Modelling non-markovian quantum processes with recurrent neural networks analytic gradients speeding up variational circuits
Machine Learning Discussion Papers: 14/12/2018
Data-driven discretization: machine learning for coarse graining of partial differential equations Machine learning quantum mechanics: solving quantum mechanics problems using radial basis function networks
Machine Learning Discussion Papers: 06/12/2018
Variationally Learning Grover’s Quantum Search Algorithm Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices Implementing quantum stochastic differential equations on a quantum computer