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arXiv:2411.12263 · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)

PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture

Jixuan Ruan, Xiang Fang, Hezi Zhang, Ang Li, Travis S. Humble, Yufei Ding

Published Aug 6, 2025• 1 citation
arXivHTMLPDF

Abstract

Neutral atom quantum computers (NAQCs) have emerged as promising candidates for scalable quantum computing, thanks to their advanced hardware capabilities, particularly qubit movement and the Zoned Architecture (ZA). However, fully harnessing these features presents significant compilation challenges, requiring careful coordination across gate scheduling, qubit positioning, atom movement, and inter-zone communication. In this paper, we propose PowerMove, an efficient compiler for NAQCs that unlocks new optimization opportunities, significantly improving qubit movement strategies while seamlessly integrating ZA. Our evaluation demonstrates orders-of-magnitude fidelity improvements over state-of-the-art methods, with execution time reduced by up to 3.76× and compilation time accelerated by up to 216.9× across various NISQ applications. Furthermore, PowerMove extends naturally to the fault-tolerant quantum computing (FTQC) setting, where physical qubits are replaced by logical qubits encoded in QEC codes, achieving a 4.78× reduction in execution time. These results highlight PowerMove's impact on both near-term NISQ applications and long-term FTQC implementations. We have open-sourced our codes at https://github.com/Scarlett0815/PowerMove to facilitate further research and collaboration within the community.

