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    Physics

    Speeding up artificial intelligence

    A group at Politecnico di Milano has developed an electronic circuit able to solve a system of linear equations in a single operation in the timescale of a few tens of nanoseconds. The performance of this new circuit is superior not only to classical digital computers, but also to quantum computers. It will be soon possible to develop a new generation of computing accelerators that will revolutionize the technology of artificial intelligence. …read more

    Source:: Physorg Physics

          

    Long-distance quantum information exchange—success at the nanoscale

    At the Niels Bohr Institute, University of Copenhagen, researchers have realized the swap of electron spins between distant quantum dots. The discovery brings us a step closer to future applications of quantum information, as the tiny dots have to leave enough room on the microchip for delicate control electrodes. The distance between the dots has now become big enough for integration with traditional microelectronics and perhaps, a future quantum computer. The result is achieved via a multinational collaboration with Purdue University and UNSW, Sydney, Australia, now published in Nature Communications. …read more

    Source:: Physorg Physics

          

    Quantum sensing method measures minuscule magnetic fields

    A new way of measuring atomic-scale magnetic fields with great precision, not only up and down but sideways as well, has been developed by researchers at MIT. The new tool could be useful in applications as diverse as mapping the electrical impulses inside a firing neuron, characterizing new magnetic materials, and probing exotic quantum physical phenomena. …read more

    Source:: Physorg Physics

          

    Exploring the behavior of a gas as it transitions between quantum and classical states

    A team of researchers from the MIT-Harvard Center for Ultracold Atoms has developed a way to study and measure gases as they transition between quantum and classical states due to changes in temperature. In their paper published in the journal Physical Review Letters, the group describes experiments they carried out with clouds of lithium-6 atoms and what they found. …read more

    Source:: Physorg Physics

          

    Sea quark surprise reveals deeper complexity in proton spin puzzle

    New data from the STAR experiment at the Relativistic Heavy Ion Collider (RHIC) add detail—and complexity—to an intriguing puzzle that scientists have been seeking to solve: how the building blocks that make up a proton contribute to its spin. The results, just published as a rapid communication in the journal Physical Review D, reveal definitively for the first time that different “flavors” of antiquarks contribute differently to the proton’s overall spin—and in a way that’s opposite to those flavors’ relative abundance. …read more

    Source:: Physorg Physics

          

    Researchers put machine learning on path to quantum advantage

    There are high hopes that quantum computing’s tremendous processing power will someday unleash exponential advances in artificial intelligence. AI systems thrive when the machine learning algorithms used to train them are given massive amounts of data to ingest, classify and analyze. The more precisely that data can be classified according to specific characteristics, or features, the better the AI will perform. Quantum computers are expected to play a crucial role in machine learning, including the crucial aspect of accessing more computationally complex feature spaces – the fine-grain aspects of data that could lead to new insights. …read more

    Source:: Physorg Physics

          

    Researchers use algorithm from Netflix challenge to speed up biological imaging

    Researchers have repurposed an algorithm originally developed for Netflix’s 2009 movie preference prediction competition to create a method for acquiring classical Raman spectroscopy images of biological tissues at unprecedented speeds. The advance could make the simple, label-free imaging method practical for clinical applications such as tumor detection or tissue analysis. …read more

    Source:: Physorg Physics

          

    Recovering scattered data from twisted light via ‘scattering-matrix-assisted retrieval technique (SMART)’

    High-capacity optical communication can be accomplished by multiplexing multiple light-carrying orbital angular momentum (OAM) channels. However, in turbulent environments, optical scattering and ‘speckle patterns’ occur due to ambient, atmospheric microparticles and significantly decrease the orthogonality between OAM channels, demultiplexing (extracting information) and increasing crosstalk during communication. In a recent study now published in Light: Science & Applications, Lei Gong and co-workers at the departments of optics and optical engineering, medical engineering, electrical engineering and physical sciences in China and the USA developed a ‘scattering-matrix-assisted retrieval technique’ (SMART) to efficiently recover scattered data from multiplexed OAM channels. In the study, they used 24 OAM channels in parallel, passing through a scattering medium to demultiplex the channels from the scattered optical fields and achieve minimal experimental crosstalk approximating -13.8 dB. …read more

    Source:: Physorg Physics

          

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