Characterizing the Bethe Partition Function of Double-Edge Factor Graphs via Graph Covers

Yuwen Huang, P. Vontobel
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Abstract

For standard factor graphs (S-FGs), i.e., factor graphs with local functions taking on non-negative real values, Vontobel gave a characterization of the Bethe approximation to the partition function in terms of the partition function of finite graph covers. The proof of that statement heavily relied on the method of types.In this paper we give a similar characterization for so-called double-edge factor graphs (DE-FGs), which are a class of factor graphs where local functions take on complex values and have to satisfy some positive semi-definiteness constraints. Such factor graphs are of interest in quantum information processing.In general, approximating the partition function of DE-FGs is more challenging than for S-FGs because the partition function is a sum of complex values and not just a sum of non-negative real values. In particular, for proving the above-mentioned characterization of the Bethe approximation in terms of finite graph covers, one cannot use the method of types anymore. We overcome this challenge by applying the loop-calculus transform by Chertkov and Chernyak, along with using the symmetricsubspace transform, a novel technique for factor graphs that should be of interest beyond proving the main result of this paper. Currently, the characterization of the Bethe approximation of the partition function of DE-FGs is for DE-FGs satisfying an (easily checkable) condition. However, based on numerical results, we suspect that the characterization holds more broadly.
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利用图盖刻画双边因子图的Bethe配分函数
对于标准因子图(s - fg),即局部函数取非负实值的因子图,Vontobel给出了有限图盖的配分函数对配分函数的Bethe逼近的刻画。这种说法的证明在很大程度上依赖于类型方法。在本文中,我们对所谓的双边因子图(de - fg)给出了类似的描述,它是一类局部函数取复值并且必须满足某些正半确定约束的因子图。这种因子图在量子信息处理中很有意义。一般来说,de - fg的配分函数的近似比s - fg的更具有挑战性,因为配分函数是复数值的和,而不仅仅是非负实值的和。特别是,对于用有限图盖证明贝特近似的上述性质,不能再使用类型方法。我们通过应用Chertkov和Chernyak的循环微积分变换,以及使用对称子空间变换来克服这个挑战,对称子空间变换是一种新的因子图技术,除了证明本文的主要结果之外,它应该是有趣的。目前,de - fg配分函数的Bethe近似的表征是针对满足一个(容易检查的)条件的de - fg。然而,基于数值结果,我们怀疑这种特征适用范围更广。
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