arXiv · 2302.05253
Cloud on-demand emulation of quantum dynamics with tensor networks
Abstract
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.
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Kemal Bidzhiev, Aleksander Wennersteen, Mourad Beji, Mario Dagrada, Mauro D'Arcangelo, Sebastian Grijalva, Anne-Claire Le Henaff, Anton Quelle, Alvin Sashala Naik. 2023-02-10. Cloud on-demand emulation of quantum dynamics with tensor networks. https://arxiv.org/abs/2302.05253
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