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Holant problems capture a class of Sum-of-Product computations such as counting matchings. It is inspired by holographic algorithms and is equivalent to tensor networks, with counting CSP being a special case. A classification for Holant…

Computational Complexity · Computer Science 2017-02-10 Jin-Yi Cai , Pinyan Lu , Mingji Xia

Holant problem is a general framework to study the computational complexity of counting problems. We prove a complexity dichotomy theorem for Holant problems over Boolean domain with non-negative weights. It is the first complete Holant…

Computational Complexity · Computer Science 2017-02-21 Jiabao Lin , Hanpin Wang

Holant problems are a family of counting problems on graphs, parametrised by sets of complex-valued functions of Boolean inputs. Holant^c denotes a subfamily of those problems, where any function set considered must contain the two unary…

Quantum Physics · Physics 2018-11-05 Miriam Backens

Holant problems are a framework for the analysis of counting complexity problems on graphs. This framework is simultaneously general enough to encompass many other counting problems on graphs and specific enough to allow the derivation of…

Quantum Physics · Physics 2017-02-03 Miriam Backens

Holant problems are a family of counting problems parameterised by sets of algebraic-complex valued constraint functions, and defined on graphs. They arise from the theory of holographic algorithms, which was originally inspired by concepts…

Computational Complexity · Computer Science 2025-08-08 Miriam Backens

Holant problems are a general framework to study the computational complexity of counting problems. It is a more expressive framework than counting constraint satisfaction problems (CSP) which are in turn more expressive than counting graph…

Computational Complexity · Computer Science 2025-04-22 Jin-Yi Cai , Jin Soo Ihm

Holant problems are a general framework to study the algorithmic complexity of counting problems. Both counting constraint satisfaction problems and graph homomorphisms are special cases. All previous results of Holant problems are over the…

Computational Complexity · Computer Science 2012-07-11 Jin-Yi Cai , Pinyan Lu , Mingji Xia

We prove a complexity dichotomy for a class of counting problems expressible as bipartite 3-regular Holant problems. For every problem of the form $\operatorname{Holant}\left(f\mid =_3 \right)$, where $f$ is any integer-valued ternary…

Computational Complexity · Computer Science 2021-10-05 Jin-Yi Cai , Austen Z. Fan , Yin Liu

We prove a complexity dichotomy theorem for Holant problems over an arbitrary set of complex-valued symmetric constraint functions F on Boolean variables. This extends and unifies all previous dichotomies for Holant problems on symmetric…

Computational Complexity · Computer Science 2018-01-11 Jin-Yi Cai , Heng Guo , Tyson Williams

Valiant introduced matchgate computation and holographic algorithms. A number of seemingly exponential time problems can be solved by this novel algorithmic paradigm in polynomial time. We show that, in a very strong sense, matchgate…

Computational Complexity · Computer Science 2010-08-05 Jin-Yi Cai , Pinyan Lu , Mingji Xia

We determine the computational complexity of approximately counting the total weight of variable assignments for every complex-weighted Boolean constraint satisfaction problem (or CSP) with any number of additional unary (i.e., arity 1)…

Computational Complexity · Computer Science 2015-05-19 Tomoyuki Yamakami

We prove a complexity dichotomy theorem for a class of Holant problems on planar 3-regular bipartite graphs. The complexity dichotomy states that for every weighted constraint function $f$ defining the problem (the weights can even be…

Computational Complexity · Computer Science 2023-03-30 Jin-Yi Cai , Austen Z. Fan

We study the complexity of the parameterised counting constraint satisfaction problem: given a set of constraints over a set of variables and a positive integer $k$, how many ways are there to assign $k$ variables to 1 (and the others to 0)…

Computational Complexity · Computer Science 2026-04-29 Panagiotis Aivasiliotis , Andreas Göbel , Marc Roth

We give a complexity dichotomy theorem for the counting Constraint Satisfaction Problem (#CSP in short) with complex weights. To this end, we give three conditions for its tractability. Let F be any finite set of complex-valued functions,…

Computational Complexity · Computer Science 2015-03-19 Jin-Yi Cai , Xi Chen

We prove a complexity dichotomy for complex-weighted Holant problems with an arbitrary set of symmetric constraint functions on Boolean variables. This dichotomy is specifically to answer the question: Is the FKT algorithm under a…

Computational Complexity · Computer Science 2015-05-13 Jin-Yi Cai , Zhiguo Fu , Heng Guo , Tyson Williams

We show that an effective version of Siegel's Theorem on finiteness of integer solutions and an application of elementary Galois theory are key ingredients in a complexity classification of some Holant problems. These Holant problems,…

Computational Complexity · Computer Science 2014-04-16 Jin-Yi Cai , Heng Guo , Tyson Williams

We prove a complexity dichotomy theorem for Holant Problems on 3-regular graphs with an arbitrary complex-valued edge function. Three new techniques are introduced: (1) higher dimensional iterations in interpolation; (2) Eigenvalue Shifted…

Computational Complexity · Computer Science 2011-08-09 Michael Kowalczyk , Jin-Yi Cai

We prove a complexity dichotomy theorem for symmetric complex-weighted Boolean #CSP when the constraint graph of the input must be planar. The problems that are #P-hard over general graphs but tractable over planar graphs are precisely…

Computational Complexity · Computer Science 2013-08-07 Heng Guo , Tyson Williams

We prove a complexity classification theorem that classifies all counting constraint satisfaction problems ($\#$CSP) over Boolean variables into exactly three categories: (1) Polynomial-time tractable; (2) $\#$P-hard for general instances,…

Computational Complexity · Computer Science 2016-03-24 Jin-yi Cai , Zhiguo Fu

\textsf{Holant} is an essential framework in the field of counting complexity. For over fifteen years, researchers have been clarifying the complexity classification for complex-valued \textsf{Holant} on the Boolean domain, a challenge that…

Computational Complexity · Computer Science 2025-02-11 Boning Meng , Juqiu Wang , Mingji Xia , Jiayi Zheng
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