Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Studies in computational intelligence

Error Correction in Quantum Computing

Jesús Yaljá Montiel-Pérez, Jordi Fabián González-Contreras, Erik Zamora, Humberto Sossa

Published Jan 1, 2025• 0 citations
Publisher
DOI
10.1007/978-3-031-85614-3_9

Related papers

Error Correction for Quantum Computers

WORLD SCIENTIFIC eBooks•Jul 1, 1998•0 citations

Continuous quantum error correction

Mohan Sarovar, Gerard J Milburn

Quantum error correction is an essential ingredient for quantum computation. The standard descriptions of how to implement active error correction assume ideal resources such as projective measurements and instantaneous gate operations. Unfortunately in practice such resources are not realizable in most quantum computing architectures and it is not clear how such error correction implementations will perform under more realistic conditions. Motivated by this we examine schemes for implementing active error correction that use a more modest set of resources. This leads to new implementations of error correction that are continuous in time, and thus described by continuous dynamical maps. We evaluate the performance of such schemes using numerical simulations and comment on the applicability and effectiveness of continuous error correction for quantum computing.

arXiv:quant-ph/0501049•Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE•May 23, 2005•9 citations

Dynamically Generated Quantum Error Correction Codes

Jincheng Zhang

Quantum computation holds immense promise for scientific breakthroughs and technological advancements, but the inherent fragility of quantum states necessitates robust error correction. Current error correction protocols, while effective, are often computationally intensive and limited by the complexity of the error correction codes themselves. This paper explores a novel approach leveraging dynamically generated quantum error correction codes to enhance the fidelity of quantum computations. We propose a quantum circuit architecture that generates error correction codes based on the current state of the computation, dynamically adjusting the code complexity. This dynamic adjustment aims to mitigate the computational burden associated with traditional error correction methods, paving the way for more efficient and scalable quantum systems.

•Sep 4, 2026•0 citations

Error correction for adiabatic quantum computing

Kevin C Young

Bulletin of the American Physical Society•Mar 5, 2014•0 citations

Basics of Quantum Error Correction

Stefano Olivares

Lecture notes in physics•Jan 1, 2025•0 citations

Title: Dynamic Topology for Quantum Error Correction

Jincheng Zhang

Quantum error correction is a fundamental challenge in the development of practical quantum computers. Quantum systems are highly susceptible to noise, which can easily introduce errors that compromise the computation. Traditional error correction techniques often rely on pre-defined error correction codes, which can be inefficient and require substantial overhead. This paper proposes a novel dynamic topology-aware error correction protocol leveraging a dynamically adjusting topology of a quantum circuit. We demonstrate that this approach can significantly mitigate the effects of noise by proactively correcting errors as they occur, offering a promising pathway towards more robust quantum computations. This work addresses a critical challenge in quantum computing by providing a new design strategy for error correction that goes beyond static protocols.

•Sep 5, 2026•0 citations
Quantum error correction is an essential ingredient for quantum computation. The standard descriptions of how to implement active error correction assume ideal resources such as projective measurements and instantaneous gate operations. Unfortunately in practice such resources are not realizable in most quantum computing architectures and it is not clear how such error correction implementations will perform under more realistic conditions. Motivated by this we examine schemes for implementing active error correction that use a more modest set of resources. This leads to new implementations of error correction that are continuous in time, and thus described by continuous dynamical maps. We evaluate the performance of such schemes using numerical simulations and comment on the applicability and effectiveness of continuous error correction for quantum computing.
Quantum computation holds immense promise for scientific breakthroughs and technological advancements, but the inherent fragility of quantum states necessitates robust error correction. Current error correction protocols, while effective, are often computationally intensive and limited by the complexity of the error correction codes themselves. This paper explores a novel approach leveraging dynamically generated quantum error correction codes to enhance the fidelity of quantum computations. We propose a quantum circuit architecture that generates error correction codes based on the current state of the computation, dynamically adjusting the code complexity. This dynamic adjustment aims to mitigate the computational burden associated with traditional error correction methods, paving the way for more efficient and scalable quantum systems.
Quantum error correction is a fundamental challenge in the development of practical quantum computers. Quantum systems are highly susceptible to noise, which can easily introduce errors that compromise the computation. Traditional error correction techniques often rely on pre-defined error correction codes, which can be inefficient and require substantial overhead. This paper proposes a novel dynamic topology-aware error correction protocol leveraging a dynamically adjusting topology of a quantum circuit. We demonstrate that this approach can significantly mitigate the effects of noise by proactively correcting errors as they occur, offering a promising pathway towards more robust quantum computations. This work addresses a critical challenge in quantum computing by providing a new design strategy for error correction that goes beyond static protocols.