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Found 3 papers, 2 papers with code
Neural Networks for Programming Quantum Annealers
We explore a setup for performing classification on labeled classical datasets, consisting of a classical neural network connected to a quantum annealer.
Bell Diagonal and Werner state generation: entanglement, non-locality, steering and discord on the IBM quantum computer
We propose the first correct special-purpose quantum circuits for preparation of Bell-diagonal states (BDS), and implement them on the IBM Quantum computer, characterizing and testing complex aspects of their quantum correlations in the full parameter space.
Quantum Physics Information Theory Information Theory
QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning
It is a promising solution for achieving high energy efficiency in different machine learning tasks, such as classification, semi-supervised learning, and clustering.
