366 citations · 3k across the 53 of their papers we have counts for
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quant-ph2021★ 17 cited
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…
quant-ph2021
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…