research
∙
09/06/2023
Let Quantum Neural Networks Choose Their Own Frequencies
Parameterized quantum circuits as machine learning models are typically ...
share
research
∙
08/31/2023
What can we learn from quantum convolutional neural networks?
We can learn from analyzing quantum convolutional neural networks (QCNNs...
research
∙
12/14/2022
Harmonic (Quantum) Neural Networks
Harmonic functions are abundant in nature, appearing in limiting cases o...
research
∙
12/06/2022
Financial Risk Management on a Neutral Atom Quantum Processor
Machine Learning models capable of handling the large datasets collected...
research
∙
10/24/2022
Protocols for classically training quantum generative models on probability distributions
Quantum Generative Modelling (QGM) relies on preparing quantum states an...
research
∙
06/28/2022
Integral Transforms in a Physics-Informed (Quantum) Neural Network setting: Applications Use-Cases
In many computational problems in engineering and science, function or m...
research
∙
05/05/2022
Quantum Extremal Learning
We propose a quantum algorithm for `extremal learning', which is the pro...
research
∙
11/11/2021
Quantum Model-Discovery
Quantum computing promises to speed up some of the most challenging prob...
research
∙
08/06/2021
