Parameterized quantum circuits as machine learning models are typically ...
We can learn from analyzing quantum convolutional neural networks (QCNNs...
Harmonic functions are abundant in nature, appearing in limiting cases o...
Machine Learning models capable of handling the large datasets collected...
Quantum Generative Modelling (QGM) relies on preparing quantum states an...
In many computational problems in engineering and science, function or m...
We propose a quantum algorithm for `extremal learning', which is the pro...
Quantum computing promises to speed up some of the most challenging prob...
We propose a quantum algorithm for sampling from a solution of stochasti...