to enhance the quantum co-process unit's executing efficiency, we have proposed the dynamic schedule technique of quantum instruction, which references the idea in classic processor 该方案中使用了量子指令动态调度技术,有效提高了量子计算处理器的执行效率。
in the 2nd and 3rd year, we will keep on developing static / dynamic scheduling techniques for hierarchical systems and design multiprocessing supporting mechanisms such as data prefetch and synchronization primitives 在往后二年中,我们将持续进行静态/动态排程之研究,并设计如同步、资料预先撷取等多处理支援机构。
because the dynamic schedule technique cannot eliminate the data dependence in quantum instructions, we have proposed a parallel quantum computing model ( pqcm ) based on quantum network model to resolve this problem . we also analyzed the parallelism in quantum network, and give the analyzing and recomposing algorithm 在量子网络计算模型的基础上,深入分析了量子网络中存在的并行性,提出了并行量子计算模型,研究了开发量子网络并行性的方法,提出了量子网络并行化重构算法。