As an emerging non-volatile device, memristors have garnered significant attention due to their low power consumption, high density, and ...
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Beyond silicon: An indium selenide roadmap for ultra-low-power AI and quantum computing
A research team led by Prof. Seunguk Song from the Department of Energy Science at Sungkyunkwan University (SKKU), in ...
A research team led by Prof. Seunguk Song from the Department of Energy Science at Sungkyunkwan University (SKKU), in collaboration with the Institute for Basic Science (IBS), the University of ...
Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...
Researchers have achieved a breakthrough towards building scalable quantum computers. The team used cryoelectronics to control ion traps, a key step toward realizing scalable quantum computers. “This ...
Abstract: Silicon-oxide-nitride-oxide–silicon (SONOS) charge-trap memory is a promising nonvolatile memory (NVM) device for analog in-memory computing (AIMC) applications. The sensitivity of 40-nm ...
Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...
Timely action can ensure the United States secures the economic and national security benefits of the coming quantum era.
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