AI 中文总结
针对模块化量子架构中费米子模拟内核通信瓶颈问题，提出COSMA通信感知编译框架，通过联合优化费米子到量子比特映射等，在分子基准测试中使通信成本大幅降低，证明跨层协同设计对多核量子硬件量子模拟的重要性。
AI 中文摘要
量子模拟是量子计算的一项重要应用，但要扩展到与化学相关的问题，需要由相互连接的量子处理单元组成的模块化架构。在这样的系统中，核心间量子通信成为主要性能瓶颈。本文提出了COSMA，一个针对模块化量子架构的费米子模拟内核的通信感知编译框架。我们的方法联合优化费米子到量子比特的映射、泡利调度和量子比特分配，以最小化核心间状态转移。在分子基准测试中评估，COSMA与现有基线相比，通信成本降低了高达2.5倍，中位数提高了1.7倍。这些结果表明跨层协同设计对于多核量子硬件上高效且可扩展的量子模拟至关重要。
英文摘要
Quantum simulation is a leading application of quantum computing, but scaling to chemically relevant problems requires modular architectures composed of interconnected quantum processing units. In such systems, inter-core quantum communication becomes a major performance bottleneck. In this work, we present COSMA, a communication-aware compilation framework for fermionic simulation kernels targeting modular quantum architectures. Our approach jointly optimizes fermion-to-qubit mapping, Pauli scheduling, and qubit allocation to minimize inter-core state transfers. Evaluated on molecular benchmarks, COSMA achieves up to $2.5\times$ reduction in communication cost compared to state-of-the-art baselines, with a median improvement of $1.7\times$. These results demonstrate that cross-layer co-design is essential for efficient and scalable quantum simulation on multi-core quantum hardware.
CommentsAccepted at IEEE QCE 2026
