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Quantum accelerated approach to the thermal state of classical all-to-all connected spin systems with applications to pattern retrieval in the Hopfield neural network (2019)
Journal Article
Fiorelli, E., Rotondo, P., Marcuzzi, M., Garrahan, J. P., & Lesanovsky, I. (2019). Quantum accelerated approach to the thermal state of classical all-to-all connected spin systems with applications to pattern retrieval in the Hopfield neural network. Physical Review A, 99(3), Article 032126. https://doi.org/10.1103/physreva.99.032126

We explore the question as to whether quantum effects can yield a speedup of the nonequilibrium evolution of fully connected quadratic spin models towards a classical thermal state. In our approach we exploit the fact that the thermal state of a spin... Read More about Quantum accelerated approach to the thermal state of classical all-to-all connected spin systems with applications to pattern retrieval in the Hopfield neural network.