artix41/awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
This is a curated collection of significant research papers and resources focused on quantum machine learning, which involves developing machine learning algorithms that run on quantum devices. It provides an overview of what goes into these algorithms (like variational circuits and quantum data encoding) and what comes out (classifications, predictions, or generative models). This resource is for researchers, academics, and data scientists exploring how quantum computing can be applied to machine learning tasks.
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Use this if you are a researcher or data scientist interested in the theoretical and practical advancements of machine learning algorithms specifically designed for quantum computers.
Not ideal if you are looking for classical machine learning algorithms applied to quantum physics problems or are not working with quantum computing concepts.
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Jun 11, 2024
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