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Categories: Computer Science: Artificial Intelligence (AI), Physics: Quantum Computing

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A new technique can control a larger number of microscopic defects in a diamond. These defects can be used as qubits for quantum sensing applications, and being able to control a greater number of qubits would improve the sensitivity of such devices.

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A new fusion of materials, each with special electrical properties, has all the components required for a unique type of superconductivity that could provide the basis for more robust quantum computing.

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An international research team has succeeded in controlling the chirality of individual molecules through structural isomerization. The team also succeeded in synthesizing highly reactive diradicals with two unpaired electrons. These achievements were made using a scanning tunneling microscope probe at low temperatures.

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Scientists have used a combination of scanning transmission electron microscopy (STEM) and computational modeling to get a closer look and deeper understanding of tantalum oxide. When this amorphous oxide layer forms on the surface of tantalum -- a superconductor that shows great promise for making the 'qubit' building blocks of a quantum computer -- it can impede the material's ability to retain quantum information. Learning how the oxide forms may offer clues as to why this happens -- and potentially point to ways to prevent quantum coherence loss.

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Scientists have discovered that adding a layer of magnesium improves the properties of tantalum, a superconducting material that shows great promise for building qubits, the basis of quantum computers. The scientists show that a thin layer of magnesium keeps tantalum from oxidizing, improves its purity, and raises the temperature at which it operates as a superconductor. All three may increase tantalum's ability to hold onto quantum information in qubits.

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Many people are familiar with facial recognition systems that unlock smartphones and game systems or allow access to our bank accounts online. But the current technology can require boxy projectors and lenses. Now, researchers report on a sleeker 3D surface imaging system with flatter, simplified optics. In proof-of-concept demonstrations, the new system recognized the face of Michelangelo's David just as well as an existing smartphone system.

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Researchers have succeeded in generating a logical qubit from a single light pulse that has the inherent capacity to correct errors.

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Researchers have gained new insights into the development of the light-induced ferroelectric state in SrTiO3. They exposed the material to mid-infrared and terahertz frequency laser pulses and found that the fluctuations of its atomic positions are reduced under these conditions. This may explain why the dipolar structure is more ordered than in equilibrium and why the laser pulses induce a ferroelectric state in the material.

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Researchers describe the discovery of a new method that transforms everyday materials like glass into materials scientists can use to make quantum computers.

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An international team has developed a new method to make and manipulate a widely studied class of high-temperature superconductors. This technique should pave the way for the creation of unusual forms of superconductivity in previously unattainable materials.

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Every fluid -- from Earth's atmosphere to blood pumping through the human body -- has viscosity, a quantifiable characteristic describing how the fluid will deform when it encounters some other matter. If the viscosity is higher, the fluid flows calmly, a state known as laminar. If the viscosity decreases, the fluid undergoes the transition from laminar to turbulent flow. The degree of laminar or turbulent flow is referred to as the Reynolds number, which is inversely proportional to the viscosity. However, this Reynolds similitude does not apply to quantum superfluids. A researcher has theorized a way to examine the Reynolds similitude in superfluids, which could demonstrate the existence of quantum viscosity in superfluids.

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Nanoclusters (NCs) of transition metals like cobalt or nickel have widespread applications in drug delivery and water purification, with smaller NCs exhibiting improved functionalities. Downsizing NCs is, however, usually challenging. Now, scientists have demonstrated functional NC formation with atomic-scale precision. They successfully grew cobalt NCs on flat copper surfaces using molecular arrays as traps. This breakthrough paves the way for advancements like single-atom catalysis and spintronics miniaturization.

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Scientists have discovered a first-of-its-kind material, a 3D crystalline metal in which quantum correlations and the geometry of the crystal structure combine to frustrate the movement of electrons and lock them in place.

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Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of most human readers.

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Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists have now created a type of neural network that works not with electricity but with so-called active colloidal particles.The researchers describe how these microparticles can be used as a physical system for artificial intelligence and the prediction of time series.

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Compared to robots, human bodies are flexible, capable of fine movements, and can convert energy efficiently into movement. Drawing inspiration from human gait, researchers from Japan crafted a two-legged biohybrid robot by combining muscle tissues and artificial materials. This method allows the robot to walk and pivot.

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People who were more skeptical of human-caused climate change or the Black Lives Matter movement who took part in conversation with a popular AI chatbot were disappointed with the experience but left the conversation more supportive of the scientific consensus on climate change or BLM. This is according to researchers studying how these chatbots handle interactions from people with different cultural backgrounds.

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Chemists have developed an autonomous chemical synthesis robot with an integrated AI-driven machine learning unit. Dubbed 'RoboChem', the benchtop device can outperform a human chemist in terms of speed and accuracy while also displaying a high level of ingenuity. As the first of its kind, it could significantly accelerate chemical discovery of molecules for pharmaceutical and many other applications.

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Certain materials have desirable properties that are hidden and scientists can use light to uncover these properties. Researchers have used an advanced optical technique, based on terahertz time-domain spectroscopy, to learn more about a quantum material called Ta2NiSe5 (TNS).

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Researchers grew a twisted multilayer crystal structure for the first time and measured the structure's key properties. The twisted structure could help researchers develop next-generation materials for solar cells, quantum computers, lasers and other devices.