加密数据上的实用量子计算
Practical quantum computing on encrypted data
摘要：
对加密数据执行计算的能力是保护客户隐私的强大工具，特别是在当今的云计算和分布式计算时代。在隐私方面，经典技术所能实现的最佳解决方案不幸地不是无条件安全的，因为它们依赖于黑客的计算能力。在这里，我们从理论上研究，并实验证明与高斯位移和压缩操作，量子解决方案，实现了无条件的安全性，用户的隐私使用的实用技术的连续变量。我们演示了客户端和服务器之间的两种方式高达10公里的损失，并表明仍然可以实现安全性。我们的方法提供了许多实际的好处，最终可以使这种量子技术在未来基于云的计算网络中得到潜在的广泛采用。
英文摘要：
The ability to perform computations on encrypted data is a powerful tool for protecting a client's privacy, especially in today's era of cloud and distributed computing. In terms of privacy, the best solutions that classical techniques can achieve are unfortunately not unconditionally secure in the sense that they are dependent on a hacker's computational power. Here we theoretically investigate, and experimentally demonstrate with Gaussian displacement and squeezing operations, a quantum solution that achieves the unconditional security of a user's privacy using the practical technology of continuous variables. We demonstrate losses of up to 10 km both ways between the client and the server and show that security can still be achieved. Our approach offers a number of practical benefits, which can ultimately allow for the potential widespread adoption of this quantum technology in future cloud-based computing networks.
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