KSII Transactions on Internet and Information Systems
Parallel Low-Depth Flagged Syndrome Extraction for Quantum Stabilizer Codes
Yunxing Zhang, Lan Luo, Chaofeng Guan
Abstract
In this work, we propose a parallel low-depth flagged syndrome extraction protocol for faulttolerant quantum error correction.The protocol combines parallel measurement of different stabilizers with dynamic selection of a minimal stabilizer set, guided by flag outcomes.Circuit-level optimizations, including CNOT reordering, are integrated while rigorously preserving fault-tolerance guarantees.Implementations for several distance-3 and distance-5 codes achieve substantial reductions in circuit depth and idle locations.Numerical simulations under a circuit-level depolarizing noise model demonstrate consistent pseudo-threshold improvements, such as 12.56% and 4.43% over prior schemes for [[5, 1, 3]], 16.2% for [[7, 1, 3]], and 14.55% to 30.13% for distance-5 codes, confirming the effectiveness of the cooptimized approach.This co-optimized framework offers a practical pathway towards more resource-efficient fault-tolerant quantum computation.