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The political news these days is enough to make some Chicagoans wish they were a million miles away. But consider this: Even in the depths of space, there’s no escape from politics.

The $10 billion James Webb Space Telescope is literally parked 1 million miles away. In the nearly three years since it became operational, “Webb,” as it’s called, has made some incredible findings.

Webb uses infrared scanning to show how stars and galaxies form, and to study the atmospheres of distant planets. Its capabilities complement the aging Hubble Space Telescope, which orbits Earth at an altitude of only 340 miles or so.

Researchers from Max Born Institute have demonstrated a successful way to control and manipulate nanoscale magnetic bits—the building blocks of digital data—using an ultrafast laser pulse and plasmonic gold nanostructures. The findings were published in Nano Letters.

All-optical, helicity-independent magnetization switching (AO-HIS) is one of the most interesting and promising mechanisms for this endeavor, where the magnetization state can be reversed between two directions with a single femtosecond laser pulse, serving as “0s” and “1s” without any or complex wiring. This opens up exciting possibilities for creating memory devices that are not only faster and more robust but also consume far less power.

Ultrafast light-driven control of magnetization on the nanometer-length scale is key to achieving competitive bit sizes in next-generation data storage technology. However, it is currently not well understood to what extent basic physics processes such as at the nanoscale and the propagation of magnetic domain walls limit the minimum achievable bit size.

Ultrafast light-driven control of magnetization on the nanometer length scale is key to achieve competitive bit sizes in next generation data storage technology. Researchers at Max Born Institute in Berlin and of the large scale facility Elettra in Trieste, Italy, have successfully demonstrated the ultrafast emergence of all-optical switching by generating a nanometer scale grating by interference of two pulses in the extreme ultraviolet spectral range.

The physics of optically driven magnetization dynamics on the femtosecond time scale is of great interest for two main reasons: first, for a deeper understanding of the fundamental mechanisms of nonequilibrium, ultrafast spin dynamics and, second, for the potential application in the next generation of information technology with a vision to satisfy the need for both faster and more energy efficient data storage devices.

All– (AOS) is one of the most interesting and promising mechanisms for this endeavor, where the magnetization state can be reversed between two directions with a single femtosecond laser pulse, serving as “0s” and “1s.” While the understanding of the temporal control of AOS has progressed rapidly, knowledge on ultrafast transport phenomena on the nanoscale, important for the realization of all-optical magnetic reversal in technological applications, has remained limited due to the wavelength limitations of optical radiation. An elegant way to of overcoming these restrictions is to reduce the wavelengths to the extreme ultraviolet (XUV) spectral range in transient grating experiments. This technique is based on the interference of two XUV beams leading to a nanoscale excitation pattern and has been pioneered at the EIS-Timer beamline of the free-electron laser (FEL) FERMI in Trieste, Italy.

Researchers have long recognized that quantum communication systems would transmit quantum information more faithfully and be impervious to certain forms of error if nonlinear optical processes were used. However, past efforts at incorporating such processes could not operate with the extremely low light levels required for quantum communication.

Now, a team at the University of Illinois Urbana-Champaign has improved the technology by basing the nonlinear process on an indium-gallium-phosphide nanophotonic platform. The result is substantially more efficient than prior systems, meaning that it requires much less light and operates all the way down to single photons, the smallest unit of light. For the first time, there is a path forward to making with feasible.

“Our nonlinear system transmits quantum information with 94% fidelity, compared to the theoretical limit of 33% on systems using linear optical components,” said Kejie Fang, an Illinois professor of electrical and computer engineering and the project lead. “This alone demonstrates the power of quantum communication with nonlinear optics. The big problem to solve is efficiency. By using a nanophotonic platform, we saw the efficiency increase by enough to show that the technology is promising.”

Scientists have created an ultra-thin light source that emits pairs of polarization-entangled photons. These specially correlated photons hold promise for future quantum technologies, including ultra-secure communication, powerful computation, and high-precision measurements. This light source is particularly small, pure, efficient, and versatile.

The research is published in the journal eLight.

Entangled photons share a unique connection. By measuring one photon’s properties, scientists can instantly determine the properties of its entangled partner, regardless of distance. This has the potential to revolutionize fields like communication, computation and metrology.

Human cyborgs are individuals who integrate advanced technology into their bodies, enhancing their physical or cognitive abilities. This fusion of man and machine blurs the line between science fiction and reality, raising questions about the future of humanity, ethics, and the limits of human potential. From bionic limbs to brain-computer interfaces, cyborg technology is rapidly evolving, pushing us closer to a world where humans and machines become one.

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ChatGPT and alike often amaze us with the accuracy of their answers, but unfortunately, they also repeatedly give us cause for doubt. The main issue with powerful AI response engines (artificial intelligence) is that they provide us with perfect answers and obvious nonsense with the same ease. One of the major challenges lies in how the large language models (LLMs) underlying AI deal with uncertainty.

Until now, it has been very difficult to assess whether LLMs designed for text processing and generation base their responses on a solid foundation of data or whether they are operating on uncertain ground.

Researchers at the Institute for Machine Learning at the Department of Computer Science at ETH Zurich have now developed a method that can be used to specifically reduce the uncertainty of AI. The work is published on the arXiv preprint server.