Tensor Decomposition for Non-Clifford Gate Minimization
Quantum Physics
2026-02-18 v1 Data Structures and Algorithms
Abstract
Fault-tolerant quantum computation requires minimizing non-Clifford gates, whose implementation via magic state distillation dominates the resource costs. While -count minimization is well-studied, dedicated factories shift the natural target to direct Toffoli minimization. We develop algebraic methods for this problem, building on a connection between Toffoli count and tensor decomposition over . On standard benchmarks, these methods match or improve all reported results for both Toffoli and -count, with most circuits completing in under a minute on a single CPU instead of thousands of TPUs used by prior work.
Cite
@article{arxiv.2602.15285,
title = {Tensor Decomposition for Non-Clifford Gate Minimization},
author = {Kirill Khoruzhii and Patrick Gelß and Sebastian Pokutta},
journal= {arXiv preprint arXiv:2602.15285},
year = {2026}
}