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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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Using a blink-and-you'll-miss-it experiment, researchers have discovered that individuals differ widely in the rate at which they perceive visual signals. Some people perceive a rapidly changing visual cue at frequencies that others cannot, which means some access more visual information per timeframe than others. This discovery suggests some people have an innate advantage in certain settings where response time is crucial, such as in ball sports, or in competitive gaming.

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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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New multidisciplinary research could lead to more efficient televisions, computer screens and lighting.

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Umwelt is a new a system that enables blind and low-vision users to author accessible, interactive charts representing data in three modalities: visualization, textual description, and sonification.

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Pairing cryptocurrency mining -- notable for its outsize consumption of carbon-based fuel -- with green hydrogen could provide the foundation for wider deployment of renewable energy, such as solar and wind power, according to a new study.

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Scientists published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent article, expected to become a powerful tool to investigate the physical properties in electronic systems.

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Researchers have brought together two Nobel prize-winning research concepts to advance the field of quantum communication. Scientists can now efficiently produce nearly perfect entangled photon pairs from quantum dot sources.

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Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers have developed a novel algorithm called post-processing variationally scheduled quantum algorithm. The novelty of this innovative algorithm lies in the use of a post-processing technique combined with variational scheduling to achieve high-quality solutions to COPs in a short time.

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Annealing processors are crucial for solving combinatorial optimization problems. However, they face scalability challenges due to the complexity of required architecture. TUS researchers have now designed a scalable, fully-coupled processor with 4096 spins and parallel processing capabilities. It demonstrates superior performance and power efficiency compared to traditional devices. The research team aims to develop a 2050-level quantum computer computing system by 2030, potentially revolutionizing digital industries without relying on extensive infrastructure or cloud support.

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Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.

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A research team has developed an n-channel diamond MOSFET (metal-oxide-semiconductor field-effect transistor). The developed n-channel diamond MOSFET provides a key step toward CMOS (complementary metal-oxide-semiconductor: one of the most popular technologies in the computer chip) integrated circuits for harsh-environment- applications as well as the development of diamond power electronics.

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A new way to make an important ingredient for plastics, adhesives, carpet fibers, household cleaners and more from natural gas could reduce manufacturing costs in a post-petroleum economy by millions of dollars, thanks to a new chemical reactor.

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Artificial intelligence can spot COVID-19 in lung ultrasound images much like facial recognition software can spot a face in a crowd, new research shows. The findings boost AI-driven medical diagnostics and bring health care professionals closer to being able to quickly diagnose patients with COVID-19 and other pulmonary diseases with algorithms that comb through ultrasound images to identify signs of disease.

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Researchers have invented a new method by which classical computers can measure the error rates of quantum machines without having to fully simulate them.

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Scientists have demonstrated the selective conversion of carbon dioxide (CO2) into methanol using a cascade reaction strategy. The two-part process is powered by sunlight, occurs at room temperature and at ambient pressure, and employs a recyclable organic reagent that's similar to a catalyst found in natural photosynthesis.

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Quantum computers promise to tackle some of the most challenging problems facing humanity today. While much attention has been directed towards the computation of quantum information, the transduction of information within quantum networks is equally crucial in materializing the potential of this new technology. Addressing this need, a research team is now introducing a new approach for transducing quantum information: the team has manipulated quantum bits, so called qubits, by harnessing the magnetic field of magnons -- wave-like excitations in a magnetic material -- that occur within microscopic magnetic disks.

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Researchers have called for a more considered approach when embedding ethical principles in the development and governance of AI for children.

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A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.

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In a new study, researchers describe a novel approach for a wireless communication network that can efficiently transmit, receive and decode data from thousands of microelectronic chips that are each no larger than a grain of salt.