Superconducting artificial neural networks and quantum circuits

• Anatolie S. Sidorenko

Beilstein J. Nanotechnol. 2026, 17, 744–747, doi:10.3762/bjnano.17.51

• Anatolie S. Sidorenko Technical University of Moldova, Chisinau 2004, Republic of Moldova 10.3762/bjnano.17.51 Keywords: artificial neural networks; high-performance computing; Josephson junctions; superconducting digital technologies; superconducting quantum circuits; ultra-low energy

• superconducting quantum circuits and superconducting digital technologies based on Josephson junctions. The energy consumption of a basic element of superconducting digital technology is on the order of 10−19 J, corresponding to up to seven orders of magnitude lower energy dissipation than that of semiconductor

Geometry-controlled engineering of the low-temperature proximity effect in normal metal–superconductor junctions

• Munisa A. Tomayeva,
• Vyacheslav D. Neverov,
• Andrey V. Krasavin,
• Alexei Vagov and
• Mihail D. Croitoru

Beilstein J. Nanotechnol. 2025, 16, 2265–2273, doi:10.3762/bjnano.16.155

• performance in superconducting quantum circuits, Josephson junctions, or topological superconducting platforms, where the strength and range of the induced pairing correlations are critical. Future work could extend our analysis to incorporate the effects of disorder, finite temperature, spin–orbit coupling