An upper bound on the Universality of the Quantum Approximate Optimization Algorithm
J Ceasar Aguma

TL;DR
This paper establishes an upper bound on the universality of the Quantum Approximate Optimization Algorithm (QAOA) using Lie algebra, showing that a linear number of modifications suffices to approximate any universal gate set.
Contribution
It provides a theoretical upper bound on QAOA's ability to approximate universal gates, advancing understanding of its computational limits.
Findings
Upper bound for QAOA universality within O(n)
QAOA can approximate universal gates with linear complexity
Theoretical limits on QAOA's expressiveness
Abstract
Using lie algebra, this brief text provides an upper bound on the universality of QAOA. That is, we prove that the upper bound for the number of alterations of QAOA required to approximate a universal gate set is within O(n)
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Machine Learning and Algorithms · Quantum-Dot Cellular Automata
