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IBM、AMD和橡树岭国家实验室推出量子纠错平台IBM, AMD, Oak Ridge National Laboratory launch quantum error correction platform

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这张2026年6月11日拍摄的插图中可以看到AMD的标志。路透社/达多·鲁维奇/插图/资料照片AMD logo is seen in this illustration taken June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo

IBM、AMD和橡树岭国家实验室(ORNL)周四推出了一个联合平台,旨在解决量子计算机容易出错的问题。

IBM , AMD and Oak Ridge National Laboratory (ORNL) on Thursday launched a joint platform aimed at solving quantum computing machines' tendency to make errors.

量子计算机利用亚原子粒子的行为来解决传统机器无法解决的问题。然而,它们的计算极其脆弱,容易出错。以下是更多细节:新平台将IBM的量子计算机(包括其最强大的量子芯片——120量子位的Nighthawk)与由AMD的Instinct图形处理器和EPYC中央处理器驱动的ORNL Umbra超级计算机相结合。量子位是量子计算机中信息的基本单位。

Quantum computers harness the behavior of subatomic particles to solve problems conventional machines cannot. However, their calculations are extremely fragile and prone to mistakes. Here are some more details: The new platform pairs IBM's quantum computers, including its most powerful quantum chip, the 120-qubit Nighthawk, with ORNL's Umbra supercomputer powered by AMD's Instinct graphics processors and EPYC central processors Qubits are the fundamental units of information in a quantum computer Together, the systems let researchers test ways to spot and fix quantum errors, combining classical and quantum computing resources to advance error correction The effort supports a US Department of Energy goal to build a scientifically useful quantum computer by late 2028.

这两个系统共同让研究人员测试发现和修复量子错误的方法,结合经典计算和量子计算资源,推动纠错技术的发展。这项工作支持美国能源部的目标,即在2028年底前建造一台具有科学实用价值的量子计算机。IBM表示,目前的实验距离该目标还差约230倍。该平台将连接到田纳西州的橡树岭领导级计算设施,让研究人员研究量子计算和经典计算资源之间更紧密的集成。

5月,IBM表示,它计划在量子计算领域投资超过100亿美元,目标是在2029年建造第一台大规模量子计算机。

IBM said ongoing experiments are roughly 230 times short of that target The platform will connect to the Oak Ridge Leadership Computing Facility in Tennessee, allowing researchers to study tighter integration between quantum and classical computing resources In May, IBM said it plans to invest more than $10 billion in quantum computing as it aims to build the first large-scale quantum computer by 2029

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