haimengzhao/qml-advantage
Code for the paper "Entanglement-induced provable and robust quantum learning advantages"
This project offers a way to explore how quantum computing can boost machine learning, especially for tasks requiring efficient data communication. It takes a description of a 'magic square' type problem and evaluates how well different quantum and classical machine learning models solve it, even with noise. Scientists and researchers in quantum information and machine learning who are investigating quantum advantage for real-world applications would find this useful.
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Use this if you are a quantum machine learning researcher seeking to rigorously demonstrate quantum learning advantages for specific tasks, especially in noisy environments.
Not ideal if you are looking for a general-purpose quantum machine learning library for broad application development, rather than focused research into fundamental advantages.
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Oct 07, 2024
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