quantum computing

Explicit Matrices over with CNOT and Row Complexity and Local Logic Gates

arXiv:2607.28598

summary

The paper constructs explicit families of invertible binary matrices whose reduction to the identity needs at least 4n − o(n) elementary row operations, and shows the same lower bound holds for quantum circuits using CNOT or any local linear logic gates.

Abstract

In this article, we present an explicit family of invertible matrices over whose CNOT and row complexity is at least ; equivalently, reducing these matrices to the identity requires at least elementary row operations. Moreover, the same complexity lower bound holds in the stronger computational model where the CNOT gates are replaced by arbitrary local linear logic gates, namely arbitrary invertible linear transformations acting on pairs of coordinates. Let denote the permutation group generated by local logic gates acting on the set of binary strings of length . We prove that is naturally isomorphic to the group of all invertible affine transformations of the vector space , thus reducing the problem of estimating the quantum complexity of permutations in to the row reduction complexity of invertible matrices over . As an application, we show that the permutations associated with our explicit matrices have quantum complexity at least .

Topics & keywords

#binary matrices#row reduction complexity#CNOT gates#local linear logic gates#affine transformations#quantum circuit lower boundsinvertible matrix over Z2CNOT complexityrow operationslocal logic gatesaffine groupquantum complexity
Explicit Matrices over $\mathbb Z_2$ with CNOT and Row Complexity $4n-\mathrm{o}(n)$ and Local Logic Gates · wovepaper