Year: 2024
Type: article
Abstract: We focus on the depth optimization of CNOT circuits on hardware with limited connectivity. We adapt the algorithm from Kutin et al. that implements any n -qubit CNOT circuit in depth at most 5n on a Linear Nearest Neighbor architecture. Our proposal is a block version of Kutin et al.’s algorithm that is scalable with the number of interactions available in the hardware: the more interactions we have, the less the depth. We derive better theoretical upper bounds and provide a simple implementation of the algorithm. Overall, we achieve better depth complexity for CNOT circuits on some realistic quantum hardware like a grid or a ladder. For instance, the execution of an n -qubit CNOT circuit on a grid can be done in depth 4n+8 .
DOI: 10.1145/3700884
Authors: Timothée Goubault de Brugière, Simon Martiel
Institutions: Quandela (France), Atos (France)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4404076965
