Assessing Quantum Layout Synthesis Tools via Known Optimal-SWAP Cost Benchmarks

Quantum layout synthesis (QLS) is a critical step in quantum program compilation for superconducting quantum computers, involving the insertion of SWAP gates to satisfy hardware connectivity constraints. While previous works have introduced SWAP-free benchmarks with known-optimal depths for evaluating QLS tools, these benchmarks overlook SWAP count-a key performance metric. Real-world applications often require SWAP gates, making SWAP-free benchmarks insufficient for fully assessing QLS tool performance. To address this limitation, we introduce QUBIKOS, a benchmark set with provableoptimal SWAP counts and non-trivial circuit structures. For the first time, we are able to quantify the optimality gaps of SWAP gate usages of the leading QLS algorithms, which are surprisingly large: LightSabre from IBM delivers the best performance with an optimality gap of $63 x$, followed by ML-QLS with an optimality gap of 117 x. Similarly, QMAP and $\mathrm{t} \mid$ ket $\rangle$ exhibit significantly larger gaps of 250 x and 330 x, respectively. This highlights the need for further advancements in QLS methodologies. Beyond evaluation, QUBIKOS offers valuable insights for guiding the development of future QLS tools, as demonstrated through an analysis of a suboptimal case in LightSABRE. This underscores QUBIKOS’s utility as both an evaluation framework and a tool for advancing QLS research.

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Published
2025-06-22
DOI
https://doi.org/10.1109/dac63849.2025.11133143
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
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article

Assessing Quantum Layout Synthesis Tools via Known Optimal-SWAP Cost Benchmarks

Wan-Hsuan Lin, Daniel Bochen Tan, Shuohao Ping, Jason Cong
Advancements in Semiconductor Devices and Circuit Design
article

Assessing Quantum Layout Synthesis Tools via Known Optimal-SWAP Cost Benchmarks

Wan-Hsuan Lin, Daniel Bochen Tan, Shuohao Ping, Jason Cong
article en

Abstract

Quantum layout synthesis (QLS) is a critical step in quantum program compilation for superconducting quantum computers, involving the insertion of SWAP gates to satisfy hardware connectivity constraints. While previous works have introduced SWAP-free benchmarks with known-optimal depths for evaluating QLS tools, these benchmarks overlook SWAP count-a key performance metric. Real-world applications often require SWAP gates, making SWAP-free benchmarks insufficient for fully assessing QLS tool performance. To address this limitation, we introduce QUBIKOS, a benchmark set with provableoptimal SWAP counts and non-trivial circuit structures. For the first time, we are able to quantify the optimality gaps of SWAP gate usages of the leading QLS algorithms, which are surprisingly large: LightSabre from IBM delivers the best performance with an optimality gap of $63 x$, followed by ML-QLS with an optimality gap of 117 x. Similarly, QMAP and $\mathrm{t} \mid$ ket $\rangle$ exhibit significantly larger gaps of 250 x and 330 x, respectively. This highlights the need for further advancements in QLS methodologies. Beyond evaluation, QUBIKOS offers valuable insights for guiding the development of future QLS tools, as demonstrated through an analysis of a suboptimal case in LightSABRE. This underscores QUBIKOS’s utility as both an evaluation framework and a tool for advancing QLS research.

University of California, Los Angeles (US), Harvard University Press (US)
Openalex Percentile: Top 76%
Advancements in Semiconductor Devices and Circuit Design
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