HiMA: Hierarchical Quantum Microarchitecture for Qubit-Scaling and Quantum Process-Level Parallelism
Qi Zhou, Zi-Hao Mei, Han-Qing Shi, Liang-Liang Guo, Xiao-Yan Yang,, Yun-Jie Wang, Xiao-Fan Xu, Cheng Xue, Wei-Cheng Kong, Jun-Chao Wang, Yu-Chun, Wu, Zhao-Yun Chen, Guo-Ping Guo

TL;DR
HiMA introduces a hierarchical quantum microarchitecture that enhances qubit scalability and process-level parallelism, significantly improving control system efficiency and achieving record CLOPS in a 72-qubit superconducting quantum processor.
Contribution
This paper presents a novel hierarchical microarchitecture for quantum control, enabling scalable qubit management and high parallelism, with implementation on a large superconducting quantum processor.
Findings
Achieved up to 4.89x speedup with 5-process parallelism.
Reached a record CLOPS of 43,680 across public platforms.
Demonstrated scalability to 6144 qubits with three-layer cascading.
Abstract
Quantum computing holds immense potential for addressing a myriad of intricate challenges, which is significantly amplified when scaled to thousands of qubits. However, a major challenge lies in developing an efficient and scalable quantum control system. To address this, we propose a novel Hierarchical MicroArchitecture (HiMA) designed to facilitate qubit scaling and exploit quantum process-level parallelism. This microarchitecture is based on three core elements: (i) discrete qubit-level drive and readout, (ii) a process-based hierarchical trigger mechanism, and (iii) multiprocessing with a staggered triggering technique to enable efficient quantum process-level parallelism. We implement HiMA as a control system for a 72-qubit tunable superconducting quantum processing unit, serving a public quantum cloud computing platform, which is capable of expanding to 6144 qubits through…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum and electron transport phenomena · Quantum Information and Cryptography
