Improved Sample Access for Quantum-Inspired Algorithms
Keywords: Quantum-inspired machine learning, importance sampling, Parametrized Quantum Circuit, Direct Fidelity Estimation
TL;DR: We derive the optimal data structure for quantum-inspired machine learning and demonstrate its effectiveness with practical examples.
Abstract: We have withdrawn our paper.
Primary Area: other topics in machine learning (i.e., none of the above)
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Submission Number: 6065
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