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Categories: Computer Science: Quantum Computers, Mathematics: Modeling

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Creating a quantum computer powerful enough to tackle problems we cannot solve with current computers remains a big challenge for quantum physicists. A well-functioning quantum simulator -- a specific type of quantum computer -- could lead to new discoveries about how the world works at the smallest scales. Quantum scientists have developed a guide on how to upgrade these machines so that they can simulate even more complex quantum systems.

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Making quantum systems more scalable is one of the key requirements for the further development of quantum computers because the advantages they offer become increasingly evident as the systems are scaled up. Researchers have recently taken a decisive step towards achieving this goal.

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Physicists have uncovered that Josephson tunnel junctions -- the fundamental building blocks of superconducting quantum computers -- are more complex than previously thought. Just like overtones in a musical instrument, harmonics are superimposed on the fundamental mode. As a consequence, corrections may lead to quantum bits that are 2 to 7 times more stable. The researchers support their findings with experimental evidence from multiple laboratories across the globe.

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Scientists have achieved a milestone by controlling quantum phenomena at room temperature.

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Engineers have studied how insects navigate, for the purpose of developing energy-efficient robots.

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In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, model-based methods fail when texture-less surfaces are present, and learning-based methods require the same camera settings during training and testing. Now, researchers have come up with an innovative strategy for depth estimation that combines the best of both the worlds to solve these limitations, extending the applicability of depth from focus/defocus.

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A team of scientists has devised means for classical computing to mimic a quantum computing with far fewer resources than previously thought. The scientists' results show that classical computing can be reconfigured to perform faster and more accurate calculations than state-of-the-art quantum computers.

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The past year has seen major advances in Large Language Models (LLMs) such as ChatGPT. The ability of these models to interpret and produce human text sources (and other sequence data) has implications for people in many areas of human activity. A new perspective paper argues that like many professionals, neuroscientists can either benefit from partnering with these powerful tools or risk being left behind.

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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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Researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.

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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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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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Scientists have developed a new approach to machine learning -- a form of artificial intelligence -- to identify drugs that help minimize harmful scarring after a heart attack or other injuries.

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The springtime emergence of vast swarms of cicadas can be explained by a mathematical model of collective decision-making with similarities to models describing stock market crashes.

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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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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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For decades scientists have been trying to solve Feynman's Sprinkler Problem: How does a sprinkler running in reverse work? Through a series of experiments, a team of mathematicians has figured out how flowing fluids exert forces and move structures, thereby revealing the answer to this long-standing mystery.

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Researchers have incorporated an innovative ultra-broadband, quantum-entangled light source that generates a relatively wide range of infrared photons with wavelengths between 2 m and 5 m for dramatically downsizing the infrared spectroscopy system and upgrading its sensitivity. It can obtain spectra for various target samples, including hard solids, plastics, and organic solutions. This new technique uses the unique properties of quantum mechanics -- such as superposition and entanglement -- to overcome the limitations of conventional techniques.