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Categories: Computer Science: Virtual Reality (VR), Physics: Quantum Physics

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Researchers have discovered a new class of plasma oscillations -- the back-and-forth, wave-like movement of electrons and ions. The research paves the way for improved particle accelerators and commercial fusion energy.

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Recreating the action of opening doors in the virtual world requires engineering ways in which to provide the equivalent haptic feedback and steer users away from walls in the real world. A research group has done just this; developing RedirectedDoors+, which employs door robots and rotation to create a more realistic experience.

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A new tool will help orthodontists correctly fit braces onto teeth. Using artificial intelligence and virtual patients, the tool predicts how teeth will move, so as to ensure that braces are neither too loose nor too tight.

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To advance neuromorphic computing, some researchers are looking at analog improvements -- advancing not just software, but hardware too. Research shows a promising new way to store and transmit information using disordered superconducting loops.

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Through steady advances in the development of quantum computers and their ever-improving performance, it will be possible in the future to crack our current encryption processes. To address this challenge, researchers are developing encryption methods that will apply physical laws to prevent the interception of messages. To safeguard communications over long distances, the QUICK space mission will deploy satellites.

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Research in quantum materials is paving the way for groundbreaking discoveries and is poised to drive technological advancements that will redefine the landscapes of industries like mining, energy, transportation, and medtech. A technique called time- and angle-resolved photoemission spectroscopy (TR-ARPES) has emerged as a powerful tool, allowing researchers to explore the equilibrium and dynamical properties of quantum materials via light-matter interaction.

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Researchers have tested the performance of a new device that boosts particle signals.

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In the quest to develop quantum computers and networks, there are many components that are fundamentally different than those used today. Like a modern computer, each of these components has different constraints. However, it is currently unclear what materials can be used to construct those components for the transmission and storage of quantum information.

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Researchers have painstakingly taken computed topography (CT) scans of more than 13,000 individual specimens to create 3D images of more than half of all the world's animal groups, including mammals, fishes, amphibians and reptiles.

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Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions.

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Physicists are developing a method that could enable the stable exchange of information in quantum computers. In the leading role: photons that make quantum bits 'fly'.

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Since more than a decade it has been possible for physicists to accurately measure the location of individual atoms to a precision of smaller than one thousandth of a millimeter using a special type of microscope. However, this method has so far only provided the x and y coordinates. Information on the vertical position of the atom -- i.e., the distance between the atom and the microscope objective -- is lacking. A new method has now been developed that can determine all three spatial coordinates of an atom with one single image.

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Researchers achieved the acceleration of adiabatic evolution of a single spin qubit in gate-defined quantum dots. After the pulse optimization to suppress quasistatic noises, the spin flip fidelity can be as high as 97.5% in GaAs quantum dots. This work may be useful to achieve fast and high-fidelity quantum computing.

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Quantum sensor technology promises even more precise measurements of physical quantities. A team has now compared the signals of up to 91 quantum sensors with each other and thus successfully eliminated the noise caused by interactions with the environment. Correlation spectroscopy can be used to increase the precision of sensor networks.

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Scientists have pioneered a new methodology of fabricating carbon-based quantum materials at the atomic scale by integrating scanning probe microscopy techniques and deep neural networks. This breakthrough highlights the potential of implementing artificial intelligence at the sub-angstrom scale for enhanced control over atomic manufacturing, benefiting both fundamental research and future applications.

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The question of where the boundary between classical and quantum physics lies is one of the longest-standing pursuits of modern scientific research and in new research, scientists demonstrate a novel platform that could help us find an answer.

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As silicon-based computer chips approach their physical limitations in the quest for faster and smaller designs, the search for alternative materials that remain functional at atomic scales is one of science's biggest challenges. In a groundbreaking development, researchers have engineered a protective film that shields quantum semiconductor layers just one atom thick from environmental influences without compromising their revolutionary quantum properties. This puts the application of these delicate atomic layers in ultrathin electronic components within realistic reach.

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Playing a different sound track is, physically speaking, only a minute change of the vibration spectrum, yet its impact on a dance floor is dramatic. People long for this tiny trigger, and as a salsa changes to a tango completely different collective patterns emerge. For such a tiny stimulus to have an effect, the crowd needs to know more than just one dance. Electrons in metals tend to show only one behavior at zero temperature, when all kinetic energy is quenched.

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Researchers think they have a foundational tool for the thorny problem of how to measure and image the behavior of hydride superconductors at high pressure. They report creatively integrating quantum sensors into a diamond anvil cell, enabling direct readouts of the pressurized material's electrical and magnetic properties.

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Researchers have discovered that thin films of elemental bismuth exhibit the so-called non-linear Hall effect, which could be applied in technologies for the controlled use of terahertz high-frequency signals on electronic chips. Bismuth combines several advantageous properties not found in other systems to date, as the team reports. Particularly: the quantum effect is observed at room temperature. The thin-layer films can be applied even on plastic substrates and could therefore be suitable for modern high-frequency technology applications.