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

Synthesis lectures on quantum computing

The Complexity of Noise: A Philosophical Outlook on Quantum Error Correction

Amit Hagar

Published Jan 1, 2010• 2 citations
Publisher
DOI
10.2200/s00290ed1v01y201007qmc004

Related papers

Foundations of quantum error correction

Wen-Ching Li

AMS/IP studies in advanced mathematics•Jul 20, 2007•4 citations

Quantum Error Correction: Topological Protection Algorithms

Jincheng Zhang

Quantum information processing offers unparalleled computational power, but it is inherently susceptible to noise and errors. Quantum error correction (QEC) is crucial for achieving reliable quantum computation, but traditional QEC methods face significant challenges in handling complex quantum noise. This paper proposes a novel quantum error correction algorithm based on topological protection, aiming to enhance the robustness of QEC against noise by leveraging the inherent structure of quantum states. The core mechanism involves constructing a topological quantum state that resists manipulation by error sources. This approach promises a more robust and efficient QEC scheme compared to existing methods. The proposed algorithm exhibits improved performance in mitigating quantum noise through a novel topological protection mechanism.

•Aug 31, 2026•0 citations

Refining quantum fidelity: approaches in quantum error correction

Vikram Singh Thakur, Atul Kumar, Kapal Dev

Quantum Information Processing•Jun 23, 2025•1 citation

Superconducting Circuits for Quantum Information: An Outlook

Michel Devoret, Robert J. Schoelkopf

The performance of superconducting qubits has improved by several orders of magnitude in the past decade. These circuits benefit from the robustness of superconductivity and the Josephson effect, and at present they have not encountered any hard physical limits. However, building an error-corrected information processor with many such qubits will require solving specific architecture problems that constitute a new field of research. For the first time, physicists will have to master quantum error correction to design and operate complex active systems that are dissipative in nature, yet remain coherent indefinitely. We offer a view on some directions for the field and speculate on its future.

Science•Mar 7, 2013•2,117 citations

Quantum Error Correction: Noise-Adapted Techniques and Applications

Akshaya Jayashankar, Prabha Mandayam

arXiv:2208.00365•Journal of the Indian Institute of Science•Sep 7, 2022•33 citations

Title: Modular Quantum Error Correction with Adaptive Thresholds

Jincheng Zhang

Quantum information processing, while promising, is inherently susceptible to errors due to the fragile nature of quantum states. Quantum error correction (QEC) is crucial for achieving reliable quantum computation, but existing protocols often suffer from limitations in their robustness. This paper explores a novel approach to QEC utilizing adaptive thresholding based on observed error patterns, aiming to significantly improve resilience to noise. We propose a dynamic threshold adjustment mechanism that learns a 'noise profile' and adapts the threshold accordingly, providing a more effective and robust solution than traditional fixed thresholds. The core mechanism hinges on a self-learning algorithm that analyzes the quantum state and its evolution to determine the optimal threshold for error detection and correction. This research addresses a fundamental challenge in QEC – the need for adaptive thresholds in the presence of complex noise – and presents a framework for enhancing the overall error correction capabilities of quantum systems. The theoretical underpinnings and implementation details are detailed within the paper.

•Aug 31, 2026•0 citations
Quantum information processing offers unparalleled computational power, but it is inherently susceptible to noise and errors. Quantum error correction (QEC) is crucial for achieving reliable quantum computation, but traditional QEC methods face significant challenges in handling complex quantum noise. This paper proposes a novel quantum error correction algorithm based on topological protection, aiming to enhance the robustness of QEC against noise by leveraging the inherent structure of quantum states. The core mechanism involves constructing a topological quantum state that resists manipulation by error sources. This approach promises a more robust and efficient QEC scheme compared to existing methods. The proposed algorithm exhibits improved performance in mitigating quantum noise through a novel topological protection mechanism.
The performance of superconducting qubits has improved by several orders of magnitude in the past decade. These circuits benefit from the robustness of superconductivity and the Josephson effect, and at present they have not encountered any hard physical limits. However, building an error-corrected information processor with many such qubits will require solving specific architecture problems that constitute a new field of research. For the first time, physicists will have to master quantum error correction to design and operate complex active systems that are dissipative in nature, yet remain coherent indefinitely. We offer a view on some directions for the field and speculate on its future.
Quantum information processing, while promising, is inherently susceptible to errors due to the fragile nature of quantum states. Quantum error correction (QEC) is crucial for achieving reliable quantum computation, but existing protocols often suffer from limitations in their robustness. This paper explores a novel approach to QEC utilizing adaptive thresholding based on observed error patterns, aiming to significantly improve resilience to noise. We propose a dynamic threshold adjustment mechanism that learns a 'noise profile' and adapts the threshold accordingly, providing a more effective and robust solution than traditional fixed thresholds. The core mechanism hinges on a self-learning algorithm that analyzes the quantum state and its evolution to determine the optimal threshold for error detection and correction. This research addresses a fundamental challenge in QEC – the need for adaptive thresholds in the presence of complex noise – and presents a framework for enhancing the overall error correction capabilities of quantum systems. The theoretical underpinnings and implementation details are detailed within the paper.