Optimizing Parallel Execution of Commuting Pauli Product Rotations
Abstract
Fault-Tolerant Quantum Computation (FTQC) permits parallel execution of mutually commuting Pauli Product Rotations (PPRs), but per-qubit access point/port limits (e.g. two X and two Z edges on the surface code) force commuting groups that exceed the budget to be split, inflating circuit depth. We propose two heuristics for reducing this hardware-limited depth: 1. clique reshuffling, which permutes commuting products and re-forms port-constrained groups, and 2. generator restructuring, which rewr...
Description / Details
Fault-Tolerant Quantum Computation (FTQC) permits parallel execution of mutually commuting Pauli Product Rotations (PPRs), but per-qubit access point/port limits (e.g. two X and two Z edges on the surface code) force commuting groups that exceed the budget to be split, inflating circuit depth. We propose two heuristics for reducing this hardware-limited depth: 1. clique reshuffling, which permutes commuting products and re-forms port-constrained groups, and 2. generator restructuring, which rewrites each group as an equivalent generating set with reduced per-qubit port pressure. On QASMBench circuits compiled to PPRs, we combine the two heuristics and observe an average hardware-limited depth reduction of over a non-reordering baseline, with up to reduction. These observed gains scale with the per-qubit port budget and saturate near ports, suggesting these heuristics remain relevant as hardware exposes more access points.
Source: arXiv:2605.23738v1 - http://arxiv.org/abs/2605.23738v1 PDF: https://arxiv.org/pdf/2605.23738v1 Original Link: http://arxiv.org/abs/2605.23738v1
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May 25, 2026
Quantum Computing
Quantum Physics
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