期刊
LINEAR ALGEBRA AND ITS APPLICATIONS
卷 466, 期 -, 页码 357-381出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.laa.2014.09.050
关键词
Counting complexity; Tensor network; Monoidal categories
资金
- Defense Advanced Research Projects Agency [N66001-10-1-4040]
- Applied Research Laboratory's Exploratory and Foundational Research Program
Generalized counting constraint satisfaction problems include Holant problems with planarity restrictions; polynomial-time algorithms for such problems include matchgates and matchcircuits, which are based on Pfaffians. In particular, they use gates which are expressible in terms of a vector of sub-Pfaffians of a skew-symmetric matrix. We introduce a new type of circuit based instead on determinants, with seemingly different expressive power. In these determinantal circuits, a gate is represented by the vector of all minors of an arbitrary matrix. Determinantal circuits permit a different class of gates. Applications of these circuits include proofs of theorems from algebraic graph theory including the Chung-Langlands formula for the number of rooted spanning forests of a graph and computing Tutte polynomials of certain matroids. They also give a strategy for simulating quantum circuits with closed timelike curves. Monoidal category theory provides a useful language for discussing such counting problems, turning combinatorial restrictions into categorical properties. We introduce the counting problem in monoidal categories and count-preserving functors as a way to study FP subclasses of problems in settings which are generally #P-hard. Using this machinery we show that, surprisingly, determinantal circuits can be simulated by Pfaffian circuits at quadratic cost. (C) 2014 Elsevier Inc. All rights reserved.
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