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A well-studied class of functions in communication complexity are composed functions of the form $(f \comp g^n)(x,y)=f(g(x^1, y^1),..., g(x^n,y^n))$. This is a rich family of functions which encompasses many of the important examples in the…

Quantum Physics · Physics 2010-03-09 Troy Lee , Shengyu Zhang

We establish an explicit link between depth-3 formulas and one-sided approximation by depth-2 formulas, which were previously studied independently. Specifically, we show that the minimum size of depth-3 formulas is (up to a factor of n)…

Computational Complexity · Computer Science 2017-05-11 Shuichi Hirahara

The fragile complexity of a comparison-based algorithm is $f(n)$ if each input element participates in $O(f(n))$ comparisons. In this paper, we explore the fragile complexity of algorithms adaptive to various restrictions on the input,…

Data Structures and Algorithms · Computer Science 2021-02-02 Prosenjit Bose , Pilar Cano , Rolf Fagerberg , John Iacono , Riko Jacob , Stefan Langerman

In this paper the problem of finding the sparsest (i.e., minimum cardinality) critical $k$-tuple including one arbitrarily specified measurement is considered. The solution to this problem can be used to identify weak points in the…

Computational Engineering, Finance, and Science · Computer Science 2012-01-04 Kin Cheong Sou , Henrik Sandberg , Karl Henrik Johansson

We present a technique of proving lower bounds for noisy computations. This is achieved by a theorem connecting computations on a kind of randomized decision trees and sampling based algorithms. This approach is surprisingly powerful, and…

Computational Complexity · Computer Science 2015-03-03 Chinmoy Dutta , Jaikumar Radhakrishnan

A recent line of work has shown the unconditional advantage of constant-depth quantum computation, or $\mathsf{QNC^0}$, over $\mathsf{NC^0}$, $\mathsf{AC^0}$, and related models of classical computation. Problems exhibiting this advantage…

Quantum Physics · Physics 2023-12-01 Joseph Slote

Detecting parity violation on cosmological scales would provide a striking clue to new physics. Large-scale structure offers the raw statistical power -- many three-dimensional modes -- to make such tests. However, for scalar observables,…

Cosmology and Nongalactic Astrophysics · Physics 2026-03-09 Zucheng Gao , Azadeh Moradinezhad Dizgah , Zvonimir Vlah

We show conflict complexity of every total Boolean function, recently introduced in [Swagato Sanyal. A composition theorem via conict complexity. arXiv preprint arXiv:1801.03285, 2018.] to prove a composition theorem of randomized decision…

Computational Complexity · Computer Science 2020-05-12 Yaqiao Li

The topology of a separable metrizable space $M$ is \emph{generated} by a family $\mathcal{C}$ of its subsets provided that a set $A\subseteq M$ is closed in $M$ if and only if $A\cap C$ is closed in $C$ for each $C\in \mathcal{C}$. The…

Logic · Mathematics 2026-02-18 Paul Gartside , Thomas Gilton

Suppose, we are given a set of $n$ elements to be clustered into $k$ (unknown) clusters, and an oracle/expert labeler that can interactively answer pair-wise queries of the form, "do two elements $u$ and $v$ belong to the same cluster?".…

Machine Learning · Statistics 2017-06-26 Arya Mazumdar , Barna Saha

An algorithm for constructing parity-check matrices of non-binary quasi-cyclic low-density parity-check (NB QC-LDPC) codes is proposed. The algorithm finds short cycles in the base matrix and tries to eliminate them by selecting the…

Information Theory · Computer Science 2017-05-31 Stanislav Kruglik , Valeriya Potapova , Alexey Frolov

Correlation Clustering (CC) is a fundamental unsupervised learning primitive whose strongest LP-based approximation guarantees require $\Theta(n^3)$ triangle inequality constraints and are prohibitive at scale. We initiate the study of…

Machine Learning · Computer Science 2026-02-17 Ibne Farabi Shihab , Sanjeda Akter , Anuj Sharma

In this paper, we present a new method for explicitly constructing regular low-density parity-check (LDPC) codes based on $\mathbb{S}_{n}(\mathbb{F}_{q})$, the space of $n\times n$ symmetric matrices over $\mathbb{F}_{q}$. Using this…

Combinatorics · Mathematics 2016-05-26 Meng Zhao , Changli Ma , Qi Wang

We introduce a new information theoretic measure that we call Public Information Complexity (PIC), as a tool for the study of multi-party computation protocols, and of quantities such as their communication complexity, or the amount of…

Computational Complexity · Computer Science 2018-12-18 Iordanis Kerenidis , Adi Rosén , Florent Urrutia

A formal theory of simplicity is introduced, in the context of a "combinational" computation model that views computation as comprising the iterated transformational and compositional activity of a population of agents upon each other.…

Artificial Intelligence · Computer Science 2020-09-04 Ben Goertzel

We define a new query measure we call quantum distinguishing complexity, denoted QD(f) for a Boolean function f. Unlike a quantum query algorithm, which must output a state close to |0> on a 0-input and a state close to |1> on a 1-input, a…

Quantum Physics · Physics 2019-02-12 Shalev Ben-David , Robin Kothari

Parity-SAT is the problem of determining whether a given CNF formula has an odd number of satisfying assignments. As a canonical $\oplus$P-complete problem, it represents a fundamental variant of the exact model counting problem (#SAT).…

Data Structures and Algorithms · Computer Science 2026-05-18 Sanjay Jain , Junqiang Peng , Frank Stephan , Haoyun Tang , Mingyu Xiao

All known proofs of the PCP theorem rely on multiple "composition" steps, where PCPs over large alphabets are turned into PCPs over much smaller alphabets at a (relatively) small price in the soundness error of the PCP. Algebraic proofs,…

Computational Complexity · Computer Science 2026-03-25 Prashanth Amireddy , Amik Raj Behera , Srikanth Srinivasan , Madhu Sudan , Sophus Valentin Willumsgaard

Parity (XOR) classification requires detecting discrete, high-order feature interactions that smooth classical kernels cannot efficiently capture. We study how quantum kernel advantage depends on parity complexity, the number of features…

Quantum Physics · Physics 2026-05-08 Tushar Pandey

We show nearly quadratic separations between two pairs of complexity measures: 1. We show that there is a Boolean function $f$ with $D(f)=\Omega((D^{sc}(f))^{2-o(1)})$ where $D(f)$ is the deterministic query complexity of $f$ and $D^{sc}$…

Computational Complexity · Computer Science 2015-12-03 Andris Ambainis , Martins Kokainis