ericardomuten/qml-vqa-library
A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.
This library compiles a list of current textbooks, reviews, and research papers on quantum machine learning, variational quantum algorithms, and tensor networks. It helps researchers, physicists, and data scientists working in quantum computing quickly find relevant academic resources for their advanced studies and applications. You can efficiently locate papers on specific quantum machine learning models like Quantum Neural Networks or Quantum Support Vector Machines.
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Use this if you are a researcher or practitioner in quantum computing looking for a curated collection of academic literature to deepen your understanding or inform your projects.
Not ideal if you are new to quantum computing and looking for introductory guides or tutorials rather than academic papers.
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Aug 22, 2021
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