NAKO: A Benchmarking Framework for Evaluating and Diagnosing Neutral-Atom Quantum Compilers

Reconfigurable neutral-atom processors couple gate scheduling, atom placement, and parallel atom transport, so compiler decisions jointly determine physical execution costs. Evaluating these compilers requires attainable resource references and a way to trace excess costs to their causes. We present NAKO, a benchmarking framework that parameterizes circuits by qubit count, logical depth, and requested one- and two-qubit gate densities, and assigns attainable targets for Rydberg stages, routing intervals, and movement layers. Each benchmark is paired with an executable reference schedule; under the stated execution model, construction guarantees minimum Rydberg-stage and routing-interval counts, and minimum movement among schedules with the minimum Rydberg-stage count. Comparing compiler outputs with these references quantifies resource gaps, while reference mappings and intermediate physical states enable controlled interventions that trace excess costs to specific compiler decisions. In a 648-run evaluation of Enola and OLSQ-DPQA, NAKO identifies distinct bottlenecks. For Enola, placement scoring and cross-stage layout management contribute to excess movement; diagnosis-guided interventions reduce mean movement by 78.9% across five matched circuits. For OLSQ-DPQA, premature candidate selection and limited exploration of preparatory states produce avoidable entangling stages and routing intervals; four fixed-checkpoint continuations each eliminate one Rydberg stage and one routing interval without increasing movement. NAKO thus links resource targets backed by constructive optimality guarantees to controlled diagnosis and validation of compiler-specific resource savings.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-29
DOI
https://doi.org/10.48550/arxiv.2610.39296
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
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preprint

NAKO: A Benchmarking Framework for Evaluating and Diagnosing Neutral-Atom Quantum Compilers

Lianhui Yu, Guowu Yang, Xiaoyu Li, Geng Chen et al.
arXiv (Cornell University)
Quantum Computing Algorithms and Architecture
preprint

NAKO: A Benchmarking Framework for Evaluating and Diagnosing Neutral-Atom Quantum Compilers

Lianhui Yu, Guowu Yang, Xiaoyu Li, Geng Chen, Wenjie Sun, Zhigang Wang, Desheng Zheng
preprint en

Abstract

Reconfigurable neutral-atom processors couple gate scheduling, atom placement, and parallel atom transport, so compiler decisions jointly determine physical execution costs. Evaluating these compilers requires attainable resource references and a way to trace excess costs to their causes. We present NAKO, a benchmarking framework that parameterizes circuits by qubit count, logical depth, and requested one- and two-qubit gate densities, and assigns attainable targets for Rydberg stages, routing intervals, and movement layers. Each benchmark is paired with an executable reference schedule; under the stated execution model, construction guarantees minimum Rydberg-stage and routing-interval counts, and minimum movement among schedules with the minimum Rydberg-stage count. Comparing compiler outputs with these references quantifies resource gaps, while reference mappings and intermediate physical states enable controlled interventions that trace excess costs to specific compiler decisions. In a 648-run evaluation of Enola and OLSQ-DPQA, NAKO identifies distinct bottlenecks. For Enola, placement scoring and cross-stage layout management contribute to excess movement; diagnosis-guided interventions reduce mean movement by 78.9% across five matched circuits. For OLSQ-DPQA, premature candidate selection and limited exploration of preparatory states produce avoidable entangling stages and routing intervals; four fixed-checkpoint continuations each eliminate one Rydberg stage and one routing interval without increasing movement. NAKO thus links resource targets backed by constructive optimality guarantees to controlled diagnosis and validation of compiler-specific resource savings.

arXiv (Cornell University)
Quantum Computing Algorithms and Architecture
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NAKO: A Benchmarking Framework for Evaluating and Diagnosing Neutral-Atom Quantum Compilers — Lianhui Yu, Guowu Yang, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS