High-performance photon detection with superconducting strips over 200 times wider than conventional nanostrip. Highlights Succeeded in developing a “Superconducting Wide-Strip Photon Detector” with a superconducting strip over 200 times wider than the conventional nanostrip Achieves high productivity and polarization independence while maintaining high detection efficiency comparable to that of the nanostrip type Lowering the fabrication cost and hurdles of photon detectors, accelerating the realization of quantum information communication and quantum computers Abstract The National Institute of Information and Communications Technology…
Breakthrough realized for retaining quantum information in a single-electron quantum bit. Coherence stands as a pillar of effective communication, whether it is in writing, speaking or information processing. This principle extends to quantum bits, or qubits, the building blocks of quantum computing. A quantum computer could one day tackle previously insurmountable challenges in climate prediction, material design, drug discovery and more. A team led by the U.S. Department of Energy’s (DOE) Argonne National Laboratory has achieved a major milestone toward…
Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature, the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications. The latest AI chips deliver twice the performance of their predecessors. New AI chips are based…
Constantly increasing data volumes, ever more complex calculation and modeling – working with large amounts of data is crucial in many fields of research. The new high-performance computer “Marvin” now makes it easier for University of Bonn researchers to leverage artificial intelligence and machine learning. Featuring a scalable GPU partition, Marvin is among the world’s top 500 most powerful computers. Funded in part under the Excellence program, the acquisition of Marvin comes as part of the University of Bonn digital…
Innovation Center of NanoMedicine (iCONM; Center Director: Kazunori Kataoka; Location: Kawasaki, Japan) has announced with The University of Tokyo that a group led by Prof. Takanori Ichiki, Research Director of iCONM (Professor, Department of Materials Engineering, Graduate School of Engineering, The University of Tokyo), proposed a new property evaluation method of nanoparticles’ shape anisotropy that solves long-standing issues in nanoparticle evaluation that date back to Einstein’s time. The paper, titled ” Analysis of Brownian motion trajectories of non-spherical nanoparticles using…
Alexander Dax received two Distinguished Paper Awards at this year’s USENIX cybersecurity conference for research papers he has worked on. One of the two coveted awards in the research community honored him for his paper “Hash gone bad: Automated discovery of protocol attacks that exploit hash function weaknesses”. In the work, the Saarland native shows that automated security analyses of Internet protocols are often inaccurate because they are based on false assumptions – in this case, perfect hash functions. He…
Research consortium sets standards in the field of open source hardware. The HEP research project has presented an open, flexible design for a security chip. The project “Hardening the value chain through open source, trusted EDA tools and processors (HEP)”, funded by the German Federal Ministry of Education and Research (BMBF), uses open source, free components and tools to manufacture a chip at the IHP fab – the Leibniz-Institute for High Performance Microelectronics. The easy accessibility of the used process…
The ‘wonder material’ graphene is well-known for its high electrical conductivity, mechanical strength, and flexibility. Stacking two layers of graphene with atomic layer thickness produces bilayer graphene, which possesses excellent electrical, mechanical, and optical properties. As such, bilayer graphene has attracted significant attention and is being utilized in a host of next-generation devices, including quantum computers. But complicating their application in quantum computing comes in the form of gaining accurate measurements of the quantum bit states. Most research has primarily…
Hardware processing for AI goes 3D, boosting processing power. A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to encode data, enabling multiple calculations to be carried out in parallel. The method shows promise for outperforming state-of-the-art electronic processors, with further enhancements possible. In a paper published today in Nature Photonics, researchers from the University of Oxford, along with collaborators from the Universities of Muenster, Heidelberg,…
A newly discovered type of electronic behavior could help with packing more data into magnetic memory devices. Ordinary pencil lead holds extraordinary properties when shaved down to layers as thin as an atom. A single, atom-thin sheet of graphite, known as graphene, is just a tiny fraction of the width of a human hair. Under a microscope, the material resembles a chicken-wire of carbon atoms linked in a hexagonal lattice. Despite its waif-like proportions, scientists have found over the years…
Pitt researchers receive more than $1.6 million from the NSF to develop miniature robots that can navigate complex terrains using neuroscience concepts. When navigating a busy sidewalk, most people can avoid puddles, other pedestrians, and cracks in the pavement. It may seem intuitive – because it is. There’s a biological component that allows humans and other mammals to navigate our complex environments. Central Pattern Generators (CPG) are neural networks that produce rhythmic patterns of control signals for limbs using simple environmental cues….
From space-wide internet to last-mile connectivity, portable free-space optical communication promises to bridge connectivity gaps on-demand. In a world that relies on high-speed internet and seamless communication, the absence of a reliable fiber connection can be a significant hurdle. Fortunately, a cutting-edge technology known as free-space optical communication (FSO) offers a flexible solution for field-deployable high-speed wireless communication in areas where fiber connections are unavailable. FSO has garnered attention for its versatility across various scales of operation. On a global…
Researchers propose a novel approach that utilizes deep learning to generate three-dimensional holograms from colored two-dimensional images. Holograms that offer a three-dimensional (3D) view of objects provide a level of detail that is unattainable by regular two-dimensional (2D) images. Due to their ability to offer a realistic and immersive experience of 3D objects, holograms hold enormous potential for use in various fields, including medical imaging, manufacturing, and virtual reality. Holograms are traditionally constructed by recording the three-dimensional data of an…
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems. Anyone who has ever tried to pack a family-sized amount of luggage into a sedan-sized trunk knows this is a hard problem. Robots struggle with dense packing tasks, too. For the robot, solving the packing problem involves satisfying many constraints, such as stacking luggage so suitcases don’t topple out of the trunk, heavy objects aren’t placed on top of lighter ones, and collisions…
With a quick pulse of light, researchers can now find and erase errors in real time. Researchers have developed a method that can reveal the location of errors in quantum computers, making them up to ten times easier to correct. This will significantly accelerate progress towards large-scale quantum computers capable of tackling the world’s most challenging computational problems, the researchers said. Led by Princeton University’s Jeff Thompson, the team demonstrated a way to identify when errors occur in quantum computers…
Artificial intelligence, AI, which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers at Linköping University, Sweden, have developed an AI-based method applicable to various medical and biological issues. Their models can for instance accurately estimate people’s chronological age and determine whether they have been smokers or not. There are many factors that can affect which out of all our genes are used at any given point in time. Smoking, dietary habits…
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