37 citations · 94 across the 5 of their papers we have counts for
5 papers
Tensor networks for quantum computing
Aleksandr Berezutskii, Minzhao Liu, Atithi Acharya +25
In the rapidly evolving field of quantum computing, tensor networks serve as an important tool due to their multifaceted utility. In this paper, we review the diverse applications…
Tensor Quantum Programming
A. Termanova, Ar. Melnikov, E. Mamenchikov +6
Running quantum algorithms often involves implementing complex quantum circuits with such a large number of multi-qubit gates that the challenge of tackling practical applications…
Hybrid quantum cycle generative adversarial network for small molecule generation
Matvei Anoshin, Asel Sagingalieva, Christopher Mansell +4
The drug design process currently requires considerable time and resources to develop each new compound that enters the market. This work develops an application of hybrid quantum…
Photovoltaic power forecasting using quantum machine learning
Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov +6
Accurate forecasting of photovoltaic power is essential for reliable grid integration, yet remains difficult due to highly variable irradiance, complex meteorological drivers, site…
Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis
Luca Lusnig, Asel Sagingalieva, Mikhail Surmach +9
In the realm of liver transplantation, accurately determining hepatic steatosis levels is crucial. Recognizing the essential need for improved diagnostic precision, particularly fo…