Physics-Aware Compilation for Parallel Quantum Circuit Execution on Neutral Atom Arrays

TL;DR

This paper introduces Physics-Aware Compilation (PAC), a novel method for efficiently compiling quantum circuits on neutral atom arrays by leveraging physical device characteristics and parallel execution, significantly improving scalability and performance.

Contribution

PAC is the first to integrate physics-aware hardware partitioning with parallel circuit division, enhancing compilation efficiency and scalability for neutral atom quantum computers.

Findings

Achieves up to 78.5x speedup on 16x16 arrays

Maintains circuit fidelity comparable to state-of-the-art methods

Scales effectively to larger arrays, demonstrating practical applicability

Abstract

Neutral atom quantum computers are one of the most promising quantum architectures, offering advantages in scalability, dynamic reconfigurability, and potential for large-scale implementations. These characteristics create unique compilation challenges, especially regarding compilation efficiency while adapting to hardware flexibility. However, existing methods encounter significant performance bottlenecks at scale, hindering practical applications. We propose Physics-Aware Compilation (PAC), a method that improves compilation efficiency while preserving the inherent flexibility of neutral atom systems. PAC introduces physics-aware hardware plane partitioning that strategically allocates hardware resources based on physical device characteristics like AOD and SLM trap properties and qubit mobility constraints. Additionally, it implements parallel quantum circuit division with an improved Kernighan-Lin algorithm that enables simultaneous execution across independent regions while maintaining circuit fidelity. Our experimental evaluation compares PAC with state-of-the-art methods across increasingly larger array sizes ranging from 16x16 to 64x64 qubits. Results demonstrate that PAC achieves up to 78.5x speedup on 16x16 arrays while maintaining comparable circuit quality. PAC's compilation efficiency advantage increases with system scale, demonstrating scalability for practical quantum applications on larger arrays. PAC explores a viable path for practical applications of neutral atom quantum computers by effectively addressing the tension between compilation efficiency and hardware flexibility.