Adiabatic superconducting cells for ultra-low-power artificial neural networks

Scholarly Works

• Feldhoff, F.; Toepfer, H. Short- and Long-Term State Switching in the Superconducting Niobium Neuron Plasticity. IEEE Transactions on Applied Superconductivity 2024, 34, 1–5. doi:10.1109/tasc.2024.3355876
• Ionin, A. S.; Shuravin, N. S.; Karelina, L. N.; Rossolenko, A. N.; Sidel'nikov, M. S.; Egorov, S. V.; Chichkov, V. I.; Chichkov, M. V.; Zhdanova, M. V.; Shchegolev, A. E.; Bol'ginov, V. V. Experimental Study of a Prototype of a Superconducting Sigma Neuron for Adiabatic Neural Networks. Journal of Experimental and Theoretical Physics 2023, 137, 888–898. doi:10.1134/s1063776123120191
• Pashin, D. S.; Pikunov, P. V.; Bastrakova, M. V.; Schegolev, A. E.; Klenov, N. V.; Soloviev, I. I. A bifunctional superconducting cell as flux qubit and neuron. Beilstein journal of nanotechnology 2023, 14, 1116–1126. doi:10.3762/bjnano.14.92
• Ionin, A. S.; Karelina, L. N.; Shuravin, N. S.; Sidel'nikov, M. S.; Razorenov, F. A.; Egorov, S. V.; Bol'ginov, V. V. Experimental Study of the Transfer Function of a Superconducting Gauss Neuron Prototype. JETP Letters 2023, 118, 766–772. doi:10.1134/s002136402360324x
• Schegolev, A. E.; Klenov, N. V.; Gubochkin, G. I.; Kupriyanov, M. Y.; Soloviev, I. I. Bio-Inspired Design of Superconducting Spiking Neuron and Synapse. Nanomaterials (Basel, Switzerland) 2023, 13, 2101. doi:10.3390/nano13142101
• Segall, K.; Purmessur, C.; D'Addario, A.; Schult, D. A superconducting synapse exhibiting spike-timing dependent plasticity. Applied Physics Letters 2023, 122. doi:10.1063/5.0150687
• Ray, K. J.; Crutchfield, J. P. Gigahertz Sub-Landauer Momentum Computing. Physical Review Applied 2023, 19. doi:10.1103/physrevapplied.19.014049
• Pikunov, P. V.; Pashin, D. S.; Bastrakova, M. V. Numerical Simulation of Quantum Dissipative Dynamics of a Superconducting Neuron. Communications in Computer and Information Science; Springer Nature Switzerland, 2022; pp 293–301. doi:10.1007/978-3-031-24145-1_24
• Jué, E.; Pufall, M. R.; Haygood, I. W.; Rippard, W. H.; Schneider, M. L. Perspectives on nanoclustered magnetic Josephson junctions as artificial synapses. Applied Physics Letters 2022, 121. doi:10.1063/5.0118287
• Bastrakova, M. V.; Pashin, D. S.; Rybin, D. A.; Schegolev, A. E.; Klenov, N. V.; Soloviev, I. I.; Gorchavkina, A. A.; Satanin, A. M. A superconducting adiabatic neuron in a quantum regime. Beilstein journal of nanotechnology 2022, 13, 653–665. doi:10.3762/bjnano.13.57
• Schegolev, A. E.; Klenov, N. V.; Bakurskiy, S. V.; Soloviev, I. I.; Kupriyanov, M. Y.; Tereshonok, M. V.; Sidorenko, A. S. Tunable superconducting neurons for networks based on radial basis functions. Beilstein journal of nanotechnology 2022, 13, 444–454. doi:10.3762/bjnano.13.37
• Skryabina, O. V.; Schegolev, A. E.; Klenov, N. V.; Bakurskiy, S. V.; Shishkin, A. G.; Sotnichuk, S. V.; Napolskii, K. S.; Nazhestkin, I. A.; Soloviev, I. I.; Kupriyanov, M. Y.; Stolyarov, V. S. Superconducting Bio-Inspired Au-Nanowire-Based Neurons. Nanomaterials (Basel, Switzerland) 2022, 12, 1671. doi:10.3390/nano12101671
• Schneider, M.; Toomey, E.; Rowlands, G.; Shainline, J.; Tschirhart, P.; Segall, K. SuperMind: a survey of the potential of superconducting electronics for neuromorphic computing. Superconductor Science and Technology 2022, 35, 53001–053001. doi:10.1088/1361-6668/ac4cd2
• Jué, E.; Iankevich, G.; Reisinger, T.; Hahn, H.; Provenzano, V.; Pufall, M. R.; Haygood, I. W.; Rippard, W. H.; Schneider, M. L. Artificial synapses based on Josephson junctions with Fe nanoclusters in the amorphous Ge barrier. Journal of Applied Physics 2022, 131. doi:10.1063/5.0080841
• Ziyadinov, V. V.; Kurochkin, P. S.; Tereshonok, M. V. Convolutional Neural Network Training Optimization for Low Point Density Image Recognition. Journal of Communications Technology and Electronics 2021, 66, 1363–1369. doi:10.1134/s1064226921120202
• Schegolev, A. E.; Klenov, N. V.; Soloviev, I. I.; Gudkov, A. L.; Tereshonok, M. V. Superconducting Neural Networks: from an Idea to Fundamentals and, Further, to Application. Nanobiotechnology Reports 2021, 16, 811–820. doi:10.1134/s2635167621060227
• Bastrakova, M. V.; Gorchavkina, A.; Schegolev, A. E.; Klenov, N. V.; Soloviev, I. I.; Satanin, A. M.; Tereshonok, M. V. Dynamic Processes in a Superconducting Adiabatic Neuron with Non-Shunted Josephson Contacts. Symmetry 2021, 13, 1735. doi:10.3390/sym13091735
• Feldhoff, F.; Toepfer, H. Niobium Neuron: RSFQ Based Bio-Inspired Circuit. IEEE Transactions on Applied Superconductivity 2021, 31, 1–5. doi:10.1109/tasc.2021.3063212
• Bakurskiy, S. V.; Klenov, N. V.; Kupriyanov, M. Y.; Soloviev, I. I.; Khapaev, M. M. Extraction of Inductances and Spatial Distributions of Currents in a Model of Superconducting Neuron. Computational Mathematics and Mathematical Physics 2021, 61, 854–863. doi:10.1134/s096554252105002x
• Fedotov, A. Y.; Vakhrushev, A.; Severyukhina, O.; Sidorenko, A.; Savva, Y.; Klenov, N. V.; Soloviev, I. I. Theoretical Basis of Quantum-Mechanical Modeling of Functional Nanostructures. Symmetry 2021, 13, 883. doi:10.3390/sym13050883

Explore citations to this article at