{"id":34114,"date":"2025-11-19T09:22:16","date_gmt":"2025-11-19T09:22:16","guid":{"rendered":"https:\/\/metaverseplanet.net\/blog\/?p=34114"},"modified":"2026-01-05T13:29:46","modified_gmt":"2026-01-05T13:29:46","slug":"nvidia-merges-supercomputers-and-quantum-computers-with-nvqlink","status":"publish","type":"post","link":"https:\/\/metaverseplanet.net\/blog\/nvidia-merges-supercomputers-and-quantum-computers-with-nvqlink\/","title":{"rendered":"Nvidia Merges Supercomputers and Quantum Computers with NVQLink"},"content":{"rendered":"\n

Nvidia<\/strong> has introduced the NVQLink platform<\/strong>, which could revolutionize quantum computers<\/strong>. Thanks to NVQLink<\/strong>, classical supercomputers<\/strong> and quantum computers<\/strong> will be able to work together.<\/p>\n\n\n\n

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Although quantum computers<\/a><\/em><\/strong> have made great progress in the last decade, their practical use cases<\/strong> are still quite limited today. On the other hand, classical supercomputers<\/strong>, despite their power to process massive data sets, struggle with certain problems that require quantum advantage<\/strong>. This creates a need for hybrid architectures<\/strong> that combine the power of both. It seems Nvidia<\/strong> will be the company to meet this need. The new NVQLink platform<\/strong>, announced by NVIDIA<\/a><\/em><\/strong> at the International High Performance Computer Fair<\/strong>, aims to be the solution to this search for hybrid architecture<\/strong>.<\/p>\n\n\n\n

Described by Nvidia CEO Jensen Huang<\/strong> as the “Rosetta Stone<\/strong> connecting quantum and classical supercomputers,” NVQLink<\/strong> is designed as an open system architecture<\/strong> that enables quantum processors<\/strong> to communicate directly with high-performance GPUs<\/strong>. More than a dozen supercomputing centers worldwide are already preparing to adopt this architecture. One of the most notable integrations of the platform will be with Quantinuum<\/strong>‘s newly announced Helios quantum computer<\/strong>. Quantinuum<\/strong> announced that it will support hybrid workflows<\/strong> via NVQLink<\/strong> with NVIDIA GPUs<\/strong> in all its future systems.<\/p>\n\n\n\n

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Nvidia-Quantinuum Collaboration Achieves Record Speed in Error Correction<\/strong> Nvidia<\/strong> and Quantinuum<\/strong> have not only signed a new partnership; they also shared one of the most impressive technical results in quantum error correction<\/strong> to date. By connecting NVIDIA GH200 Grace Hopper processors<\/strong> to the Helios system<\/strong>, the two teams achieved real-time decoding of scalable quantum LDPC (low-density parity-check)<\/strong> codes. During this process, a response time of 67 microseconds<\/strong> was achieved, falling well below the 2-millisecond threshold<\/strong> required in the error correction loop<\/strong>. This was recorded as the fastest real-time error correction performance<\/strong> the field has reached so far. Additionally, the NVIDIA GPU-based decoder<\/strong> integrated into the Helios control engine<\/strong> increased the logical accuracy<\/strong> of operations by over 3% in the experiments performed. For example, in a scenario where eight logical qubits<\/strong> were encoded into 30 physical qubits<\/strong> using Bring’s code<\/strong>, the error rate dropped from 4.95% to 0.925% after three correction rounds. This signifies an approximate 5.4-fold improvement<\/strong> and is considered an important threshold for quantum computers<\/strong> to approach practical applications<\/strong>.<\/p>\n\n\n\n

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Behind the performance gains lies the technical infrastructure<\/strong> offered by NVQLink<\/strong>. The system offers a total of 40 petaflops of processing power<\/strong> at FP4 precision<\/strong> used in AI operations<\/strong>; this means 40 quadrillion operations per second, allowing GPUs<\/strong> to process data from the quantum computer<\/strong> almost instantly. Furthermore, the data line<\/strong> between the GPU<\/strong> and the quantum processor (QPU)<\/strong> has a very high bandwidth<\/strong> of 400 gigabits\/second<\/strong>. This makes it possible to transfer massive amounts of data between the two systems very quickly. The latency<\/strong> in data transmission is under 4 microseconds<\/strong>, meaning less than four millionths of a second. This level of low latency<\/strong> is of critical importance for applications requiring millisecond precision, such as real-time error correction<\/strong>.<\/p>\n\n\n\n

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Additionally, NVQLink<\/strong>‘s use of RDMA over Converged Ethernet<\/strong> (a type of advanced network technology providing direct memory access) allows researchers to easily scale<\/strong> classical GPU resources<\/strong> as the system grows. In other words, as quantum processors<\/strong> expand with more qubits<\/strong> and complex circuits, the GPU power<\/strong> on the classical computer side can be increased at the same rate. Thus, the hybrid quantum-classical architecture<\/strong> continues to work without losing performance as the hardware scales.<\/p>\n\n\n\n

The results demonstrated by Nvidia<\/strong> and Quantinuum<\/strong> show that this hybrid approach<\/strong>, which remained in the theoretical stage for a long time, is now ready to move out of laboratory experiments and integrate into enterprise and scientific infrastructures<\/strong>. If this trend continues at the same pace, the process of quantum computers<\/strong> generating practical value<\/strong> may happen much sooner than expected.<\/p>\n\n\n\n

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