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Brain-like power: Quantum material paves way for energy-efficient computing

A team of researchers from the Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C) consortium, led by the University of California San Diego, has unlocked a hidden potential in quantum materials. This potential, known as non-local behavior, holds promise in mimicking the intricate workings of the human brain and revolutionizing energy-efficient computing.
Alex Fra University Of California San Diego Quantum Materials For Energy Efficient Neuromorphic Computing Quantum Materials Energy Efficient Neuromorphic Computing California San Diego
Source: theweek.in

It's "NOT a superconductor," says the University of Maryland's Condensed Matter Theory Center (CMTC).

Early results are in from attempts to recreate LK-99 and see if it truly is the room-temperature superconductor of people’s dreams. CMTC cites discouraging results from the CSIR-National Physical Laboratory in India and the International Center for Quantum Materials in China. We’ll hear from more labs soon, but at this point, it’s looking like LK-99 was too good to be true.
International Center National Physical Laboratory Quantum Materials

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DESY: Preparing for a quantum (computing) leap

Researchers have published an important white paper identifying activities in particle physics where emerging quantum-computing technologies could be applied. With quantum computing rapidly improving, the paper sets out where these could be applied within particle physics, in order to help tackle computing challenges related to not only the upgrade programme of the Large Hadron Collider at CERN in Geneva but also to other colliders and low energy experiments world-wide, including several where D...
Karl Jansen Ivano Tavernelli Quantum Technology Initiative Quantum Network Large Hadron Collider Quantum Technologies

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