Next-Gen Superconducting Diode: Enhancing AI Performance and Quantum Computing Scalability — A team of researchers has |
Researchers have engineered a novel superconducting diode that shows promise in enhancing the performance of artificial intelligence systems and scaling up quantum computers for industrial applications. This device outperforms its counterparts with superior energy efficiency, the ability to process multiple electrical signals simultaneously, and a unique series of gates controlling energy flow.
Compared to other superconducting diodes, the researchers’ device is more energy efficient; can process multiple electrical signals at a time; and contains a series of gates to control the flow of energy, a feature that has never before been integrated into a superconducting diode., a peer-reviewed scientific journal that covers the natural sciences and engineering.
“We want to make computers more powerful, but there are some hard limits we are going to hit soon with our current materials and fabrication methods,” said Vlad Pribiag, senior author of the paper and an associate professor in the University of Minnesota School of Physics and Astronomy. “We need new ways to develop computers, and one of the biggest challenges for increasing computing power right now is that they dissipate so much energy.
“The device we’ve made has close to the highest energy efficiency that has ever been shown, and for the first time, we’ve shown that you can add gates and apply electric fields to tune this effect,” explained Mohit Gupta, first author of the paper and a Ph.D. student in the University of Minnesota School of Physics and Astronomy. “Other researchers have made superconducting devices before, but the materials they’ve used have been very difficult to fabricate.
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