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IonQ has validated that complex, real-time quantum error correction decoding for MegaQuOp-scale workloads can run efficiently on a single commodity Apple M4 Max CPU without specialized hardware like FPGAs or ASICs. This achievement significantly lowers the barrier to entry for scalable trapped-ion systems by demonstrating that high-performance software pipelines can handle millions of logical operations with minimal latency. The approach offers a practical pathway for integrating quantum control stacks into standard server environments, reducing costs and simplifying deployment architectures.
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IonQ Demonstrates Real-Time QEC Decoding at MegaQuOp Scale on a Single Apple M4 Max CPU

Quantum Computing Report2 min read

IonQ quantum information researchers Min Ye, Andrii Maksymov, and Nicolas Delfosse have published research on arXiv (arXiv:2608.25027) detailing an end-to-end real-time Quantum Error Correction (QEC) decoding pipeline for large-scale trapped-ion quantum computers. Executed entirely on a single off-the-shelf Apple M4 Max CPU (12 cores used), the decoding stack processed MegaQuOp-scale workloads featuring up to 408 [...] The post IonQ Demonstrates Real-Time QEC Decoding at MegaQuOp Scale on a Single Apple M4 Max CPU appeared first on Quantum Computing Report.

IonQ quantum information researchers Min Ye, Andrii Maksymov, and Nicolas Delfosse have published research on arXiv (arXiv:2608.25027) detailing an end-to-end real-time Quantum Error Correction (QEC) decoding pipeline for large-scale trapped-ion quantum computers. Executed entirely on a single off-the-shelf Apple M4 Max…

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