pith. sign in

arxiv: 2411.14037 · v2 · pith:TZPM7GXDnew · submitted 2024-11-21 · 🪐 quant-ph

ZAP: Zoned Architecture and Performant Compiler for Field Programmable Atom Array

Pith reviewed 2026-05-25 08:29 UTC · model grok-4.3

classification 🪐 quant-ph
keywords neutral-atom quantum computingzoned architecturequantum compilercompilation speedupatom arrayschedulingplacementrouting
0
0 comments X

The pith

ZAP's zoned architecture and single-pass compiler achieve over 1000x faster compilation for neutral-atom circuits.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper introduces ZAP, a co-designed zoned architecture and compiler for field-programmable atom arrays in neutral-atom quantum computing. It partitions the array into storage and entanglement zones and uses a deterministic single-pass flow with ASAP-separate scheduling, look-ahead placement, and conflict-aware routing. This avoids the repeated global searches of prior iterative compilers. As a result, ZAP reduces compilation times dramatically while keeping or improving the quality of the mapped circuits, particularly for structured workloads.

Core claim

ZAP partitions atom arrays into storage and entanglement zones and applies a single-pass compilation flow consisting of hardware-aware ASAP-separate scheduling, look-ahead placement, and conflict-aware routing. This design produces high-quality mappings for quantum circuits without the iterative global optimization used in earlier compilers, delivering speedups of thousands of times while maintaining competitive fidelity, especially on circuits with irregular connectivity.

What carries the argument

The zoned architecture that separates storage and entanglement zones, together with the single-pass compiler flow using ASAP-separate scheduling, look-ahead placement, and conflict-aware routing.

If this is right

  • Compilation time reduces from tens of seconds to below 0.1 seconds.
  • Speedups exceed 1000 times compared to ZAC and PowerMove, and 10000 times compared to Enola.
  • Superior fidelity on structured quantum benchmarks with irregular connectivity and nonuniform qubit reuse due to better crosstalk suppression.
  • Competitive performance and preserved scalability on random 3-regular circuits.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Faster compilation could allow real-time adaptation of mappings during algorithm execution on the hardware.
  • The zoned separation might reduce transport losses in larger arrays by localizing entanglement operations.
  • Similar single-pass zoned flows could be tested on other reconfigurable quantum platforms facing mapping bottlenecks.

Load-bearing premise

A single-pass flow with ASAP-separate scheduling, look-ahead placement, and conflict-aware routing can produce mappings of comparable or better quality than those from repeated global search methods for arbitrary circuits.

What would settle it

Running the same structured and random circuits on neutral-atom hardware and measuring that ZAP-mapped executions show higher error rates than those from iterative compilers like ZAC.

Figures

Figures reproduced from arXiv: 2411.14037 by Chen Huang, Dong E. Liu, Hongze Xu, Jingbo Wang, Meng-Jun Hu, Weifeng Zhuang, Xi Zhao.

Figure 1
Figure 1. Figure 1: The schematic diagram illustrates the arrangement and [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: The diagram illustrates the ASAP partitioning method. For a given quantum circuit, we disregard single-qubit gates [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Qubit placement and movement across stages in the Zap compiler. The top portion represents the first two stages of [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: The diagram of the Zap platform. The Storage Zone [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Fidelity analysis of the Zap platform’s quantum oper [PITH_FULL_IMAGE:figures/full_fig_p007_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Fidelity comparison of different quantum algorithms [PITH_FULL_IMAGE:figures/full_fig_p008_6.png] view at source ↗
read the original abstract

The scalability of neutral-atom quantum computing is increasingly limited by a compiler--architecture challenge: logical circuits must be mapped onto dynamically reconfigurable atom arrays while controlling crosstalk, transport overhead, and hardware constraints. To address this problem, we present ZAP, a co-designed zoned architecture and deterministic compiler for field-programmable atom arrays. ZAP partitions the array into storage and entanglement zones and combines hardware-aware ASAP-separate scheduling, look-ahead placement, and conflict-aware routing in a single-pass compilation flow, thereby avoiding the repeated global search used in prior approaches. Evaluated on structured quantum benchmarks and random 3-regular circuits, ZAP consistently delivers multi-order-of-magnitude compilation speedups while maintaining competitive or superior execution quality. Relative to ZAC and PowerMove, ZAP typically reduces compilation time from tens of seconds to below 0.1~s and achieves speedups exceeding 1,000$\times$; relative to Enola, the speedup exceeds 10,000$\times$ on the evaluated suite. ZAP's fidelity gains are most pronounced on structured workloads with irregular connectivity and nonuniform qubit reuse, where its scheduling and placement decisions more effectively suppress crosstalk and limit transport-related loss, while on random circuits it remains competitive and preserves the same scalability advantage. These results show that hardware-structured, non-iterative compilation provides a practical path toward fast, scalable, and noise-aware neutral-atom quantum computing.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The manuscript presents ZAP, a co-designed zoned architecture and deterministic single-pass compiler for field-programmable atom arrays in neutral-atom quantum computing. The architecture partitions the array into storage and entanglement zones; the compiler combines ASAP-separate scheduling, look-ahead placement, and conflict-aware routing in a single-pass flow that avoids repeated global search. On structured quantum benchmarks and random 3-regular circuits, ZAP is reported to deliver compilation speedups exceeding 1,000× relative to ZAC and PowerMove (reducing times from tens of seconds to below 0.1 s) and exceeding 10,000× relative to Enola, while achieving competitive or superior execution fidelity, with gains most pronounced on workloads with irregular connectivity.

