Quantum Error Correction - Codes and Techniques: Investigating quantum error correction codes and techniques for mitigating errors in quantum computation and preserving quantum information
Keywords:
Quantum Error CorrectionAbstract
Quantum computers hold the promise of revolutionizing computation by exploiting quantum phenomena to perform calculations that are intractable for classical computers. However, quantum systems are inherently fragile, susceptible to errors due to environmental noise and imperfections in hardware. Quantum error correction (QEC) is a crucial area of research aimed at overcoming these challenges. This paper provides an overview of quantum error correction, focusing on codes and techniques for detecting and correcting errors in quantum computation. We discuss the fundamental concepts of QEC, including quantum codes, error detection, and error correction techniques. We also examine recent advancements and challenges in the field, highlighting the potential impact of quantum error correction on the development of fault-tolerant quantum computers.
Downloads
References
Pulimamidi, R., and P. Ravichandran. "Connected Health: Revolutionizing Patient Care Through Artificial Intelligence Innovations." Tuijin Jishu/Journal of Propulsion Technology44.3: 3940-3947.
Tatineni, Sumanth, and Anirudh Mustyala. "Advanced AI Techniques for Real-Time Anomaly Detection and Incident Response in DevOps Environments: Ensuring Robust Security and Compliance." Journal of Computational Intelligence and Robotics 2.1 (2022): 88-121.
Biswas, A., and W. Talukdar. “Robustness of Structured Data Extraction from In-Plane Rotated Documents Using Multi-Modal Large Language Models (LLM)”. Journal of Artificial Intelligence Research, vol. 4, no. 1, Mar. 2024, pp. 176-95, https://thesciencebrigade.com/JAIR/article/view/219.
Sontakke, Dipti, and Mr Pankaj Zanke. "Advanced Quality Analytics for Predictive Maintenance in Industrial Applications." Available at SSRN 4847933 (2024).
Ponnusamy, Sivakumar, and Pankaj Gupta. "Connecting the Dots: How Data Lineage Helps in Effective Data Governance."
Bojja, Giridhar Reddy, and Jun Liu. "Impact of it investment on hospital performance: a longitudinal data analysis." (2020).
Singh, Amarjeet, and Alok Aggarwal. "Microservices Security Secret Rotation and Management Framework for Applications within Cloud Environments: A Pragmatic Approach." Journal of AI-Assisted Scientific Discovery 3.2 (2023): 1-16.
Shahane, Vishal. "Optimizing Cloud Resource Allocation: A Comparative Analysis of AI-Driven Techniques." Advances in Deep Learning Techniques 3.2 (2023): 23-49.
Vemoori, Vamsi. "Harnessing Natural Language Processing for Context-Aware, Emotionally Intelligent Human-Vehicle Interaction: Towards Personalized User Experiences in Autonomous Vehicles." Journal of Artificial Intelligence Research and Applications 3.2 (2023): 53-86.
Tillu, Ravish, Muthukrishnan Muthusubramanian, and Vathsala Periyasamy. "From Data to Compliance: The Role of AI/ML in Optimizing Regulatory Reporting Processes." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 381-391.
Shanmugam, Lavanya, Ravish Tillu, and Suhas Jangoan. "Privacy-Preserving AI/ML Application Architectures: Techniques, Trade-offs, and Case Studies." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 398-420.
Tomar, Manish, and Vathsala Periyasamy. "Leveraging advanced analytics for reference data analysis in finance." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.1 (2023): 128-136.
Abouelyazid, Mahmoud. "Machine Learning Algorithms for Dynamic Resource Allocation in Cloud Computing: Optimization Techniques and Real-World Applications." Journal of AI-Assisted Scientific Discovery 1.2 (2021): 1-58.
Prabhod, Kummaragunta Joel. "AI-Driven Insights from Large Language Models: Implementing Retrieval-Augmented Generation for Enhanced Data Analytics and Decision Support in Business Intelligence Systems." Journal of Artificial Intelligence Research 3.2 (2023): 1-58.
Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
Gupta, Pankaj, and Sivakumar Ponnusamy. "Beyond Banking: The Trailblazing Impact of Data Lakes on Financial Landscape." International Journal of Computer Applications 975: 8887.
Zanke, Mr Pankaj, and Dipti Sontakke. "The Impact of Business Intelligence on Organizational Performance." Available at SSRN 4847945 (2024).
Shahane, Vishal. "Evolving Data Durability in Cloud Storage: A Historical Analysis and Future Directions." Journal of Science & Technology 1.1 (20
