We introduce a tensor network based emulator, simulating a programmable analog quantum processing unit (QPU). The software package is fully integrated in a cloud platform providing a common interface for executing jobs on a HPC cluster as well as dispatching them to a QPU device. We also present typical emulation use cases in the context of Neutral Atom Quantum Processors, such as evaluating the quality of a state preparation pulse sequence, and solving Maximum Independent Set problems by applying a parallel sweep over a set of input pulse parameter values, for systems composed of a large number of qubits.
@article{arxiv.2302.05253,
title = {Cloud on-demand emulation of quantum dynamics with tensor networks},
author = {Kemal Bidzhiev and Aleksander Wennersteen and Mourad Beji and Mario Dagrada and Mauro D'Arcangelo and Sebastian Grijalva and Anne-Claire Le Henaff and Anton Quelle and Alvin Sashala Naik},
journal= {arXiv preprint arXiv:2302.05253},
year = {2023}
}