Significance. If the reported speedups and fidelity results hold under full methodological disclosure, the work demonstrates that hardware-structured, non-iterative compilation can provide a practical route to scalable neutral-atom quantum computing. The explicit linkage between zoned hardware and avoidance of iterative global search, together with direct empirical comparisons against named prior compilers on both structured and random benchmarks, supplies concrete evidence for the claimed performance advantage. This co-design approach could influence future compiler-architecture efforts in the field.

major comments (1)
  1. [Evaluation section] Evaluation section: The central claims rest on concrete speedup factors (1,000× and 10,000×) and fidelity comparisons, yet the manuscript does not specify the computational platform for timing, the exact number of benchmark instances per category, data-exclusion criteria, or how any error bars or variability measures are computed. These omissions are load-bearing for verifying robustness of the performance claims.
minor comments (2)
  1. [Figures and Evaluation] Figure captions and text should explicitly state whether reported times are averages, medians, or worst-case across the benchmark suite.
  2. [Abstract and §1] The abstract and introduction use 'multi-order-of-magnitude' without a precise definition; the full text should tie this phrasing directly to the tabulated or plotted ratios.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive feedback and for recommending major revision. We agree that the evaluation section requires additional methodological details to support verification of the reported speedups and fidelity results. We address the single major comment below and will incorporate the requested information in the revised manuscript.

read point-by-point responses
  1. Referee: [Evaluation section] Evaluation section: The central claims rest on concrete speedup factors (1,000× and 10,000×) and fidelity comparisons, yet the manuscript does not specify the computational platform for timing, the exact number of benchmark instances per category, data-exclusion criteria, or how any error bars or variability measures are computed. These omissions are load-bearing for verifying robustness of the performance claims.

    Authors: We acknowledge that these details are missing from the current manuscript and are necessary for reproducibility. In the revised Evaluation section we will add a dedicated 'Experimental Methodology' subsection that specifies: (1) the exact computational platform (CPU model, clock speed, memory, operating system, and runtime environment) used for all timing measurements; (2) the precise number of circuit instances evaluated in each benchmark category (structured workloads and random 3-regular circuits); (3) any data-exclusion criteria applied to the reported results; and (4) how variability is quantified (e.g., standard deviation across repeated runs or other statistical measures). These additions will allow direct verification of the 1,000×/10,000× speedups and the fidelity comparisons without changing the underlying experimental outcomes or claims. revision: yes

Circularity Check

0 steps flagged

No significant circularity

full rationale

The manuscript describes a zoned hardware architecture paired with a deterministic single-pass compiler (ASAP-separate scheduling, look-ahead placement, conflict-aware routing) whose performance claims rest on direct empirical timings and fidelity measurements against externally named prior compilers (ZAC, PowerMove, Enola) on structured and random 3-regular circuits. No equations, fitted parameters, self-definitional quantities, or load-bearing self-citations appear in the derivation chain; the reported speedups (1,000×–10,000×) and quality comparisons are presented as measured outcomes rather than quantities defined by the authors' own prior results or ansatzes. The central argument—that hardware zoning enables non-iterative compilation—remains independently falsifiable via the benchmark data and does not reduce to its inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The contribution is an engineering co-design of architecture and compiler; the abstract introduces no free parameters, no mathematical axioms beyond standard scheduling assumptions, and no new physical entities. The zoned storage/entanglement partition is the main invented construct, but it is a hardware organization rather than a postulated particle or force.

pith-pipeline@v0.9.0 · 5799 in / 1340 out tokens · 29779 ms · 2026-05-25T08:29:14.021595+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. An Oracle-Free Quantum Algorithm for Nonadiabatic Quantum Molecular Dynamics

    quant-ph 2026-04 unverdicted novelty 6.0

    An oracle-free Trotter-based quantum algorithm for nonadiabatic molecular dynamics achieves circuit depth advantages over QROM architectures and retains T-gate scalability compared to quantum signal processing.

