Quantum Surface Topological Code for Bell State Stabilization in Superconducting Physical Qubit Systems

Stabilizing quantum states in physical qubits quantum computers has been a widely explored topic in the Noisy Intermediate-Scale Quantum era. However, much of this work has focused on simulation rather than practical implementation. In this study, an experimental advancement in Bell state stabilization is presented, which utilizes surface codes for quantum error correction across three quantum computers: ibm_fez, ibm_torino, and ibm_brisbane. Our findings indicate that error correction produces an improvement of approximately 3% in accuracy for 127-qubit systems while demonstrating a more significant enhancement of around 20% for 156-qubit systems in stabilizing the Bell state with fidelity up to 0.6 in all the experiments. This paper outlines the methodology for implementing this strategy in other applications, offering a pathway to improve results (≈20%) when experimenting with superconducting quantum computers.

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Publication Details

Journal
Mathematics
Published
2025-06-20
DOI
https://doi.org/10.3390/math13132041
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantum Surface Topological Code for Bell State Stabilization in Superconducting Physical Qubit Systems

Humberto Sossa, Jesús Yaljá Montiel-Pérez, Erik Zamora, Elsa Rubio-Espino et al.
Mathematics
Quantum Computing Algorithms and Architecture
article

Quantum Surface Topological Code for Bell State Stabilization in Superconducting Physical Qubit Systems

Humberto Sossa, Jesús Yaljá Montiel-Pérez, Erik Zamora, Elsa Rubio-Espino, Víctor H. Ponce-Ponce, Jordi Fabián González-Contreras
article en

Abstract

Stabilizing quantum states in physical qubits quantum computers has been a widely explored topic in the Noisy Intermediate-Scale Quantum era. However, much of this work has focused on simulation rather than practical implementation. In this study, an experimental advancement in Bell state stabilization is presented, which utilizes surface codes for quantum error correction across three quantum computers: ibm_fez, ibm_torino, and ibm_brisbane. Our findings indicate that error correction produces an improvement of approximately 3% in accuracy for 127-qubit systems while demonstrating a more significant enhancement of around 20% for 156-qubit systems in stabilizing the Bell state with fidelity up to 0.6 in all the experiments. This paper outlines the methodology for implementing this strategy in other applications, offering a pathway to improve results (≈20%) when experimenting with superconducting quantum computers.

MathematicsVol. 13(13)
Instituto Politécnico Nacional (MX)
Instituto Politécnico Nacional, Secretaría de Estado de Ciencia, Tecnología e Innovación
Industry, innovation and infrastructure
Openalex Percentile: Top 93%
Quantum Computing Algorithms and Architecture
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