DOI
10.1145/3676642.3736128

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Neutral atom quantum computers (NAQCs) have emerged as promising candidates for scalable quantum computing, thanks to their advanced hardware capabilities, particularly qubit movement and the Zoned Architecture (ZA). However, fully harnessing these features presents significant compilation challenges, requiring careful coordination across gate scheduling, qubit positioning, atom movement, and inter-zone communication. In this paper, we propose PowerMove, an efficient compiler for NAQCs that unlocks new optimization opportunities, significantly improving qubit movement strategies while seamlessly integrating ZA. Our evaluation demonstrates orders-of-magnitude fidelity improvements over state-of-the-art methods, with execution time reduced by up to 3.76× and compilation time accelerated by up to 216.9× across various NISQ applications. Furthermore, PowerMove extends naturally to the fault-tolerant quantum computing (FTQC) setting, where physical qubits are replaced by logical qubits encoded in QEC codes, achieving a 4.78× reduction in execution time. These results highlight PowerMove's impact on both near-term NISQ applications and long-term FTQC implementations. We have open-sourced our codes at https://github.com/Scarlett0815/PowerMove to facilitate further research and collaboration within the community.
Neutral atom quantum computers (NAQC) are emerging as a promising, scalable quantum computing platform because of their long qubit coherence, flexible qubit arrangement, and multiqubit gate capabilities. However, circuit execution often requires physically moving qubits, making compilation a critical optimization challenge. We propose a circuit independent mathematical framework built on graph-theoretic combinatorial optimization that determines the minimal number of required qubit transfers. This model captures spatial constraints specific to NAQC platforms with zone-limited gate operations and multi-qubit gates. From this framework, we encode the qubit mapping problem as a nonlinear integer program and solve it using a genetic algorithm, enabling trade-offs between minimizing the total traveled distance and the number of parallel transfer operations. Compared to the state-of-the-art scalable compiler for zoned architectures, our approach consistently finds fewer transfers. Depending on the optimization focus, our method produces shorter traveled distances or fewer parallel transfer operations. This work provides both theoretical guaranties and a practical tool for efficient, architecture-aware quantum circuit compilation. As a result, practitioners can generate hardware-aware mappings that reduce movement-induced errors and better exploit atom transfer parallelism, directly improving execution efficiency on NAQC devices.
Quantum computing architectures based on neutral atoms offer large scales and high-fidelity operations. They can be heterogeneous, with different zones for storage, entangling operations, and readout. Zoned architectures improve computation fidelity by shielding idling qubits in storage from side-effect noise, unlike monolithic architectures where all operations occur in a single zone. However, supporting these flexible architectures with efficient compilation remains challenging. In this paper, we propose ZAC, a scalable compiler for zoned architectures. ZAC minimizes data movement overhead between zones with qubit reuse, i.e., keeping them in the entanglement zone if an immediate entangling operation is pending. Other innovations include novel data placement and instruction scheduling strategies in ZAC, a flexible specification of zoned architectures, and an intermediate representation for zoned architectures, ZAIR. Our evaluation shows that zoned architectures equipped with ZAC achieve a 22x improvement in fidelity compared to monolithic architectures. Moreover, ZAC is shown to have a 10% fidelity gap on average compared to the ideal solution. This significant performance enhancement enables more efficient and reliable quantum circuit execution, enabling advancements in quantum algorithms and applications. ZAC is open source at https://github.com/UCLAVAST/ZAC
Zoned neutral atom architectures are emerging as a promising platform for large-scale quantum computing. Their growing scale, however, creates a critical need for efficient and automated compilation solutions. Yet, existing methods fail to scale to the thousands of qubits these devices promise. State-of-the-art compilers, in particular, suffer from immense memory requirements that limit them to small-scale problems. This work proposes a scalable compilation strategy that "searches smarter, not harder". We introduce Iterative Diving Search (IDS), a goal-directed search algorithm that avoids the memory issues of previous methods, and relaxed routing, an optimization to mitigate atom rearrangement overhead. Our evaluation confirms that this approach compiles circuits with thousands of qubits and, in addition, even reduces rearrangement overhead by 28.1% on average. The complete code is publicly available in open-source as part of the Munich Quantum Toolkit (MQT) at https://github.com/munich-quantum-toolkit/qmap.
Neutral-atom quantum computing (NAQC) offers distinct advantages such as dynamic qubit reconfigurability, long coherence times, and high gate fidelities, making it a promising platform for scalable quantum computing. Among existing implementations, the Dynamically Field-Programmable Qubit Array (DPQA) architecture has emerged as the most prominent NAQC platform, enabling large-scale, high-fidelity operations through dynamic atom rearrangement and global Rydberg excitation. Despite these strengths, efficiently implementing quantum circuits like the Quantum Fourier Transform (QFT) remains a significant challenge due to atom-movement overheads and connectivity constraints. This paper introduces optimal compilation strategies tailored to QFT circuits on the DPQA architecture, addressing these challenges for both linear and grid-like configurations. By minimizing atom movements, the proposed methods achieve theoretical lower bounds in movement counts while preserving high circuit fidelity. Comparative evaluations against state-of-the-art DPQA compilers demonstrate the superior performance of the proposed methods, which could serve as benchmarks for evaluating the performance of future DPQA compilers.
Resource estimation is a significant challenge in evaluating fault tolerant quantum computers. Existing approaches often rely on either fixed architectural assumptions or coarse analytical models that fail to capture the interaction between hardware constraints and circuit compilation. This challenge is particularly acute for neutral atom quantum computers, where architectural features such as atom movement, measurement zones, and multi-species arrays introduce a broad design space for implementing fault tolerant computation. Addressing the need for a tighter feedback loop between hardware design and practical application development, we present a compilation-driven framework for quantum resource estimation that translates arbitrary quantum circuits into logical primitive operations with known physical resource costs. This framework allows for easily configurable hardware assumptions that enable rapid comparison of different architectural design choices. We apply our approach to two early fault tolerant quantum simulation and optimization workloads, assuming the use of the surface code, revealing several architectural trends. While the production of magic states continues to be the dominant source of overhead for these benchmarks, access to movement can save time on cultivation and important transversal gates. As problem size grows, routing and qubit movement become dominant bottlenecks, highlighting the need for movement-aware compiler optimizations and frugal routing strategies. Finally, our results suggest that neutral atom architectures combining dual-species arrays with controlled qubit movement offer a promising path toward near-term advantage on fault tolerant devices.
Quantum computing promises to solve problems previously deemed infeasible. However, high error rates necessitate quantum error correction for practical applications. Seminal experiments with zoned neutral atom architectures have shown remarkable potential for fault-tolerant quantum computing. To fully harness their potential, efficient software solutions are vital. A key aspect of quantum error correction is the initialization of physical qubits representing a logical qubit in a highly entangled state. This process, known as state preparation, is the foundation of most quantum error correction codes and, hence, a crucial step towards fault-tolerant quantum computing. Generating a schedule of target-specific instructions to perform the state preparation is highly complex. First software tools exist but are not suitable for the zoned neutral atom architectures. This work addresses this gap by leveraging the computational power of SMT solvers and generating minimal schedules for the state preparation of logical arrays. Experimental evaluations demonstrate that actively utilizing zones to shield idling qubits consistently results in higher fidelities than solutions disregarding these zones. The complete code is publicly available in open-source as part of the Munich Quantum Toolkit (MQT) at https://github.com/cdatum/mqt-qmap.