Q-Embroidery: A Study on Weaving Quantum Error Correction into the
Fabric of Quantum Classifiers
- URL: http://arxiv.org/abs/2402.11127v3
- Date: Mon, 4 Mar 2024 01:18:05 GMT
- Title: Q-Embroidery: A Study on Weaving Quantum Error Correction into the
Fabric of Quantum Classifiers
- Authors: Avimita Chatterjee, Debarshi Kundu and Swaroop Ghosh
- Abstract summary: This study makes a pioneering contribution by applying quantum error correction codes (QECCs) for complex, multi-qubit classification tasks.
We implement 1-qubit and 2-qubit quantum classifiers with QECCs, specifically the Steane code, and the distance 3 & 5 surface codes to analyze 2-dimensional and 4-dimensional datasets.
Results emphasize that the effectiveness of a QECC in practical scenarios depends on various factors, including qubit availability, desired accuracy, and the specific types and levels of physical errors.
- Score: 2.348041867134616
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Quantum computing holds transformative potential for various fields, yet its
practical application is hindered by the susceptibility to errors. This study
makes a pioneering contribution by applying quantum error correction codes
(QECCs) for complex, multi-qubit classification tasks. We implement 1-qubit and
2-qubit quantum classifiers with QECCs, specifically the Steane code, and the
distance 3 & 5 surface codes to analyze 2-dimensional and 4-dimensional
datasets. This research uniquely evaluates the performance of these QECCs in
enhancing the robustness and accuracy of quantum classifiers against various
physical errors, including bit-flip, phase-flip, and depolarizing errors. The
results emphasize that the effectiveness of a QECC in practical scenarios
depends on various factors, including qubit availability, desired accuracy, and
the specific types and levels of physical errors, rather than solely on
theoretical superiority.
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