  2. Compiler Framework for Directional Transport in Zoned Neutral Atom Systems with AOD Assistance: A Hybrid Remote CZ Approach

    quant-ph 2026-04 unverdicted novelty 5.0

    A hybrid DT-AOD compiler framework enables faster remote CZ gates in neutral atom systems by transporting Rydberg excitations directionally along resettable ancilla paths.

Reference graph

Works this paper leans on

39 extracted references · 39 canonical work pages · cited by 2 Pith papers · 1 internal anchor

  1. [1]

    Quantum computing in the nisq era and beyond,

    J. Preskill, “Quantum computing in the nisq era and beyond,” Quantum, vol. 2, p. 79, 2018

  2. [2]

    Quantum algorithms: an overview,

    A. Montanaro, “Quantum algorithms: an overview,” npj Quantum Infor- mation, vol. 2, no. 1, pp. 1–8, 2016

  3. [3]

    Quantum algorithm for linear systems of equations,

    A. W. Harrow, A. Hassidim, and S. Lloyd, “Quantum algorithm for linear systems of equations,” Physical review letters , vol. 103, no. 15, p. 150502, 2009

  4. [4]

    Superconducting qubits: Current state of play,

    M. Kjaergaard, M. E. Schwartz, J. Braumüller, P. Krantz, J. I.-J. Wang, S. Gustavsson, and W. D. Oliver, “Superconducting qubits: Current state of play,” Annual Review of Condensed Matter Physics , vol. 11, no. 1, pp. 369–395, 2020. 9

  5. [5]

    Trapped- ion quantum computing: Progress and challenges,

    C. D. Bruzewicz, J. Chiaverini, R. McConnell, and J. M. Sage, “Trapped- ion quantum computing: Progress and challenges,” Applied Physics Reviews, vol. 6, no. 2, 2019

  6. [6]

    Blueprint for a microwave trapped ion quantum computer,

    B. Lekitsch, S. Weidt, A. G. Fowler, K. Mølmer, S. J. Devitt, C. Wun- derlich, and W. K. Hensinger, “Blueprint for a microwave trapped ion quantum computer,” Science Advances, vol. 3, no. 2, p. e1601540, 2017

  7. [7]

    Quantum computing with neutral atoms,

    L. Henriet, L. Beguin, A. Signoles, T. Lahaye, A. Browaeys, G.-O. Reymond, and C. Jurczak, “Quantum computing with neutral atoms,” Quantum, vol. 4, p. 327, 2020

  8. [8]

    Neutral atom quantum computing hardware: performance and end-user perspective,

    K. Wintersperger, F. Dommert, T. Ehmer, A. Hoursanov, J. Klepsch, W. Mauerer, G. Reuber, T. Strohm, M. Yin, and S. Luber, “Neutral atom quantum computing hardware: performance and end-user perspective,” EPJ Quantum Technology , vol. 10, no. 1, p. 32, 2023

  9. [9]

    Hardware-efficient, fault-tolerant quantum computation with rydberg atoms,

    I. Cong, H. Levine, A. Keesling, D. Bluvstein, S.-T. Wang, and M. D. Lukin, “Hardware-efficient, fault-tolerant quantum computation with rydberg atoms,” Physical Review X , vol. 12, no. 2, p. 021049, 2022

  10. [10]

    Logical quantum processor based on reconfigurable atom arrays,

    D. Bluvstein, S. J. Evered, A. A. Geim, S. H. Li, H. Zhou, T. Manovitz, S. Ebadi, M. Cain, M. Kalinowski, D. Hangleiter et al. , “Logical quantum processor based on reconfigurable atom arrays,” Nature, vol. 626, no. 7997, pp. 58–65, 2024

  11. [11]

    Quantum computational chemistry,

    S. McArdle, S. Endo, A. Aspuru-Guzik, S. C. Benjamin, and X. Yuan, “Quantum computational chemistry,” Reviews of Modern Physics , vol. 92, no. 1, p. 015003, 2020

  12. [12]

    Quantum chemistry in the age of quantum computing,

    Y . Cao, J. Romero, J. P. Olson, M. Degroote, P. D. Johnson, M. Kiefer- ová, I. D. Kivlichan, T. Menke, B. Peropadre, N. P. Sawaya et al. , “Quantum chemistry in the age of quantum computing,” Chemical reviews, vol. 119, no. 19, pp. 10 856–10 915, 2019

