Lattice Problems in NP ∩ coNP
نویسندگان
چکیده
We show that the problems of approximating the shortest and closest vector in a lattice to within a factor of √ n lie in NP intersect coNP. The result (almost) subsumes the three mutually-incomparable previous results regarding these lattice problems: Banaszczyk [7], Goldreich and Goldwasser [14], and Aharonov and Regev [2]. Our technique is based on a simple fact regarding succinct approximation of functions using their Fourier series over the lattice. This technique might be useful elsewhere – we demonstrate this by giving a simple and efficient algorithm for one other lattice problem (CVPP) improving on a previous result of Regev [26]. An interesting fact is that our result emerged from a “dequantization” of our previous quantum result in [2]. This route to proving purely classical results might be beneficial elsewhere.
منابع مشابه
On the Complexity of Lattice Problems with Polynomial Approximation Factors
Lattice problems are known to be hard to approximate to within sub-polynomial factors. For larger approximation factors, such as √ n, lattice problems are known to be in complexity classes such as NP∩ coNP and are hence unlikely to be NP-hard. Here we survey known results in this area. We also discuss some related zero-knowledge protocols for lattice problems.
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