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Found 3 papers, 2 papers with code
Efficient population transfer via non-ergodic extended states in quantum spin glass
NEE provide a mechanism for population transfer (PT) between computational states and therefore can serve as a new quantum subroutine for quantum search, quantum parallel tempering and reverse annealing optimization algorithms.
Quantum Physics Disordered Systems and Neural Networks Statistical Mechanics Strongly Correlated Electrons
Totally Corrective Boosting with Cardinality Penalization
If actual quantum optimization were to be used with this algorithm in the future, we would expect equivalent or superior results at much smaller time and energy costs during training.
Training a Binary Classifier with the Quantum Adiabatic Algorithm
To bring it into a format that allows the application of adiabatic quantum computing (AQC), we first show that the bit-precision with which the weights need to be represented only grows logarithmically with the ratio of the number of training examples to the number of weak classifiers.
Quantum Physics
