45 citations · 189 across the 15 of their papers we have counts for
3 papers · 2 filters
Comparison between Tensor Networks and Variational Quantum Classifier
Georgios Laskaris, Artem A. Melnikov, Michael R. Perelshtein +3
The primary objective of this paper is to conduct a comparative analysis between two Machine Learning approaches: Tensor Networks (TN) and Variational Quantum Classifiers (VQC). Wh…
Microwave photon detection at parametric criticality
Kirill Petrovnin, Jiaming Wang, Michael Perelshtein +2
The detection of microwave fields at single-photon power levels is a much sought-after technology, with practical applications in nanoelectronics and quantum information science. H…
Optimization of chemical mixers design via tensor trains and quantum computing
Nikita Belokonev, Artem Melnikov, Maninadh Podapaka +3
Chemical component design is a computationally challenging procedure that often entails iterative numerical modeling and authentic experimental testing. We demonstrate a novel opti…