21 citations · 31 across the 2 of their papers we have counts for
2 papers
quant-ph2023★ 10 cited
A hybrid quantum-classical approach for inference on restricted Boltzmann machines
Mārtiņš Kālis, Andris Locāns, Rolands Šikovs +2
Boltzmann machine is a powerful machine learning model with many real-world applications, for example by constructing deep belief networks. Statistical inference on a Boltzmann mac…
quant-ph2021★ 21 cited
Quantum speedup for track reconstruction in particle accelerators
Duarte Magano, Akshat Kumar, Mārtiņš Kālis +10
To investigate the fundamental nature of matter and its interactions, particles are accelerated to very high energies and collided inside detectors, producing a multitude of other…