Adaptive Window Decoding based on Spatiotemporal Complementary Gap
The paper proposes an adaptive window decoding scheme for quantum error correction that speeds up processing by using smaller buffers initially. It introduces a new soft information called the spatiotemporal complementary gap to intelligently decide when to enlarge these buffers, reducing average decoding time by about 40% while maintaining the required logical error rate.