As quantum computing technology continues to mature, industry is adopting modular quantum architectures to keep quantum scaling on the projected path and meet performance targets. However, the complexity of chiplet-based quantum devices, coupled with their growing size, presents an imminent scalability challenge for quantum compilation. Contemporary compilation methods are not well-suited to chiplet architectures. In particular, existing qubit allocation methods are often unable to contend with inter-chiplet links, which don't necessary support a universal basis gate set. Furthermore, existing methods of logical-to-physical qubit placement, swap insertion (routing), unitary synthesis, and/or optimization are typically not designed for qubit links of significantly varying levels of duration or fidelity. In this work, we propose SEQC, a complete and parallelized compilation pipeline optimized for chiplet-based quantum computers, including several novel methods for qubit placement, qubit routing, and circuit optimization. SEQC attains up to a 36% increase in circuit fidelity, accompanied by execution time improvements of up to 1.92x. Additionally, owing to its ability to parallelize compilation, SEQC achieves consistent solve time improvements of 2-4x over a chiplet-aware Qiskit baseline.

翻译：随着量子计算技术的持续发展，工业界正采用模块化量子架构，以保持量子规模按预期路径扩展并达成性能目标。然而，基于芯粒的量子设备复杂性高，且规模日益增大，对量子编译提出了迫在眉睫的可扩展性挑战。现有的编译方法并不十分适用于芯粒架构。具体而言，现有的量子比特分配方法通常难以应对芯粒间链路，这些链路不一定支持通用的基础门集。此外，现有的逻辑-物理量子比特布局、交换插入（路由）、幺正合成和/或优化方法，通常并非为持续时间或保真度存在显著差异的量子比特链路而设计。在本工作中，我们提出了SEQC，一个为基于芯粒的量子计算机优化的完整并行化编译流程，其中包括多种新颖的量子比特布局、量子比特路由和电路优化方法。SEQC实现了高达36%的电路保真度提升，同时执行时间最高可改善1.92倍。此外，得益于其并行化编译能力，相较于一个具备芯粒感知能力的Qiskit基准方案，SEQC在求解时间上实现了2-4倍的持续提升。