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Categories: Engineering: Robotics Research, Physics: Quantum Computing

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A team has taken the first atomic-resolution images and demonstrated electrical control of a chiral interface state -- an exotic quantum phenomenon that could help researchers advance quantum computing and energy-efficient electronics.

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Team successfully exerted electrical control over polaritons, hybridized light-matter particles, at room temperature.

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Engineers designed modular, spring-like devices to maximize the work of live muscle fibers so they can be harnessed to power biohybrid robots.

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A team of researchers has shown that molecules can be as formidable at scrambling quantum information as black holes by combining mathematical tools from black hole physics and chemical physics and testing their theory in chemical reactions.

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An international team including researchers from the University of W rzburg has succeeded in creating a special state of superconductivity. This discovery could advance the development of quantum computers.

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Researchers have discovered 'neutronic' molecules, in which neutrons can be made to cling to quantum dots, held just by the strong force. The finding may lead to new tools for probing material properties at the quantum level and exploring new kinds of quantum information processing devices.

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Researchers gave nanorobots a trait called adaptive time delay, which allows them to better work together.

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One of the most fundamental interactions in physics is that of electrons and light. In an experiment, scientists have now managed to observe what is known as the Kapitza-Dirac effect for the first time in full temporal resolution. This effect was first postulated over 90 years ago, but only now are its finest details coming to light.

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Researchers have developed a programmable meta-fluid with tunable springiness, optical properties, viscosity and even the ability to transition between a Newtonian and non-Newtonian fluid. The first-of-its-kind meta-fluid uses a suspension of small, elastomer spheres -- between 50 to 500 microns -- that buckle under pressure, radically changing the characteristics of the fluid. The meta-fluid could be used in everything from hydraulic actuators to program robots, to intelligent shock absorbers that can dissipate energy depending on the intensity of the impact, to optical devices that can transition from clear to opaque.

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There is room for just one small bottle in the world's first refrigerator that is cooled with artificial muscles made of nitinol, a nickel-titanium alloy. But the mini-prototype is groundbreaking: it shows that elastocalorics is becoming a viable solution for practical applications. This climate-friendly cooling and heating technology is far more energy-efficient and sustainable than current methods.

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Windows welcome light into interior spaces, but they also bring in unwanted heat. A new window coating blocks heat-generating ultraviolet and infrared light and lets through visible light, regardless of the sun's angle. The coating can be incorporated onto existing windows or automobiles and can reduce air-conditioning cooling costs by more than one-third in hot climates.

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Researchers have taken a big step towards securing information against hacking. They have succeeded in using quantum encryption to securely transfer information 100 kilometers via fiber optic cable -- roughly equivalent to the distance between Oxford and London.

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An international team working with single-atom thick crystals found TaIrTe4's transition between the two distinct topological states of insulation and conduction. The material exhibited zero electrical conductivity within its interior, while its boundaries remain conductive. The team's investigation determined that the two topological states stem from disparate origins. The novel properties can serve as a promising platform for exploring exotic quantum phases and electromagnetism.

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Scientists have shown that Barkhausen noise can be produced not only through traditional, or classical means, but through quantum mechanical effects. The research represents an advance in fundamental physics and could one day have applications in creating quantum sensors and other electronic devices.

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A research team has addressed the long-standing challenge of creating artificial olfactory sensors with arrays of diverse high-performance gas sensors. Their newly developed biomimetic olfactory chips (BOC) are able to integrate nanotube sensor arrays on nanoporous substrates with up to 10,000 individually addressable gas sensors per chip, a configuration that is similar to how olfaction works for humans and other animals.

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What would you do if you walked up to a robot with a human-like head and it smiled at you first? You'd likely smile back and perhaps feel the two of you were genuinely interacting. But how does a robot know how to do this? Or a better question, how does it know to get you to smile back?

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Quantum simulators are quantum systems that can be controlled exceptionally well. They can be used to indirectly learn something about other quantum systems, which cannot be experimented on so easily. Therefore, quantum simulators play an important role in unraveling the big questions of quantum physics. However, they are limited by temperature: They only work well, when they are extremely cold. Scientists have now developed a method to cool quantum simulators even more than before: by splitting a Bose-Einstein-condensate in half, in a very special way.

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Researchers have now developed standards and calibrations for optical microscopes that allow quantum dots to be aligned with the center of a photonic component to within an error of 10 to 20 nanometers (about one-thousandth the thickness of a sheet of paper). Such alignment is critical for chip-scale devices that employ the radiation emitted by quantum dots to store and transmit quantum information.

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An Antarctic large-scale experiment is striving to find out if gravity also exists at the quantum level. An extraordinary particle able to travel undisturbed through space seems to hold the answer.

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Engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team's method connects robot motion data with the common sense knowledge of large language models, or LLMs.