3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Nikolaos Schetakis, Paolo Bonfini, Negin Alisoltani +6
Accurate traffic forecasting plays a crucial role in modern Intelligent Transportation Systems (ITS), as it enables real-time traffic flow management, reduces congestion, and impro…
Binary classifiers for noisy datasets: a comparative study of existing quantum machine learning frameworks and some new approaches
N. Schetakis, D. Aghamalyan, M. Boguslavsky +1
One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Com…
Microtoroidal resonators enhance long-distance dynamical entanglement generation in chiral quantum networks
Wai-Keong Mok, Davit Aghamalyan, Jia-Bin You +1
Chiral quantum networks provide a promising route for realising quantum information processing and quantum communication. Here, we describe how two distant quantum nodes of chiral…
Long-distance dissipation-assisted transport of entangled states via a chiral waveguide
Wai-Keong Mok, Davit Aghamalyan, Jia-Bin You +4
Quantum networks provide a prominent platform for realizing quantum information processing and quantum communication, with entanglement being a key resource in such applications. H…