University of Minnesota: Superconducting diode

Main article: Quantum computer and quantum communication

2023: Accelerating the development of quantum technology and neuromorphic computing with a superconductive diode

On June 8, 2023, it became known that the team scientists from University of Minnesota in the United States created, supercarrying out diode which can help scale for quantum computers industrial use and increase performance systems. Compared to artificial intelligence other superconducting diodes, the researchers' device more, can energy efficient process multiple signals electric simultaneously and contains a number of gates to control the flow of energy, which has never been implemented in superconducting diodes before.

The diode allows the current to flow in one direction in the electrical circuit. This is essentially half, the transistor main element in. computer chips Diodes are usually made from, semiconductors but scientists are interested in creating them from superconductors that have the ability to transmit energy without losing power along the way.

The goal is to make computers more powerful, but soon the University will face some tough restrictions due to current materials and fabrication methods. Other ways of developing computers are needed, and one of the biggest challenges to increasing computing power is that they dissipate so much energy. So scientists are thinking about ways that super-conductive technologies can help with this, said Vlad Pribyag, senior author of the paper and assistant professor of physics and astronomy at the University of Minnesota.

Scientists at the University of Minnesota created the device using three Josephson transitions that consist of layers of non-conductive material between superconductors. In this case, the researchers connected the superconductors with layers of semiconductors. The special design of the device allows scientists to use voltage to control the behavior of the device. Their device also has the ability to process multiple inputs, whereas typical diodes can only process one input and one output. The function could find application in neuromorphic computing, a method of building electrical circuits to mimic how neurons function in the brain to boost the performance of artificial intelligence systems.

{{quote 'author = explained Mohit Gupta, first author of the paper and PhD student Ошибка цитирования Отсутствует закрывающий тег </ref>.|The device that was made has close to the highest energy efficiency ever demonstrated, and it has been shown for the first time that it is possible to add gates and apply electric fields to adjust this effect,}}

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