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英伟达研究人员在JUPITER超级计算机上使用8192块GPU，模拟了104量子比特容错计算，并在考虑硬件噪声的条件下验证“魔态培育”；报道称，该方案比以往方法少用90%的物理量子比特。谷歌量子AI团队此前已在Willow芯片上实现该方案，但表示仍需更大规模验证；同日，Quantinuum也宣称其Helios机器刷新了逻辑保真度纪录。
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Nvidia researchers used 8,192 GPUs on the JUPITER supercomputer to simulate 104-qubit fault-tolerant computing and validate Magic State Cultivation under hardware noise. The report says the approach uses 90% fewer physical qubits than previous methods. Google Quantum AI had earlier implemented it on its Willow chip but said larger-scale validation was still needed; on the same day, Quantinuum also claimed record logical fidelity for its Helios machine.
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Nvidia researchers used the European supercomputer JUPITER to simulate 104-qubit fault-tolerant quantum computing and test a method called “magic state cultivation.” Nvidia says the approach requires 90% fewer physical qubits than traditional magic state distillation. This was a simulation on a classical supercomputer, not a working fault-tolerant quantum computer.
同一事件，精选展示《英伟达完成104量子比特容错计算模拟，称新方案可减少90%物理比特》Nvidia researchers used 8,192 GPUs on the JUPITER supercomputer to simulate 104-qubit fault-tolerant computing and validate Magic State Cultivation under hardware noise. The report says the approach uses 90% fewer physical qubits than previous methods. Google Quantum AI had earlier implemented it on its Willow chip but said larger-scale validation was still needed; on the same day, Quantinuum also claimed record logical fidelity for its Helios machine.