[ad_1] Introduction Quantum error correction is a critical aspect of quantum computing that aims to protect quantum information from errors caused by noise and other imperfections. In the context of quantum simulation, where quantum systems…
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[ad_1] Introduction Federated reinforcement learning is a promising approach to address the challenges of collaborative robotics, where multiple robots work together to achieve a common goal. This thesis explores the use of federated reinforcement learning…
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[ad_1] Introduction Transfer learning has emerged as a powerful technique in machine learning, where knowledge learned from one domain is transferred to another related domain to improve performance. In the context of cross-modal retrieval, transfer…
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[ad_1] Introduction Quantum key distribution (QKD) has emerged as a promising technology for achieving secure communication in the era of cloud storage. With the increasing reliance on cloud services for storing sensitive information, the need…
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[ad_1] Introduction: In recent years, there has been a growing interest in the potential of Distributed Ledger Technology (DLT) to revolutionize various industries, including identity management. Decentralized identity management using DLT has the potential to…
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[ad_1] Introduction Deep learning has gained significant attention in recent years due to its ability to effectively model complex relationships in data and make accurate predictions. In the field of finance, deep learning has shown…
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[ad_1] Introduction Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a powerful cryptographic tool for ensuring privacy and security in various applications. In the context of federated learning, where multiple parties collaborate to…
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[ad_1] Introduction In the era of big data and connected devices, federated learning has emerged as a promising approach to collaborative machine learning without compromising data privacy. Federated transfer learning extends the concept of federated…
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[ad_1] Introduction Quantum-inspired optimization algorithms have gained significant attention in recent years due to their ability to solve complex optimization problems efficiently. One such problem that can benefit from quantum-inspired optimization is the vehicle routing…
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[ad_1] Introduction Emotion recognition is a crucial aspect of human interaction and communication. Being able to accurately identify and understand the emotions of others can lead to better relationships and more effective communication. In recent…
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