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Published

Umbrella for atoms: The first protective layer for 2D quantum materials      (via sciencedaily.com)     Original source 

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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Published

New AI model could streamline operations in a robotic warehouse      (via sciencedaily.com)     Original source 

Researchers applied deep-learning approaches from vehicle routing to streamline planning trajectories for robots in an e-commerce warehouse. Their method breaks the problem down into smaller chunks and then predicts the best chunks to solve with traditional algorithms.

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Published

Quantum films on plastic      (via sciencedaily.com)     Original source 

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.

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Published

New disease testing component facilitates lower-cost diagnostics      (via sciencedaily.com)     Original source 

Biomedical researchers have developed a new, less expensive way to detect nuclease digestion -- one of the critical steps in many nucleic acid sensing applications, such as those used to identify COVID-19 and other infectious diseases.

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Published

Resurrecting niobium for quantum science      (via sciencedaily.com)     Original source 

Niobium has long been considered an underperformer in superconducting qubits. Scientists have now engineered a high-quality niobium-based qubit, taking advantage of niobium's superior qualities.

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Published

A novel method for easy and quick fabrication of biomimetic robots with life-like movement      (via sciencedaily.com)     Original source 

Ultraviolet-laser processing is a promising technique for developing intricate microstructures, enabling complex alignment of muscle cells, required for building life-like biohybrid actuators. Compared to traditional complex methods, this innovative technique enables easy and quick fabrication of microstructures with intricate patterns for achieving different muscle cell arrangements, paving the way for biohybrid actuators capable of complex, flexible movements.

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Published

Scientists closer to solving mysteries of universe after measuring gravity in quantum world      (via sciencedaily.com)     Original source 

Scientists are closer to unravelling the mysterious forces of the universe after working out how to measure gravity on a microscopic level. Experts have never fully understood how the force works in the tiny quantum world -- but now physicists have successfully detected a weak gravitational pull on a tiny particle using a new technique.

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Published

Measuring the properties of light: Scientists realize new method for determining quantum states      (via sciencedaily.com)     Original source 

Scientists have used a new method to determine the characteristics of optical, i.e. light-based, quantum states. For the first time, they are using certain photon detectors -- devices that can detect individual light particles -- for so-called homodyne detection. The ability to characterize optical quantum states makes the method an essential tool for quantum information processing.

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Published

Method identified to double computer processing speeds      (via sciencedaily.com)     Original source 

Scientists introduce what they call 'simultaneous and heterogeneous multithreading' or SHMT. This system doubles computer processing speeds with existing hardware by simultaneously using graphics processing units (GPUs), hardware accelerators for artificial intelligence (AI) and machine learning (ML), or digital signal processing units to process information.

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Published

Physicists discover a quantum state with a new type of emergent particles: Six-flux composite fermions      (via sciencedaily.com)     Original source 

Physicists have reported a new fractional quantum Hall state that is very different from all other known fractional states and will invoke the existence of a new type of emergent particle, which they are calling six-flux composite fermions.

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Published

Revolutionary breakthrough in solar energy: Most efficient QD solar cells      (via sciencedaily.com)     Original source 

A research team has unveiled a novel ligand exchange technique that enables the synthesis of organic cation-based perovskite quantum dots (PQDs), ensuring exceptional stability while suppressing internal defects in the photoactive layer of solar cells.

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Published

Electrons become fractions of themselves in graphene      (via sciencedaily.com)     Original source 

Physicists have observed fractional quantum Hall effect in simple pentalayer graphene. The finding could make it easier to develop more robust quantum computers.

Biology: Biochemistry Chemistry: Biochemistry Computer Science: Quantum Computers Physics: General Physics: Optics Physics: Quantum Computing Physics: Quantum Physics
Published

Engineers achieve breakthrough in quantum sensing      (via sciencedaily.com)     Original source 

A collaborative project has made a breakthrough in enhancing the speed and resolution of wide-field quantum sensing, leading to new opportunities in scientific research and practical applications.

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Published

Accelerating the discovery of single-molecule magnets with deep learning      (via sciencedaily.com)     Original source 

Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made solely based on the crystal structures of these metal complexes, thus eliminating the need for time-consuming experiments and complex simulations. As a result, this method is expected to accelerate the development of functional materials, especially for high-density memory and quantum computing devices.

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Published

Fundamental equation for superconducting quantum bits revised      (via sciencedaily.com)     Original source 

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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Published

How electron spectroscopy measures exciton 'holes'      (via sciencedaily.com)     Original source 

Semiconductors are ubiquitous in modern technology, working to either enable or prevent the flow of electricity. In order to understand the potential of two-dimensional semiconductors for future computer and photovoltaic technologies, researchers investigated the bond that builds between the electrons and holes contained in these materials. By using a special method to break up the bond between electrons and holes, they were able to gain a microscopic insight into charge transfer processes across a semiconductor interface.

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Published

Innovations in depth from focus/defocus pave the way to more capable computer vision systems      (via sciencedaily.com)     Original source 

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.