A feed-Forward Method for Encoding a Stabilizer Code Using Measurement-Based Quantum Computing

We present an approach for encoding an <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$[[n,\ k]]$</tex> stabilizer code within the measurement-based quantum computing (MBQC) framework. Our proposed method leverages projective measurements of stabilizer generators, inspired by a stabilizer encoding methodology within gate-based quantum computation [1]. To achieve the encoding of a general stabilizer code, we introduce a suite of gadgets tailored for stabilizer projective measurements utilizing a three-dimensional regular cluster state. The sequential nature of the proposed method offers a new perspective and ensures simplicity, flexibility, and intuitive visualization for stabilizer code encoding using MBQC.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.10252
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
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article

A feed-Forward Method for Encoding a Stabilizer Code Using Measurement-Based Quantum Computing

Sanidhya Gupta, Ankur Raina
Quantum Computing Algorithms and Architecture
article

A feed-Forward Method for Encoding a Stabilizer Code Using Measurement-Based Quantum Computing

Sanidhya Gupta, Ankur Raina
article en

Abstract

We present an approach for encoding an <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$[[n,\ k]]$</tex> stabilizer code within the measurement-based quantum computing (MBQC) framework. Our proposed method leverages projective measurements of stabilizer generators, inspired by a stabilizer encoding methodology within gate-based quantum computation [1]. To achieve the encoding of a general stabilizer code, we introduce a suite of gadgets tailored for stabilizer projective measurements utilizing a three-dimensional regular cluster state. The sequential nature of the proposed method offers a new perspective and ensures simplicity, flexibility, and intuitive visualization for stabilizer code encoding using MBQC.

Indian Institute of Science Education and Research, Bhopal (IN)
Openalex Percentile: Top 77%
Quantum Computing Algorithms and Architecture
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