Quantum Algorithms for Representation-Theoretic Multiplicities
Abstract
Kostka, Littlewood-Richardson, Plethysm and Kronecker coefficients are the multiplicities of irreducible representations in the decomposition of representations of the symmetric group that play an important role in representation theory, geometric complexity and algebraic combinatorics. We give quantum algorithms for computing these coefficients whenever the ratio of dimensions of the representations is polynomial and study the computational complexity of this problem. We show that there is an efficient classical algorithm for computing the Kostka numbers under this restriction and conjecture the existence of an analogous algorithm for the Littlewood-Richardson coefficients. We argue why such classical algorithm does not straightforwardly work for the Plethysm and Kronecker coefficients and conjecture that our quantum algorithms lead to superpolynomial speedups for these problems. The conjecture about Kronecker coefficients was disproved by Greta Panova in [arXiv:2502.20253] with a classical solution which, if optimal, points to a vs polynomial gap in quantum vs classical computational complexity for an integer parameter .
Cite
@article{arxiv.2407.17649,
title = {Quantum Algorithms for Representation-Theoretic Multiplicities},
author = {Martin Larocca and Vojtech Havlicek},
journal= {arXiv preprint arXiv:2407.17649},
year = {2025}
}
Comments
v5 - substantial overhaul reflecting following results from [arXiv:2502.20253]. Added more detailed complexity analysis, explicit construction of inputs on which the Kronecker coefficient algorithm is efficient, detailed analysis of the sampling and corrected mistakes in the Sn-QFT appendix