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We introduce the concept of quantum minimal learning machine (QMLM), a supervised similarity-based learning algorithm. The algorithm is conceptually based on a classical machine learning model and adopted to work with quantum data. We will motivate the theory and run the model as an error mitigation method for various parameters.

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Quantum Minimal Learning Machine: A Fidelity-Based Approach to Error Mitigation

  • 会议论文

  • 发表日期：

    2026年

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  • Clemens Lindner,
  • Joonas Hämäläinen,
  • Matti Raasakka

摘要

We introduce the concept of quantum minimal learning machine (QMLM), a supervised similarity-based learning algorithm. The algorithm is conceptually based on a classical machine learning model and adopted to work with quantum data. We will motivate the theory and run the model as an error mitigation method for various parameters.