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Categories: Computer Science: General, Computer Science: Quantum Computers
Published Powerful new tool ushers in new era of quantum materials research



Research in quantum materials is paving the way for groundbreaking discoveries and is poised to drive technological advancements that will redefine the landscapes of industries like mining, energy, transportation, and medtech. A technique called time- and angle-resolved photoemission spectroscopy (TR-ARPES) has emerged as a powerful tool, allowing researchers to explore the equilibrium and dynamical properties of quantum materials via light-matter interaction.
Published How do neural networks learn? A mathematical formula explains how they detect relevant patterns



Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.
Published Mathematicians use AI to identify emerging COVID-19 variants



Scientists have developed an AI framework that can identify and track new and concerning COVID-19 variants and could help with other infections in the future.
Published Accessibility toolkit for game engine Unity



New work makes it easier for game developers to implement game aids for people with disabilities. The toolkit focuses on players with visual impairments.
Published Design rules and synthesis of quantum memory candidates



In the quest to develop quantum computers and networks, there are many components that are fundamentally different than those used today. Like a modern computer, each of these components has different constraints. However, it is currently unclear what materials can be used to construct those components for the transmission and storage of quantum information.
Published The role of machine learning and computer vision in Imageomics



A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.
Published Method rapidly verifies that a robot will avoid collisions



A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.
Published Making quantum bits fly



Physicists are developing a method that could enable the stable exchange of information in quantum computers. In the leading role: photons that make quantum bits 'fly'.
Published 3D reflector microchips could speed development of 6G wireless



Researchers have developed a semiconductor chip that will enable ever-smaller devices to operate at the higher frequencies needed for future 6G communication technology.
Published AI can speed design of health software



Artificial intelligence helped clinicians to accelerate the design of diabetes prevention software, a new study finds.
Published Can you tell AI-generated people from real ones?



If you recently had trouble figuring out if an image of a person is real or generated through artificial intelligence (AI), you're not alone. A new study found that people had more difficulty than was expected distinguishing who is a real person and who is artificially generated.
Published Shortcut to Success: Toward fast and robust quantum control through accelerating adiabatic passage



Researchers achieved the acceleration of adiabatic evolution of a single spin qubit in gate-defined quantum dots. After the pulse optimization to suppress quasistatic noises, the spin flip fidelity can be as high as 97.5% in GaAs quantum dots. This work may be useful to achieve fast and high-fidelity quantum computing.
Published Network of quantum sensors boosts precision



Quantum sensor technology promises even more precise measurements of physical quantities. A team has now compared the signals of up to 91 quantum sensors with each other and thus successfully eliminated the noise caused by interactions with the environment. Correlation spectroscopy can be used to increase the precision of sensor networks.
Published AI-enabled atomic robotic probe to advance quantum material manufacturing



Scientists have pioneered a new methodology of fabricating carbon-based quantum materials at the atomic scale by integrating scanning probe microscopy techniques and deep neural networks. This breakthrough highlights the potential of implementing artificial intelligence at the sub-angstrom scale for enhanced control over atomic manufacturing, benefiting both fundamental research and future applications.
Published Scientists make nanoparticles dance to unravel quantum limits



The question of where the boundary between classical and quantum physics lies is one of the longest-standing pursuits of modern scientific research and in new research, scientists demonstrate a novel platform that could help us find an answer.
Published Software speeds up drug development



Sugars cover nearly all proteins present at the surface of the cells in our bodies, forming a shield around the proteins. Thus, these sugars influence how cells interact with their environment including pathogens, playing an important role in medical drug development. GlycoSHIELD, a new computational approach to study the sugar shields of proteins, is resource-reducing, time-efficient and user-friendly.
Published Umbrella for atoms: The first protective layer for 2D quantum materials



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.
Published Researchers use AI, Google street view to predict household energy costs on large scale



An interdisciplinary team of experts has found a way to use artificial intelligence to analyze a household's passive design characteristics and predict its energy expenses with more than 74 percent accuracy. By combining their findings with demographic data including poverty levels, the researchers have created a comprehensive model for predicting energy burden across 1,402 census tracts and nearly 300,000 households in Chicago.
Published New AI model could streamline operations in a robotic warehouse



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.
Published Resurrecting niobium for quantum science



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.