Cloud on-demand emulation of quantum dynamics with tensor networks
- URL: http://arxiv.org/abs/2302.05253v1
- Date: Fri, 10 Feb 2023 14:08:05 GMT
- Title: Cloud on-demand emulation of quantum dynamics with tensor networks
- Authors: 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
- Abstract summary: 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.
- Score: 48.7576911714538
- License: http://creativecommons.org/licenses/by/4.0/
- 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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