3 papers
cs.LG2023★ 10 cited
Forecasting steam mass flow in power plants using the parallel hybrid network
Andrii Kurkin, Jonas Hegemann, Mo Kordzanganeh +1
Efficient and sustainable power generation is a crucial concern in the energy sector. In particular, thermal power plants grapple with accurately predicting steam mass flow, which…
quant-ph2023
Parallel Hybrid Networks: an interplay between quantum and classical neural networks
Mo Kordzanganeh, Daria Kosichkina, Alexey Melnikov
Quantum neural networks represent a new machine learning paradigm that has recently attracted much attention due to its potential promise. Under certain conditions, these models ap…
quant-ph2023
Quantum algorithms applied to satellite mission planning for Earth observation
Serge Rainjonneau, Igor Tokarev, Sergei Iudin +8
Earth imaging satellites are a crucial part of our everyday lives that enable global tracking of industrial activities. Use cases span many applications, from weather forecasting t…