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Found 5 papers, 1 papers with code
Quantum Machine Learning hyperparameter search
This paper presents a quantum-based Fourier-regression approach for machine learning hyperparameter optimization applied to a benchmark of models trained on a dataset related to a forecast problem in the airline industry.
Fourier series weight in quantum machine learning
In this work, we aim to confirm the impact of the Fourier series on the quantum machine learning model.
Quantum Algorithms for solving Hard Constrained Optimisation Problems
The thesis deals with Quantum Algorithms for solving Hard Constrained Optimization Problems.
Quantum Enhanced Filter: QFilter
Convolutional Neural Networks (CNN) are used mainly to treat problems with many images characteristic of Deep Learning.
quantum Case-Based Reasoning (qCBR)
Case-Based Reasoning (CBR) is an artificial intelligence approach to problem-solving with a good record of success.
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