论文标题
部分可观测时空混沌系统的无模型预测
Exploiting Qubit Reuse through Mid-circuit Measurement and Reset
论文作者
论文摘要
量子测量对于量子计算很重要，因为它在计算结束时提取电路的结果。以前，所有测量都必须在电路结束时完成。否则，它将遇到重大错误。但现在不是这样。最近，IBM开始通过硬件支持动态电路（而不是通过模拟器）。通过中路硬件的测量，我们可以从三个方面提高电路功效和忠诚度：（a）减少量子使用量，（b）减少交换插入，以及（c）提高保真度。我们使用现实世界中的应用程序Bernstein Verizani在真实硬件上证明了这一点，并表明电路资源的使用可以提高60 \％，并且电路保真度可以提高15 \％。我们设计了一个编译器辅助工具，该工具可以找到并利用Qubit Reuse，Fidelity，Gate计数和电路持续时间之间的权衡。我们还开发了一种方法来识别量子重用是否对给定应用程序有益。我们对一组代表性应用程序进行了评估。我们可以将资源使用量最多减少80 \％，而电路保真度最多可将资源使用率降低20 \％。
Quantum measurement is important to quantum computing as it extracts the outcome of the circuit at the end of the computation. Previously, all measurements have to be done at the end of the circuit. Otherwise, it will incur significant errors. But it is not the case now. Recently IBM started supporting dynamic circuits through hardware (instead of software by simulator). With mid-circuit hardware measurement, we can improve circuit efficacy and fidelity from three aspects: (a) reduced qubit usage, (b) reduced swap insertion, and (c) improved fidelity. We demonstrate this using real-world applications Bernstein Verizani on real hardware and show that circuit resource usage can be improved by 60\%, and circuit fidelity can be improved by 15\%. We design a compiler-assisted tool that can find and exploit the tradeoff between qubit reuse, fidelity, gate count, and circuit duration. We also developed a method for identifying whether qubit reuse will be beneficial for a given application. We evaluated our method on a representative set of essential applications. We can reduce resource usage by up to 80\% and circuit fidelity by up to 20\%.
