Improved Sample Access for Quantum-Inspired Algorithms

HyunHo Cha, Sunbeom Jeong, Jungwoo Lee

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:

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Primary Area: other topics in machine learning (i.e., none of the above)

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Submission Number: 6065