静5青年讲座 | Efficient high-threshold decoding for concatenated quantum Hamming code

In this talk, I will present a polynomial-time hard-decision decoder for concatenated quantum codes that improves on conventional local decoding by using higher-level syndrome information to revise lower-level recovery decisions. We refer to this approach as the bidirectional decoder. As a benchmark, we apply it to the concatenated [[15,7,3]] quantum Hamming code under independent bit-flip noise, where it improves the decoding threshold by nearly a factor of three. Numerical results further indicate that it preserves the full code-distance scaling for at least three levels of concatenation. These results suggest that improved decoding can make high-rate concatenated-code architectures more competitive for low-overhead fault-tolerant quantum computation.

Shilin Huang is an Assistant Professor in the Department of Physics at the Hong Kong University of Science and Technology. His research focuses on quantum information science, with interests including quantum error correction and fault tolerance. Before joining HKUST, he was a Postdoctoral Associate at Yale Quantum Institute. He received his PhD from Duke University, and completed his undergraduate studies at Tsinghua University.