dressed_circuit.ipynb: Jupyter notebook to train and test a dressed variational quantum circuit for the classification of a syntetic dataset of 2-dimensional points (spirals)..

In the paper Quantum Neural Network Classifiers: A Tutorial, we provide 5 Tables to exhibit the benchmarks.In addition to the average accuracy provided in this paper, in the complete data files, we ...

Variational Quantum Monte Carlo Method with a Neural-Network Ansatz for Open Quantum Systems. Physical Review Letters , 2019; 122 (25) DOI: 10.1103/PhysRevLett.122.250501 Cite This Page : ...

The quantum neural network surrogate is a CV quantum neural network as described in Killoran et al. . The quantum surrogate neural network is a parametrized quantum circuit that takes as input the ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used a phenomenon called “quantum tunnelling ...

An article on quantum machine learning research is published in Frontiers in Physics. Neural networks are now commonly used to solve a wide range of computational problems. At this stage, the power of ...

Neural networks can estimate the degree of entanglement in quantum systems far more efficiently than traditional techniques, a new study shows. By side-stepping the need to fully characterize quantum ...

Of course, the neural networks had their limits, and they weren't able to do an efficient universal representation, Deng said. Still, the research could significantly improve how we understand ...