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Found 2 papers, 1 papers with code
Learning Energy-Based Representations of Quantum Many-Body States
An ideal representation of a quantum state combines a succinct characterization informed by the system's structure and symmetries, along with the ability to predict the physical observables of interest.
Shot-frugal and Robust quantum kernel classifiers
Quantum kernel methods are a candidate for quantum speed-ups in supervised machine learning.
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