unveils Open-Source Real-Time Control Plane Powered by NVIDIA NVQLink appeared first on Quantum Computing Report.
Anyon Computing’s quantum supercomputer: the cryostat housing the QPU and the quantum control cluster (rendering). Superconducting quantum computer developer Anyon Computing (also known…
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