Quantum Algorithms for Sparse Problems
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1. Introduction In many real-world applications—from data science and machine learning to physics and engineering—problems are sparse. This means most of the data or matrix elements involved are zero or….
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1. Introduction In many real-world applications—from data science and machine learning to physics and engineering—problems are sparse. This means most of the data or matrix elements involved are zero or….
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Digital Twins in the Cloud: A Detailed Overview Digital twins are revolutionizing industries by providing virtual replicas of physical assets, systems, or processes. These digital models allow for real-time monitoring,….
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Cloud Robotics: A Detailed Overview Cloud robotics is a groundbreaking field that brings together the power of cloud computing with robotic systems, enabling more advanced capabilities and applications for robots….
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Quantum computers are promising but still in their early stages. Most current quantum devices (known as Noisy Intermediate-Scale Quantum or NISQ devices) cannot handle complex tasks alone due to limited….