Quantum convolutional neural networks
Neural network-based machine learning has recently proven successful for many complex
applications ranging from image recognition to precision medicine. However, its direct …
applications ranging from image recognition to precision medicine. However, its direct …
Integrating neural networks with a quantum simulator for state reconstruction
We demonstrate quantum many-body state reconstruction from experimental data generated
by a programmable quantum simulator by means of a neural-network model incorporating …
by a programmable quantum simulator by means of a neural-network model incorporating …
Tensor network language model
V Pestun, Y Vlassopoulos - ar** paradigm of computing, which
has the potential to improve or accelerate numerous important applications ranging from …
has the potential to improve or accelerate numerous important applications ranging from …
[PDF][PDF] Learning quantum states from noisy data
We extract restricted Boltzmann machine (RBM) wavefunctions from data produced by a
Rydberg atom quantum simulator, and apply a novel regularization technique to mitigate the …
Rydberg atom quantum simulator, and apply a novel regularization technique to mitigate the …