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The computation of determinants plays a central role in diagrammatic Monte Carlo algorithms for strongly correlated systems. The evaluation of large numbers of determinants can often be the limiting computational factor determining the…

Strongly Correlated Electrons · Physics 2022-04-06 Fedor Šimkovic , Michel Ferrero

The algorithm and complexity of approximating the permanent of a matrix is an extensively studied topic. Recently, its connection with quantum supremacy and more specifically BosonSampling draws special attention to the average-case…

Data Structures and Algorithms · Computer Science 2019-12-02 Zhengfeng Ji , Zhihan Jin , Pinyan Lu

We prove that for any $\lambda > 1$, fixed in advance, the permanent of an $n \times n$ complex matrix, where the absolute value of each diagonal entry is at least $\lambda$ times bigger than the sum of the absolute values of all other…

Combinatorics · Mathematics 2018-09-13 Alexander Barvinok

Starting with the zero-square "zeon algebra" the connection with permanents is shown. Permanents of sub-matrices of a linear combination of the identity matrix and all-ones matrix leads to moment polynomials with respect to the exponential…

Combinatorics · Mathematics 2017-10-03 Philip Feinsilver , John McSorley

The Jones polynomial, discovered in 1984, is an important knot invariant in topology. Among its many connections to various mathematical and physical areas, it is known (due to Witten) to be intimately connected to Topological Quantum Field…

Quantum Physics · Physics 2007-05-23 Dorit Aharonov , Vaughan Jones , Zeph Landau

The rank of an n x n matrix A is equal to the size of its largest square submatrix with a nonzero determinant, and it can be computed in O(n^2.37) time. Analogously, the size of the largest square submatrix with nonzero permanent is defined…

Combinatorics · Mathematics 2025-12-25 Priyanshu Pant , Surabhi Chakrabartty , Ranveer Singh

We construct a quantum-inspired classical algorithm for computing the permanent of Hermitian positive semidefinite matrices, by exploiting a connection between these mathematical structures and the boson sampling model. Specifically, the…

Quantum Physics · Physics 2017-09-01 L. Chakhmakhchyan , N. J. Cerf , R. Garcia-Patron

Every square matrix $A=(a_{uv})\in \mathcal{C}^{n\times n}$ can be represented as a digraph having $n$ vertices. In the digraph, a block (or 2-connected component) is a maximally connected subdigraph that has no cut-vertex. The determinant…

Computational Complexity · Computer Science 2018-10-12 Ranveer Singh , Vivek Vijay , RB Bapat

In this paper we study the computational complexity of computing the noncommutative determinant. We first consider the arithmetic circuit complexity of computing the noncommutative determinant polynomial. Then, more generally, we also…

Computational Complexity · Computer Science 2009-10-26 V. Arvind , Srikanth Srinivasan

We introduce a new notion of the determinant, called symmetrized determinant, for a square matrix with the entries in an associative algebra $\AA$. The monomial expansion of the symmetrized determinant is obtained from the standard…

Combinatorics · Mathematics 2007-05-23 Alexander Barvinok

One of the crown jewels of complexity theory is Valiant's 1979 theorem that computing the permanent of an n*n matrix is #P-hard. Here we show that, by using the model of linear-optical quantum computing---and in particular, a universality…

Quantum Physics · Physics 2015-05-30 Scott Aaronson

Let $x_1,x_2,...,x_n$ be the zeroes of a polynomial P(x) of degree n and $y_1,y_2,...,y_m$ be the zeroes of another polynomial Q(y) of degree m. Our object of study is the permanent $\per(1/(x_i-y_j))_{1\le i\le n, 1\le j\le m}$, here named…

Rings and Algebras · Mathematics 2007-05-23 Guo-Niu Han , Christian Krattenthaler

We show that the permanent of a matrix can be written as the expectation value of a function of random variables each with zero mean and unit variance. This result is used to show that Glynn's theorem and a simplified MacMahon theorem…

Combinatorics · Mathematics 2021-06-23 Mobolaji Williams

Let $A$ be an $n \times n$ positive definite Hermitian matrix with all eigenvalues between 1 and 2. We represent the permanent of $A$ as the integral of some explicit log-concave function on ${\Bbb R}^{2n}$. Consequently, there is a fully…

Data Structures and Algorithms · Computer Science 2020-05-14 Alexander Barvinok

The polynomial-time computability of the permanent over fields of characteristic 3 for k-semi-unitary matrices (i.e. square matrices such that the differences of their Gram matrices and the corresponding identity matrices are of rank k) in…

Computational Complexity · Computer Science 2020-11-04 Anna Knezevic , Greg Cohen , Marina Domanskaya

We construct a deterministic approximation algorithm for computing a permanent of a $0,1$ $n$ by $n$ matrix to within a multiplicative factor $(1+\epsilon)^n$, for arbitrary $\epsilon>0$. When the graph underlying the matrix is a constant…

Combinatorics · Mathematics 2007-05-23 David Gamarnik , Dmitriy Katz

The paper addresses the calculation of correlation functions of permanental polynomials of matrices with random entries. By exploiting a convenient contour integral representation of the matrix permanent some explicit results are provided…

Mathematical Physics · Physics 2007-05-23 Yan V Fyodorov

In this paper, we consider the problem of deciding the existence of real solutions to a system of polynomial equations having real coefficients, and which are invariant under the action of the symmetric group. We construct and analyze a…

Symbolic Computation · Computer Science 2023-06-08 George Labahn , Cordian Riener , Mohab Safey El Din , Éric Schost , Thi Xuan Vu

We propose an algorithm for determining the irreducible polynomials over finite fields, based on the use of the companion matrix of polynomials and the generalized Jordan normal form of square matrices.

Number Theory · Mathematics 2015-08-13 Samuel H. Dalalyan

We design a deterministic polynomial time $c^n$ approximation algorithm for the permanent of positive semidefinite matrices where $c=e^{\gamma+1}\simeq 4.84$. We write a natural convex relaxation and show that its optimum solution gives a…

Combinatorics · Mathematics 2017-04-13 Nima Anari , Leonid Gurvits , Shayan Oveis Gharan , Amin Saberi