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Related papers: Lower Bounds for Matrix Product

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In this paper we construct quantum algorithms for matrix products over several algebraic structures called semirings, including the (max,min)-matrix product, the distance matrix product and the Boolean matrix product. In particular, we…

Quantum Physics · Physics 2021-10-05 François Le Gall , Harumichi Nishimura

We study matrix multiplication in the low-bandwidth model: There are $n$ computers, and we need to compute the product of two $n \times n$ matrices. Initially computer $i$ knows row $i$ of each input matrix. In one communication round each…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-02 Chetan Gupta , Juho Hirvonen , Janne H. Korhonen , Jan Studený , Jukka Suomela

In order to formally understand the power of neural computing, we first need to crack the frontier of threshold circuits with two and three layers, a regime that has been surprisingly intractable to analyze. We prove the first super-linear…

Computational Complexity · Computer Science 2018-02-01 Daniel M. Kane , Ryan Williams

Obtaining a non-trivial (super-linear) lower bound for computation of the Fourier transform in the linear circuit model has been a long standing open problem for over 40 years. An early result by Morgenstern from 1973, provides an $\Omega(n…

Computational Complexity · Computer Science 2014-07-25 Nir Ailon

We develop lower bounds on communication in the memory hierarchy or between processors for nested bilinear algorithms, such as Strassen's algorithm for matrix multiplication. We build on a previous framework that establishes communication…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-29 Caleb Ju , Yifan Zhang , Edgar Solomonik

Using logic gates is the traditional way of designing logic circuits. However, most of the minimization algorithms concern a limited set of gates (complete sets), like sum of products, exclusive-or sum of products, NAND gates, NOR gates…

Hardware Architecture · Computer Science 2021-05-18 A. C. Dimopoulos , C. Pavlatos , G. Papakonstantinou

Multiplication over binary fields is a crucial operation in quantum algorithms designed to solve the discrete logarithm problem for elliptic curve defined over $GF(2^n)$. In this paper, we present an algorithm for constructing quantum…

Quantum Physics · Physics 2025-01-28 Vivien Vandaele

We establish the optimal lower bound $\gtrsim N$ for counting the number of distinct inner products of pairs from any $N$ given vectors in $\R^2$. Essentially, we lift a related incidence structure defined by inner products in the plane to…

Combinatorics · Mathematics 2022-01-13 Zhipeng Lu

We present a quantum algorithm that verifies a product of two n*n matrices over any field with bounded error in worst-case time n^{5/3} and expected time n^{5/3} / min(w,sqrt(n))^{1/3}, where w is the number of wrong entries. This improves…

Quantum Physics · Physics 2007-05-23 Harry Buhrman , Robert Spalek

With the rapid development of social network applications, social network has become an important medium for people to interact. For the minimum distance computation of all pairs in networks, Alon N[4] proposed an algorithm with matrix…

Data Structures and Algorithms · Computer Science 2020-06-25 Dezhou Shen

We give new, smaller constructions of constant-depth linear circuits for computing any matrix which is the Kronecker power of a fixed matrix. A standard argument (e.g., the mixed product property of Kronecker products, or a generalization…

Data Structures and Algorithms · Computer Science 2022-11-11 Josh Alman , Yunfeng Guan , Ashwin Padaki

We use the concept of production matrices to show that there exist sets of $n$ points in the plane that admit $\Omega(42.11^n)$ crossing-free geometric graphs. This improves the previously best known bound of $\Omega(41.18^n)$ by Aichholzer…

Computational Geometry · Computer Science 2019-02-27 Clemens Huemer , Alexander Pilz , Rodrigo I. Silveira

We consider the multiplicative complexity of Boolean functions with multiple bits of output, studying how large a multiplicative complexity is necessary and sufficient to provide a desired nonlinearity. For so-called $\Sigma\Pi\Sigma$…

Computational Complexity · Computer Science 2018-02-23 Magnus Gausdal Find , Joan Boyar

A bilinear quadrature numerically evaluates a continuous bilinear map, such as the $L^2$ inner product, on continuous $f$ and $g$ belonging to known finite-dimensional function spaces. Such maps arise in Galerkin methods for differential…

Numerical Analysis · Mathematics 2015-09-29 Christopher A. Wong

In this paper, we give strong lower bounds on the size of the sets of products of matrices in some certain groups. More precisely, we prove an analogue of a result due to Chapman and Iosevich for matrices in $SL_2(\mathbb{F}_p)$ with…

Number Theory · Mathematics 2018-03-29 Doowon Koh , Thang Pham , Chun-Yen Shen , Le Anh Vinh

Any monotone Boolean circuit computing the $n$-dimensional Boolean convolution requires at least $n^2$ and-gates. This precisely matches the obvious upper bound.

Computational Complexity · Computer Science 2020-01-22 Mike S. Paterson

The best known size lower bounds against unrestricted circuits have remained around $3n$ for several decades. Moreover, the only known technique for proving lower bounds in this model, gate elimination, is inherently limited to proving…

Computational Complexity · Computer Science 2020-12-09 Alexander Golovnev , Alexander S. Kulikov , R. Ryan Williams

Optimizing the size and depth of CNOT circuits is an active area of research in quantum computing and is particularly relevant for circuits synthesized from the Clifford + T universal gate set. Although many techniques exist for finding…

Quantum Physics · Physics 2025-07-15 Alan Bu , Evan Fan , Robert Sanghyeon Joo

In this paper, we show that the time complexity of monotone min-plus product of two $n\times n$ matrices is $\tilde{O}(n^{(3+\omega)/2})=\tilde{O}(n^{2.687})$, where $\omega < 2.373$ is the fast matrix multiplication exponent [Alman and…

Data Structures and Algorithms · Computer Science 2022-06-20 Shucheng Chi , Ran Duan , Tianle Xie , Tianyi Zhang

We study the problem of constructing explicit families of matrices which cannot be expressed as a product of a few sparse matrices. In addition to being a natural mathematical question on its own, this problem appears in various…

Computational Complexity · Computer Science 2019-04-03 Mrinal Kumar , Ben Lee Volk