March 15, 2024, 4:10 a.m. | Yusheng Zhao, Hui Zhong, Xinyue Zhang, Chi Zhang, Miao Pan

cs.CR updates on arXiv.org arxiv.org

arXiv:2403.09173v1 Announce Type: cross
Abstract: Quantum computing has attracted significant attention in areas such as cryptography, cybersecurity, and drug discovery. Due to the advantage of parallel processing, quantum computing can speed up the response to complex challenges and the processing of large-scale datasets. However, since quantum computing usually requires sensitive datasets, privacy breaches have become a vital concern. Differential privacy (DP) is a promising privacy-preserving method in classical computing and has been extended to the quantum domain in recent years. …

arxiv attention can challenges computing cryptography cs.cr cybersecurity datasets differential privacy discovery drug drug discovery large parallel privacy quant-ph quantum quantum computing response scale speed speed up survey

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