42 citations · 42 across the 4 of their papers we have counts for
4 papers
Superposed parameterised quantum circuits
Viktoria Patapovich, Maniraman Periyasamy, Mo Kordzanganeh +1
Quantum machine learning has shown promise for high-dimensional data analysis, yet many existing approaches rely on linear unitary operations and shared trainable parameters across…
TQml Simulator: optimized simulation of quantum machine learning
Viacheslav Kuzmin, Basil Kyriacou, Tatjana Protasevich +3
Hardware-efficient circuits employed in Quantum Machine Learning are typically composed of alternating layers of uniformly applied gates. High-speed numerical simulators for such c…
Hybrid quantum recurrent neural network for remaining useful life prediction of turbofan engines
Olga Tsurkan, Aleksandra Konstantinova, Arsenii Senokosov +2
Accurate remaining useful life (RUL) estimation underpins safe operation and cost-effective maintenance of aerospace propulsion systems. We propose a Hybrid Quantum Recurrent Neura…
Predicting quantum advantage by quantum walk with convolutional neural networks
Alexey A. Melnikov, Leonid E. Fedichkin, Alexander Alodjants
Quantum walks are at the heart of modern quantum technologies. They allow to deal with quantum transport phenomena and are an advanced tool for constructing novel quantum algorithm…