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Categories: Mathematics: Modeling, Physics: Optics

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An international collaboration of researchers has achieved a significant breakthrough in quantum technology, with the successful demonstration of quantum interference among several single photons using a novel resource-efficient platform. The work represents a notable advancement in optical quantum computing that paves the way for more scalable quantum technologies.

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EPFL researchers have developed the first comprehensive model of the quantum-mechanical effects behind photoluminescence in thin gold films; a discovery that could drive the development of solar fuels and batteries.

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A new typing model simulates the typing process instead of just predicting words.

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Contrary to previous assumptions, nerve cells in the human neocortex are wired differently than in mice. The study found that human neurons communicate in one direction, while in mice, signals tend to flow in loops. This increases the efficiency and capacity of the human brain to process information. These discoveries could further the development of artificial neural networks.

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A team has constructed an improved mid-infrared microscope, enabling them to see the structures inside living bacteria at the nanometer scale. Mid-infrared microscopy is typically limited by its low resolution, especially when compared to other microscopy techniques. This latest development produced images at 120 nanometers, which the researchers say is a thirtyfold improvement on the resolution of typical mid-infrared microscopes. Being able to view samples more clearly at this smaller scale can aid multiple fields of research, including into infectious diseases, and opens the way for developing even more accurate mid-infrared-based imaging in the future.

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Optical neural networks may provide the high-speed and large-capacity solution necessary to tackle challenging computing tasks. However, tapping their full potential will require further advances. One challenge is the reconfigurability of optical neural networks. A research team has now succeeded in laying the foundation for new reconfigurable neuromorphic building blocks by adding a new dimension to photonic machine learning: sound waves. The researchers use light to create temporary acoustic waves in an optical fiber. The sound waves generated in this way can for instance enable a recurrent functionality in a telecom optical fiber, which is essential to interpreting contextual information such as language.

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An international research team has demonstrated experimentally that electrons in naturally occurring double-layer graphene move like particles without any mass, in the same way that light travels. Furthermore, they have shown that the current can be 'switched' on and off, which has potential for developing tiny, energy-efficient transistors -- like the light switch in your house but at a nanoscale.

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Researchers have produced, stored, and retrieved quantum information for the first time, a critical step in quantum networking.

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Researchers have synthesized triarylborane (TAB) compounds that exhibit unusual optical responses upon binding to certain anions. They also synthesized thin polymer films that incorporate the TAB and retain the sensing as well as the light emission properties of the TAB. This work is an important advance in plastic research and has applications in analyte sensing as well as electronic display technologies.

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A new technique can more effectively perform a safety check on an AI chatbot. Researchers enabled their model to prompt a chatbot to generate toxic responses, which are used to prevent the chatbot from giving hateful or harmful answers when deployed.

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The potential of quantum technology is huge but is today largely limited to the extremely cold environments of laboratories. Now, researchers have succeeded in demonstrating for the very first time how laser light can induce quantum behavior at room temperature -- and make non-magnetic materials magnetic. The breakthrough is expected to pave the way for faster and more energy-efficient computers, information transfer and data storage.

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Researchers have developed a digital display screen where the LEDs themselves react to touch, light, fingerprints and the user's pulse, among other things. Their results could be the start of a whole new generation of displays for phones, computers and tablets.

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A study that could help revolutionize wireless communication introduces a novel method to curve terahertz signals around an obstacle.

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

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Researchers have fabricated a new four-terminal organic solar cell with a tandem configuration with a 16.94% power conversion efficiency (PCE). The new device is composed by a highly transparent front cell that incorporates a transparent ultrathin silver (Ag) electrode of only 7nm, which ensures its efficient operation.

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The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been developed, they add additional complexity. To address these limitations, a team of researchers has developed novel optimal and robust-optimal controllers based on the T--S fuzzy descriptor model, holding great potential for enhanced autonomous systems.

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Engineers unlock the power of exceptional points (EPs) for advanced optical sensing. EPs -- specific conditions in systems where extraordinary optical phenomena can occur -- can be deployed on conventional sensors to achieve a striking sensitivity to environmental perturbations.

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Researchers developed a foundational language model to decode mRNA sequences and optimize those sequences for vaccine development. The tool shows broader promise as a means for studying molecular biology.

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A novel technique for enhancing optical spring that utilizes the Kerr effect to improve the sensitivity of gravitational wave detectors (GWDs) has recently been developed. This innovative design uses optical non-linear effects from the Kerr effect in the Fabry-Perot cavity to achieve high signal amplification ratios and optical spring constant, with potential applications in not only GWDs but also in a range of optomechanical systems.

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The development of AI models is an overlooked climate culprit. Computer scientists have created a recipe book for designing AI models that use much less energy without compromising performance. They argue that a model's energy consumption and carbon footprint should be a fixed criterion when designing and training AI models.