中性原子系统上双变量自行车码的硬件感知编译与执行
Hardware-Aware Compilation and Execution of Bivariate Bicycle Codes on Neutral-Atom Systems
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中文总结 AI 辅助
针对中性原子系统执行双变量自行车码需硬件感知映射的问题，提出Park-n-Ride系统，通过协同设计码抽象与硬件执行，实现qLDPC原语在该阵列上的高效执行。
中文摘要 AI 辅助
量子计算机存在噪声，若无量子纠错（QEC），深层程序会因量子比特因退相干丢失信息而失效。在QEC方法中，双变量自行车（BB）码开销低且症候提取为常深度，而中性原子阵列提供可扩展、可重构的量子比特布局。然而，在中性原子系统上执行BB码原语需遵循移动、分区和相互作用约束的硬件感知映射。我们提出Park-n-Ride系统，用于在中性原子处理器上编译和执行BB码。Park-n-Ride引入与中性原子约束对齐的模块布局和移动模型，提供紧凑的BB原生逻辑接口用于编译，并集成调度机制以在分区架构上实现高效执行。通过将BB码抽象与硬件执行协同设计，Park-n-Ride为从qLDPC原语到可重构中性原子阵列上资源高效、高吞吐量的执行提供了实用路径。
英文摘要
Quantum computers are noisy; without quantum error correction (QEC), deep programs fail as qubits lose information due to decoherence. Among QEC approaches, bivariate bicycle (BB) codes offer low overhead and constant-depth syndrome extraction, while neutral-atom arrays provide scalable, reconfigurable qubit layouts. However, executing BB-code primitives on neutral-atom systems requires a hardware-aware mapping that respects movement, zoning, and interaction constraints. We present Park-n-Ride, a system for compiling and executing the BB code on neutral-atom processors. Park-n-Ride introduces a module layout and movement model aligned with neutral-atom constraints, exposes a compact BB-native logical interface for compilation, and integrates scheduling mechanisms that enable efficient execution on zoned architectures. By co-designing BB-code abstractions with hardware execution, Park-n-Ride provides a practical path from qLDPC primitives to resource-efficient, high-throughput execution on reconfigurable neutral-atom arrays.
