Superconducting Neural Networks: from an Idea to Fundamentals and, Further, to Applicationстатья
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Дата последнего поиска статьи во внешних источниках: 4 марта 2022 г.
Аннотация:The popularity and diversity of artificial neural networks for various applications are ever increasing.The development of neural networks in the form of software models and hardware systems emphasizestheir relevance and range of applicability, from a ten-minute Python code, an AlphaZero neural network, andintelligent image and speech recognition algorithms to IBM and Qualcomm neuromorphic chips and D-Wavequantum computing systems. The superconductor implementation of neural networks, along with the obviousadvantages of superconductor technology in terms of energy efficiency and operating speed, makes it possibleto combine a neural network and a superconducting quantum processor in one computing unit. In thiscase, the quantum core of a complex system can be used to learn a neural network by a global optimizationmethod. It is noteworthy that the world’s leading IT companies clearly demonstrate the market’s focus onsuperconducting elements. The relevance of this direction is analyzed against a historical retrospective.