125 citations · 462 across the 16 of their papers we have counts for
4 papers · 1 filter
Hessian-based toolbox for reliable and interpretable machine learning in physics
Anna Dawid, Patrick Huembeli, Michał Tomza +2
Machine learning (ML) techniques applied to quantum many-body physics have emerged as a new research field. While the numerical power of this approach is undeniable, the most expre…
Quadratic Unconstrained Binary Optimisation via Quantum-Inspired Annealing
Joseph Bowles, Alexandre Dauphin, Patrick Huembeli +2
We present a classical algorithm to find approximate solutions to instances of quadratic unconstrained binary optimisation. The algorithm can be seen as an analogue of quantum anne…
Exploring Quantum Perceptron and Quantum Neural Network structures with a teacher-student scheme
Aikaterini, Gratsea, Patrick Huembeli
Near-term quantum devices can be used to build quantum machine learning models, such as quantum kernel methods and quantum neural networks (QNN) to perform classification tasks. Th…
Avoiding local minima in Variational Quantum Algorithms with Neural Networks
Javier Rivera-Dean, Patrick Huembeli, Antonio Acín +1
Variational Quantum Algorithms have emerged as a leading paradigm for near-term quantum computation. In such algorithms, a parameterized quantum circuit is controlled via a classic…