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Deploying Containerized QuantEx Quantum Simulation Software on HPC Systems

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arxiv 2110.05162 v1 pith:5COVHRNJ submitted 2021-10-11 cs.DC

David Brayford , John Brennan , Momme Allalen , Kenneth Hanley , Luigi Iapichino , Lee ORiordan , Niall Moran This is my paper · ORCID
classification cs.DC
keywords softwarequantumsimulationsystemscomputingcontainerizedcontractiondifferent
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The simulation of quantum circuits using the tensor network method is very computationally demanding and requires significant High Performance Computing (HPC) resources to find an efficient contraction order and to perform the contraction of the large tensor networks. In addition, the researchers want a workflow that is easy to customize, reproduce and migrate to different HPC systems. In this paper, we discuss the issues associated with the deployment of the QuantEX quantum computing simulation software within containers on different HPC systems. Also, we compare the performance of the containerized software with the software running on bare metal.

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  1. Comparing performance of variational quantum algorithm simulations on HPC systems

    quant-ph 2025-07 conditional novelty 5.0 of 10

    A parser-based toolchain can port the same Hamiltonian and ansatz across seven quantum simulators, but variational algorithms on 15 to 20 qubits show limited parallel speedup.

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