Mixing and decoherence in continuous-time quantum walks on cycles. - Leonid Fedichkin; Dmitry Solenov; Christino Tamon (Quantum Inf. Comput., 2006)

Estimations of phonon-induced decoherence in silicon-germanium triple quantum dots. - Alexander Yu. Vasiliev; Leonid Fedichkin (Quantum Inf. Process., 2014)

Detecting quantum speedup by quantum walk with convolutional neural networks. - Alexey A. Melnikov 001; Leonid Fedichkin; Alexander Alodjants (CoRR, 2019)

Machine learning transfer efficiencies for noisy quantum walks. - Alexey A. Melnikov 001; Leonid Fedichkin; Ray-Kuang Lee; Alexander Alodjants (CoRR, 2020)

An exponentially-growing family of universal quantum circuits. - Mohammad Kordzanganeh; Pavel Sekatski; Leonid Fedichkin; Alexey Melnikov 003 (Mach. Learn. Sci. Technol., 2023)

High-dimensional graphs convolution for quantum walks photonic applications. - Roman Abramov; Leonid Fedichkin; Dmitry V. Tsarev; Alexander Alodjants (Quantum Inf. Process., 2024)

Hybrid Quantum Recurrent Neural Network For Remaining Useful Life Prediction. - Olga Tsurkan; Aleksandra Konstantinova; Aleksandr Sedykh; Dmitrii Zhiganov; Arsenii Senokosov; Daniil Tarpanov; Matvei Anoshin; Leonid Fedichkin (CoRR, 2025)

Stabilization of industrial processes with time series machine learning. - Matvei Anoshin; Olga Tsurkan; Vadim Lopatkin; Leonid Fedichkin (CoRR, 2025)