Optimal complexity of parameterized quantum circuits
Guilherme Il\'ario Correr, Pedro C. Azado, Diogo O. Soares-Pinto,, Gabriel Carlo

TL;DR
This paper investigates the complexity of parameterized quantum circuits, showing they reach asymptotic complexity faster than random circuits, with topology and majorization as key factors influencing their expressibility and entanglement.
Contribution
It provides a comparative analysis of parameterized quantum circuits versus random circuits, highlighting the importance of topology and majorization in their complexity and expressibility.
Findings
Parameterized quantum circuits reach asymptotic complexity faster than random circuits.
Topology significantly influences the complexity and expressibility of quantum circuits.
Majorization is a useful tool alongside entanglement measures for analyzing circuit capabilities.
Abstract
Parameterized quantum circuits play a key role for the development of quantum variational algorithms in the realm of the NISQ era. Knowing their actual capability of performing different kinds of tasks is then of the utmost importance. By comparing them with a prototypical class of universal random circuits we have found that their approach to the asymptotic complexity defined by the Haar measure is faster, needing less gates to reach it. Topology has been revealed crucial for this. The majorization criterion has proven as a relevant complementary tool to the expressibility and the mean entanglement.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Computability, Logic, AI Algorithms · Quantum-Dot Cellular Automata
