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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1. Introduction Solving linear systems of equations is at the heart of many scientific, engineering, and business problems. Whether it’s modeling traffic flow, performing financial risk assessments, or simulating physical….