O3LS: Optimizing Lattice Surgery via Automatic Layout Searching and Loose Scheduling
Chenghong Zhu, Xian Wu, Jiahan Chen, Keming He, Junjie Wu, Xin Wang, Lingling Lao

TL;DR
O3LS is a framework that optimizes lattice surgery in quantum computing by automatically searching for layouts and applying loose scheduling to reduce resource use and error rates.
Contribution
It introduces an automatic layout search and loose scheduling approach that balances resource efficiency and error suppression in lattice surgery.
Findings
Reduces space overhead by 28.0% over standard layouts.
Achieves up to 16% reduction in logical error rates.
Decreases time overhead by 36.07% in compact layouts.
Abstract
Toward the large-scale, practical realization of quantum computing, quantum error correction is essential. Among various quantum error-correcting codes, the surface code stands out as a leading candidate, and lattice surgery based on surface codes has emerged as a promising technique for fault-tolerant quantum computation (FTQC). However, implementing quantum algorithms using lattice surgery introduces both resource and time overhead. Existing approaches typically focus on large layout designs, with compiler passes aimed primarily at optimizing time overhead. This often overlooks the trade-off between rotation bottlenecks and movement distance, which leads to inefficient resource utilization and prevents further reduction of the quantum computation failure rate. To address these challenges, we introduce O3LS, a framework for optimizing lattice surgery through automatic layout search…
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