Quantum Control for Error Correction using Mother Tee Optimization

Wael Korani, Malek Mouhoub

Abstract

Quantum Control Problem (QCP) for Error Correction (EC) is a significant issue that helps in producing an efficient quantum computer. The QCP for EC can be tackled using Stochastic Local Search (SLS) methods. However, these techniques might produce low quality results for large dimensional quantum systems. Lately, Nature-Inspired (NI) algorithms including different variants of Particle Swarm Optimization (PSO) and Deferential Evolution (DE) were implemented in several studies to tackle the QCP for EC, but the results were not promising. In this paper, we propose a quantum model that is built on our NI algorithm, called Mother Tree Optimization for QCP (MTO-QCP), to overcome the stagnation issue that the other methods suffer from. In order to assess the performance of MTO-QCP, we conducted several preliminary experiments to adjust our MTO parameters. In this regard, our MTO-QCP achieves high-fidelity (> 99.99%) for a Single-Shot (SS) three-qubit gate control at gate operation time of 26 ns. This recommended fidelity is an acceptable threshold fidelity for fault-tolerant Quantum Computing (QC) problems

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Paper Citation


in Harvard Style

Korani W. and Mouhoub M. (2021). Quantum Control for Error Correction using Mother Tee Optimization.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 554-561. DOI: 10.5220/0010194905540561


in Bibtex Style

@conference{icaart21,
author={Wael Korani and Malek Mouhoub},
title={Quantum Control for Error Correction using Mother Tee Optimization},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2021},
pages={554-561},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010194905540561},
isbn={978-989-758-484-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Quantum Control for Error Correction using Mother Tee Optimization
SN - 978-989-758-484-8
AU - Korani W.
AU - Mouhoub M.
PY - 2021
SP - 554
EP - 561
DO - 10.5220/0010194905540561