SEEQC and NVIDIA have demonstrated an end-to-end fully digital quantum-classical interface protocol between a quantum processing unit (QPU) and a GPU. The interface achieves microsecond latency and end-to-end error correction, addressing critical bottlenecks in scaling quantum computing systems.
The interface leverages SEEQC’s Single Flux Quantum (SFQ) technology, which integrates quantum and classical computing functions onto a single digital chip. This design eliminates the need for long cables between cryogenically cooled qubits and room-temperature electronics, reducing latency and bandwidth requirements by 1000x. The demonstration utilized NVIDIA’s accelerated computing for real-time error correction decoding, highlighting the potential for scalable quantum systems.
The collaboration focuses on advancing heterogeneous computing, enabling seamless integration of quantum and classical systems for applications in AI, drug discovery, and other fields. The current interface uses PCIe for data transfer, with plans to develop a custom on-GPU protocol to support future scalability to million-qubit systems.
For more details, visit the original press release here.
March 20, 2025
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