10 citations · 10 across the 1 of their papers we have counts for
4 papers · 1 filter
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…
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…
Quantum Machine Learning: from physics to software engineering
Alexey Melnikov, Mohammad Kordzanganeh, Alexander Alodjants +1
Quantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides a two-fold overview of several key a…
An exponentially-growing family of universal quantum circuits
Mo Kordzanganeh, Pavel Sekatski, Leonid Fedichkin +1
Quantum machine learning has become an area of growing interest but has certain theoretical and hardware-specific limitations. Notably, the problem of vanishing gradients, or barre…