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Efficient Approximate Degenerate Ordered Statistics Decoding for Quantum Codes via Reliable Subset Reduction
Ching-Feng Kung, Kao-Yueh Kuo, Ching-Yi Lai
Efficient and scalable decoding of quantum codes is essential for high-performance quantum error correction. In this work, we introduce Reliable Subset Reduction (RSR), a reliabili…
Enhancing Fault-Tolerant Surface Code Decoding with Iterative Lattice Reweighting
Yi Tian, Y. Zheng, Xiaoting Wang +1
Efficient and realistic error decoding is crucial for fault-tolerant quantum computation (FTQC) on near-term devices. While decoding is a classical post-processing task, its effect…
Generalized quantum data-syndrome codes and belief propagation decoding for phenomenological noise
Kao-Yueh Kuo, Ching-Yi Lai
Quantum stabilizer codes often struggle with syndrome errors due to measurement imperfections. Typically, multiple rounds of syndrome extraction are employed to ensure reliable err…
Fault-Tolerant Belief Propagation for Practical Quantum Memory
Kao-Yueh Kuo, Ching-Yi Lai
A fault-tolerant approach to reliable quantum memory is essential for scalable quantum computing, as physical qubits are susceptible to noise. Quantum error correction (QEC) must b…
Reducing Quantum Error Correction Overhead with Versatile Flag-Sharing Syndrome Extraction Circuits
Pei-Hao Liou, Ching-Yi Lai
Given that quantum error correction processes are unreliable, an efficient error syndrome extraction circuit should use fewer ancillary qubits, quantum gates, and measurements, whi…