Quantum-enhanced Sensing - Precision Measurement: Studying quantum-enhanced sensing techniques for achieving precision measurements beyond classical limits in fields such as metrology and geophysics
Keywords:
Quantum-enhanced sensing, Precision measurement, MetrologyAbstract
Quantum-enhanced sensing has emerged as a promising field offering precision measurements beyond classical limits. This paper reviews the state-of-the-art techniques and their applications in metrology and geophysics. We explore the underlying principles of quantum sensing, including quantum metrology, entanglement-enhanced sensing, and squeezed states. We also discuss the challenges and future prospects of quantum-enhanced sensing technologies.
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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.
Bojja, Giridhar Reddy, and Jun Liu. "Impact of it investment on hospital performance: a longitudinal data analysis." (2020).
Vemoori, Vamsi. "Towards a Driverless Future: A Multi-Pronged Approach to Enabling Widespread Adoption of Autonomous Vehicles-Infrastructure Development, Regulatory Frameworks, and Public Acceptance Strategies." Blockchain Technology and Distributed Systems 2.2 (2022): 35-59.
Tillu, Ravish, Muthukrishnan Muthusubramanian, and Vathsala Periyasamy. "Transforming regulatory reporting with AI/ML: strategies for compliance and efficiency." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.1 (2023): 145-157.
Bayani, Samir Vinayak, Ravish Tillu, and Jawaharbabu Jeyaraman. "Streamlining Compliance: Orchestrating Automated Checks for Cloud-based AI/ML Workflows." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 413-435.
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. "Advanced Artificial Intelligence Techniques for Real-Time Predictive Maintenance in Industrial IoT Systems: A Comprehensive Analysis and Framework." Journal of AI-Assisted Scientific Discovery 3.1 (2023): 271-313.
Prabhod, Kummaragunta Joel. "Leveraging Generative AI and Foundation Models for Personalized Healthcare: Predictive Analytics and Custom Treatment Plans Using Deep Learning Algorithms." Journal of AI in Healthcare and Medicine 4.1 (2024): 1-23.
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.
Shahane, Vishal. "Harnessing Serverless Computing for Efficient and Scalable Big Data Analytics Workloads." Journal of Artificial Intelligence Research 1.1 (2021): 40-65.
Shanmugam, Lavanya, Ravish Tillu, and Manish Tomar. "Federated learning architecture: Design, implementation, and challenges in distributed AI systems." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)2.2 (2023): 371-384.
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