Alexander Alodjants

Classical (Local and Contextual) Probability Model for Bohm–Bell Type Experiments: No-Signaling as Independence of Random Variables

Andrei Khrennikov, Alexander Alodjants, A. Khrennikov, 2019, Entropy.

Deep neural networks classifying transfer efficiency in complex networks

Alexander Alodjants, Alexey A. Melnikov, Leonid E. Fedichkin, 2020, 2020 Opto-Electronics and Communications Conference (OECC).

Predicting quantum advantage by quantum walk with convolutional neural networks pdf

Alexander Alodjants, Leonid Fedichkin, Alexey A. Melnikov, 2019, New Journal of Physics.

On Interpretational Questions for Quantum-Like Modeling of Social Lasing

Andrei Khrennikov, Alexander Alodjants, Dmitry V. Tsarev, 2018, Entropy.

Machine learning transfer efficiencies for noisy quantum walks pdf

Alexander Alodjants, Leonid Fedichkin, Alexey A. Melnikov, 2020, ArXiv.

Bohm-Bell type experiments: Classical probability approach to (no-)signaling and applications to quantum physics and psychology

Andrei Khrennikov, Alexander Alodjants, A. Khrennikov, 2018, 1812.10826.