  13. [13]

    The impact of quantum computing on cryptography,

    J.-P. Aumasson, “The impact of quantum computing on cryptography,” Computer Fraud & Security , vol. 2017, no. 6, pp. 8–11, 2017

  14. [14]

    Towards post-quantum blockchain: A review on blockchain cryptography resistant to quantum computing attacks,

    T. M. Fernandez-Carames and P. Fraga-Lamas, “Towards post-quantum blockchain: A review on blockchain cryptography resistant to quantum computing attacks,” IEEE access , vol. 8, pp. 21 091–21 116, 2020

  15. [15]

    Quantum computing for energy systems optimization: Challenges and opportunities,

    A. Ajagekar and F. You, “Quantum computing for energy systems optimization: Challenges and opportunities,” Energy, vol. 179, pp. 76– 89, 2019

  16. [16]

    A tutorial on quantum approximate optimization algorithm (qaoa): Fundamentals and applications,

    J. Choi and J. Kim, “A tutorial on quantum approximate optimization algorithm (qaoa): Fundamentals and applications,” in 2019 international conference on information and communication technology convergence (ICTC). IEEE, 2019, pp. 138–142

  17. [17]

    Multi-qubit entanglement and algorithms on a neutral-atom quantum computer,

    T. Graham, Y . Song, J. Scott, C. Poole, L. Phuttitarn, K. Jooya, P. Eichler, X. Jiang, A. Marra, B. Grinkemeyer et al. , “Multi-qubit entanglement and algorithms on a neutral-atom quantum computer,” Nature, vol. 604, no. 7906, pp. 457–462, 2022

  18. [18]

    High- fidelity parallel entangling gates on a neutral-atom quantum computer,

    S. J. Evered, D. Bluvstein, M. Kalinowski, S. Ebadi, T. Manovitz, H. Zhou, S. H. Li, A. A. Geim, T. T. Wang, N. Maskara et al. , “High- fidelity parallel entangling gates on a neutral-atom quantum computer,” Nature, vol. 622, no. 7982, pp. 268–272, 2023

  19. [19]

    Quantum computing with neutral atoms,

    L. Henriet, L. Beguin, A. Signoles, T. Lahaye, A. Browaeys, G.-O. Reymond, and C. Jurczak, “Quantum computing with neutral atoms,” Quantum, vol. 4, p. 327, Sep. 2020

  20. [20]

    A tweezer array with 6100 highly coherent atomic qubits

    H. J. Manetsch, G. Nomura, E. Bataille, K. H. Leung, X. Lv, and M. Endres, “A tweezer array with 6100 highly coherent atomic qubits,” arXiv preprint arXiv:2403.12021 , 2024

  21. [21]

    Fast transport, atom sample splitting and single-atom qubit supply in two-dimensional arrays of optical microtraps,

    M. Schlosser, J. Kruse, C. Gierl, S. Teichmann, S. Tichelmann, and G. Birkl, “Fast transport, atom sample splitting and single-atom qubit supply in two-dimensional arrays of optical microtraps,” New Journal of Physics , vol. 14, no. 12, p. 123034, 2012

  22. [22]

    A quantum processor based on coherent transport of entangled atom arrays,

    D. Bluvstein, H. Levine, G. Semeghini, T. T. Wang, S. Ebadi, M. Kali- nowski, A. Keesling, N. Maskara, H. Pichler, M. Greiner et al. , “A quantum processor based on coherent transport of entangled atom arrays,” Nature, vol. 604, no. 7906, pp. 451–456, 2022

  23. [23]

    Quantum information processing and quantum simulation with programmable rydberg atom arrays,

    H. J. Levine, “Quantum information processing and quantum simulation with programmable rydberg atom arrays,” Ph.D. dissertation, Harvard University, 2021

  24. [24]

    Single ion-qubit exceeding one hour coherence time,

    P. Wang, C.-Y . Luan, M. Qiao, M. Um, J. Zhang, Y . Wang, X. Yuan, M. Gu, J. Zhang, and K. Kim, “Single ion-qubit exceeding one hour coherence time,” arXiv preprint arXiv:2008.00251 , 2020

  25. [25]

    Tackling the qubit mapping problem for nisq-era quantum devices,

    G. Li, Y . Ding, and Y . Xie, “Tackling the qubit mapping problem for nisq-era quantum devices,” in Proceedings of the twenty-fourth interna- tional conference on architectural support for programming languages and operating systems , 2019, pp. 1001–1014

  26. [26]

    Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor,

    A. Hashim, R. K. Naik, A. Morvan, J.-L. Ville, B. Mitchell, J. M. Kreikebaum, M. Davis, E. Smith, C. Iancu, K. P. O’Brien et al. , “Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor,” arXiv preprint arXiv:2010.00215 , 2020

  27. [27]

    Quantum compiling with reinforcement learning on a superconducting processor,

    Z. Wang, Q. Chen, Y . Du, Z. Yang, X. Cai, K. Huang, J. Zhang, K. Xu, J. Du, Y . Li et al., “Quantum compiling with reinforcement learning on a superconducting processor,” arXiv preprint arXiv:2406.12195 , 2024

  28. [28]

    Tilt: Achieving higher fidelity on a trapped-ion linear- tape quantum computing architecture,

    X.-C. Wu, D. M. Debroy, Y . Ding, J. M. Baker, Y . Alexeev, K. R. Brown, and F. T. Chong, “Tilt: Achieving higher fidelity on a trapped-ion linear- tape quantum computing architecture,” in 2021 IEEE International Sym- posium on High-Performance Computer Architecture (HPCA) . IEEE, 2021, pp. 153–166

  29. [29]

    Automating quantum experiment control: From circuit compilation to ion routing,

    K. E. Stevens, J. M. Amini, S. C. Doret, G. Mohler, C. V olin, and A. W. Harter, “Automating quantum experiment control: From circuit compilation to ion routing,” Quantum Information Processing , vol. 16, pp. 1–20, 2017

  30. [30]

    Ilp-based scheduling for linear-tape model trapped-ion quantum computers,

    X.-C. Wu, Y . Ding, Y . Shi, Y . Alexeev, H. Finkel, K. Kim, and F. T. Chong, “Ilp-based scheduling for linear-tape model trapped-ion quantum computers,” in the Proceedings of The International Conference for High Performance Computing, Networking, Storage, and Analysis, Denver Co, 2019

  31. [31]

    Compiling quantum circuits for dynamically field-programmable neutral atoms array processors,

    D. B. Tan, D. Bluvstein, M. D. Lukin, and J. Cong, “Compiling quantum circuits for dynamically field-programmable neutral atoms array processors,” Quantum, vol. 8, p. 1281, 2024

  32. [32]

    Compilation for dynamically field- programmable qubit arrays with efficient and provably near-optimal scheduling,

    D. B. Tan, W.-H. Lin, and J. Cong, “Compilation for dynamically field- programmable qubit arrays with efficient and provably near-optimal scheduling,” arXiv preprint arXiv:2405.15095 , 2024

  33. [33]

    An abstract model and efficient routing for logical entangling gates on zoned neutral atom architectures,

    Y . Stade, L. Schmid, L. Burgholzer, and R. Wille, “An abstract model and efficient routing for logical entangling gates on zoned neutral atom architectures,” arXiv preprint arXiv:2405.08068 , 2024

  34. [34]

    Arctic: A field programmable quantum array scheduling technique,

    E. Decker, “Arctic: A field programmable quantum array scheduling technique,” arXiv preprint arXiv:2405.06183 , 2024

  35. [35]

    Fpqa-c: a compilation framework for field programmable qubit array,

    H. Wang, P. Liu, B. Tan, Y . Liu, J. Gu, D. Z. Pan, J. Cong, U. Acar, and S. Han, “Fpqa-c: a compilation framework for field programmable qubit array,” arXiv preprint arXiv:2311.15123 , 2023

  36. [36]

    Geyser: a compilation framework for quantum computing with neutral atoms,

    T. Patel, D. Silver, and D. Tiwari, “Geyser: a compilation framework for quantum computing with neutral atoms,” in Proceedings of the 49th Annual International Symposium on Computer Architecture , 2022, pp. 383–395

  37. [37]

    Q-pilot: field programmable quantum array compilation with flying ancillas,

    H. Wang, B. Tan, P. Liu, Y . Liu, J. Gu, J. Cong, and S. Han, “Q-pilot: field programmable quantum array compilation with flying ancillas,” arXiv preprint arXiv:2311.16190 , 2023

  38. [38]

    Qompose: A technique to select op- timal algorithm-specific layout for neutral atom quantum architectures,

    D. Silver, T. Patel, and D. Tiwari, “Qompose: A technique to select op- timal algorithm-specific layout for neutral atom quantum architectures,” arXiv preprint arXiv:2409.19820 , 2024

  39. [39]

    Reuse-aware compilation for zoned quantum architectures based on neutral atoms,

    W.-H. Lin, D. B. Tan, and J. Cong, “Reuse-aware compilation for zoned quantum architectures based on neutral atoms,” arXiv preprint arXiv:2411.11784, 2024. 10