Superconducting artificial neural networks and quantum circuits

• Anatolie S. Sidorenko

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

• dissipation while simultaneously increasing performance. The future of high-performance computing with reduced energy consumption is closely associated with technologies characterised by ultra-low energy dissipation. A highly promising approach is the implementation of artificial neural networks using

• 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

• dissipation; Research on artificial neural networks (ANNs) is currently one of the most rapidly developing areas of modern science and technology [1]. Neural networks have demonstrated high efficiency in solving problems of pattern recognition and classification, clustering, forecasting, approximation, and