The predictions of Moore's law are considered by experts to be valid until 2020 giving rise to "post-Moore's" technologies afterwards. Energy efficiency is one of the major challenges in high-performance computing that should be answered. Superconductor digital technology is a promising post-Moore's alternative for the development of supercomputers. In this paper, we consider operation principles of an energy-efficient superconductor logic and memory circuits with a short retrospective review of their evolution. We analyze their shortcomings in respect to computer circuits design. Possible ways of further research are outlined.
Tree Models Machine Learning to Identify Liquid Metal based Alloy Superconductor
Technical Institute of Physics and Chemistry, Chinese Academy of Sciences（中国科学院理化技术研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Tsinghua University（清华大学）
Reinforcement learning-guided optimization of critical current in high-temperature superconductors
Quantum Measurement Group, MIT, Cambridge, MA 02139, USA（MIT量子测量组）；Center for Computational Science and Engineering, MIT, Cambridge, MA 02139, USA（MIT计算科学与工程中心）；Department of Materials Science and Engineering, MIT, Cambridge, MA 02139, USA（材料科学与工程系）；Department of Nuclear Science and Engineering, MIT, Cambridge, MA 02139, USA（核科学与工程系）；Department of Physics, MIT, Cambridge, MA 02139, USA（物理系）
Resolving unconventional gap structure in kagome superconductors with hybrid microwave circuits
Max Planck Institute for Chemical Physics of Solids（马克斯·普朗克固体和化学物理研究所）；Institute of Solid State and Material Physics, Technische Universität Dresden（德累斯顿工业大学固态与材料物理研究所）；Institute of Applied Physics, Technische Universität Dresden（德累斯顿工业大学应用物理研究所）；Leibniz Institute for Solid State and Materials Research Dresden（德累斯顿莱布尼茨固体与材料研究所）；Department of Physics, University of Naples Federico II（那不勒斯费德里科二世大学物理系）；Department of Electrical Engineering and Information Technology, University of Naples Federico II（那不勒斯费德里科二世大学电气与信息工程系）
Visualizing the low-energy electronic structure of the triplet superconductor UTe$_2$ through quasiparticle interference
Harvard University（哈佛大学）；Niels Bohr Institute, University of Copenhagen（哥本哈根大学尼尔斯·玻尔研究所）；University of Maryland, College Park（马里兰大学帕克分校）；National Institute of Standards and Technology（美国国家标准与技术研究院）；Washington University in St. Louis（圣路易斯华盛顿大学）；Canadian Institute for Advanced Research（加拿大高级研究院）
Universal bound on microwave dissipation in superconducting circuits
Univ. Grenoble Alpes, CNRS, Grenoble INP, Institut Néel（格勒诺布尔阿尔卑斯大学，法国国家科学研究中心，格勒诺布尔理工学院，内耳研究所）；Department of Physics, University of California at Santa Barbara（加州大学圣塔芭芭拉分校物理系）；Google Quantum AI（谷歌量子人工智能）；Jožef Stefan Institute（约瑟夫·斯蒂芬研究所）；CENN Nanocenter（CENN纳米中心）
