3 papers
quant-ph2025
An exploration of the noise sensitivity of the Shor's algorithm
Fusheng Yang, Zhipeng Liang, Zhengzhong Yi +1
Quantum algorithms face significant challenges due to qubit susceptibility to environmental noise, and quantum error correction typically requires prohibitive resource overhead. Th…
quant-ph2025
Quantum XYZ cyclic codes for biased noise
Zhipeng Liang, Fusheng Yang, Zhengzhong Yi +1
In some quantum computing architectures, Pauli noise is highly biased. Tailoring Quantum error-correcting codes to the biased noise may benefit reducing the physical qubit overhead…
cs.CR2022
Privacy-Preserving Distributed Machine Learning Made Faster
Zoe L. Jiang, Jiajing Gu, Hongxiao Wang +5
With the development of machine learning, it is difficult for a single server to process all the data. So machine learning tasks need to be spread across multiple servers, turning…