FTCircuitBench: A Benchmark Suite for Fault-Tolerant Quantum Compilation and Architecture

Realizing large-scale quantum advantage is expected to require quantum error correction (QEC), making the compilation and optimization of logical operations a critical area of research. Logical computation imposes distinct constraints and operational paradigms that differ from those of the Noisy Intermediate-Scale Quantum (NISQ) regime, motivating the continued evolution of compilation tools. Given the complexity of this emerging stack, where factors such as gate decomposition precision and computational models must be co-designed, standardized benchmarks and toolkits are valuable for evaluating progress. To support this need, we introduce FTCircuitBench, which serves as: (1) a benchmark suite of impactful quantum algorithms, featuring pre-compiled instances in both Clifford+T and Pauli Based Computation models; (2) a modular end-to-end pipeline allowing users to compile and decompose algorithms for various fault-tolerant architectures, supporting both prebuilt and custom optimization passes; and (3) a toolkit for evaluating the impact of algorithms and optimization across the full compilation stack, providing detailed numerical analysis at each stage. FTCircuitBench is fully open-sourced and maintained on GitHub.

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Publication Details

Journal
ACM Transactions on Quantum Computing
Published
2026-11-06
DOI
https://doi.org/10.1145/3858421
Citations
13
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
19.27

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article

FTCircuitBench: A Benchmark Suite for Fault-Tolerant Quantum Compilation and Architecture

Tamás Terlaky B, Luis F. Zuluaga, Shifan Xu, Diana Chamaki et al.
13 citations
ACM Transactions on Quantum Computing
Quantum Computing Algorithms and Architecture
19.27
article

FTCircuitBench: A Benchmark Suite for Fault-Tolerant Quantum Compilation and Architecture

Tamás Terlaky B, Luis F. Zuluaga, Shifan Xu, Diana Chamaki, John M. Martyn, Ethan Decker, Adrian Harkness, Shuwen Kan, Ying Mao, Ang Li, Meng Wang, Chenxu Liu, Samuel Stein
article en
13 citations

Abstract

Realizing large-scale quantum advantage is expected to require quantum error correction (QEC), making the compilation and optimization of logical operations a critical area of research. Logical computation imposes distinct constraints and operational paradigms that differ from those of the Noisy Intermediate-Scale Quantum (NISQ) regime, motivating the continued evolution of compilation tools. Given the complexity of this emerging stack, where factors such as gate decomposition precision and computational models must be co-designed, standardized benchmarks and toolkits are valuable for evaluating progress. To support this need, we introduce FTCircuitBench, which serves as: (1) a benchmark suite of impactful quantum algorithms, featuring pre-compiled instances in both Clifford+T and Pauli Based Computation models; (2) a modular end-to-end pipeline allowing users to compile and decompose algorithms for various fault-tolerant architectures, supporting both prebuilt and custom optimization passes; and (3) a toolkit for evaluating the impact of algorithms and optimization across the full compilation stack, providing detailed numerical analysis at each stage. FTCircuitBench is fully open-sourced and maintained on GitHub.

ACM Transactions on Quantum Computing
Harvard University (US), University of British Columbia (CA), Pacific Northwest National Laboratory (US), Fordham University (US), Lehigh University (US), Yale University (US), Columbia University (US), University of Pennsylvania (US)
U.S. Department of Energy, Battelle, National Energy Research Scientific Computing Center, Office of Science, Laboratory Directed Research and Development, Lawrence Berkeley National Laboratory, Pacific Northwest National Laboratory
Openalex Percentile: Top 1%
Quantum Computing Algorithms and Architecture
19.27
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