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Ultrafast quantum light pulses measured for the first time

Researchers at the Technion—Israel Institute of Technology have, for the first time, measured the temporal duration of individual pulses of an extraordinary form of quantum light known as bright squeezed vacuum (BSV). Their findings are published in Optica.

Bright squeezed vacuum is a unique quantum state of light. Although it is formally considered the “vacuum state” and the electric field of this light is zero on average, it exhibits enormous quantum fluctuations of its electric field due to the squeezing effect.

This is in stark contrast to typical light produced by intense lasers, known as coherent-state light, that exhibit only extremely weak quantum fluctuations. However, for BSV, the fluctuations can lead to extremely intense light pulses, containing up to one trillion (10¹²) photons in a single pulse, hence the term bright squeezed vacuum. Until now, no one had measured the temporal duration of single BSV pulses.

Unexplained sky flashes from the 1950s: Independent analysis supports their existence

Historical observations from an observatory in Germany have now independently verified evidence for brief, mysterious flashes of light in the night sky, first picked up by an American astronomical survey in the 1950s. Through fresh analysis of a German survey from the same period, independent researcher Ivo Busko, a now-retired developer at NASA, has uncovered striking new support for these puzzling signals. The results have been published as a preprint on arXiv.

In 2019, an international team of astronomers launched the VASCO Project, aiming to identify unusual phenomena hidden within vast archives of historical data. In particular, their work focused on astronomical transients: objects that suddenly appear in the sky in some images, but vanish in subsequent observations.

An especially exciting result emerged in 2025, when researchers analyzed photographic plates captured as part of the Palomar Observatory Sky Survey. Carried out in California throughout the 1950s, this ambitious program produced nearly 2,000 images of the night sky using long-exposure plates. Within these images, the team found clear evidence of transients with strange appearance and behavior, captured at a time that predates the launch of any human-made satellites.

Chaos shapes how meandering rivers change over time, research shows

Rivers are rarely the calm, orderly streams we imagine on maps. Over time, their winding paths—called meanders—shift, bend, and occasionally snap off in sudden “cutoff” events that shorten loops and reshape the landscape. While scientists have long suspected that such cutoffs inject a dose of unpredictability into river evolution, a new study published in Communications Earth & Environment demonstrates that these abrupt events are, by themselves, enough to produce chaos in river channels.

Harvard Ph.D. candidate Brayden Noh and NYU Tandon Assistant Professor Omar Wani used a widely used computational model to explore how meandering rivers evolve over time. This model isolates the essential dynamics: bends migrate laterally in proportion to curvature, and loops are occasionally severed through cutoffs. Other real-world complexities—like sediment transport, bank composition, and vegetation—are treated as secondary, allowing the researchers to focus squarely on the geometry-driven behavior of rivers.

To test the role of cutoffs, the team simulated rivers starting from nearly identical initial shapes, then introduced infinitesimally small perturbations to each of the multiple copies. They tracked how the channels diverged over time by mapping their evolving shapes onto a fixed grid and measuring differences cell by cell. In a striking counterfactual experiment, when cutoffs were disabled, the two channels stayed nearly identical over large time horizons. When cutoffs were allowed, even tiny initial differences grew exponentially, a hallmark of deterministic chaos.

Gravitational waves as possible candidates for the origin of dark matter

Gravitational waves could be responsible for the production of dark matter during the early phases of our universe’s formation, according to results of a new study by Professor Joachim Kopp from Johannes Gutenberg University Mainz (JGU) and the PRISMA Cluster of Excellence in cooperation with Dr. Azadeh Maleknejad from Swansea University. Their work, published in Physical Review Letters, presents new calculations that explore a novel mechanism for the formation of dark matter through so-called stochastic gravitational waves.

In this way, they contribute to answering a fundamental question in particle physics. Planets, stars, and even life on Earth are all composed of visible matter. This type of matter only makes up about 4% of our universe. The vast majority is invisible, consisting of dark matter and dark energy. For instance, dark matter makes up about 23% of our universe.

Astrophysical observations confirm that dark matter permeates the whole universe and forms galaxies as well as the largest known structures in the cosmos. However, the particles that make up dark matter are still unknown. Many theories and ongoing experiments are looking for an answer to this open question.

Superconductivity switched on in material once thought only magnetic

Superconductivity—the ability of a material to conduct electricity without any energy loss to heat—enables highly efficient, ultra-fast electronics essential for advanced technologies such as magnetic resonance imaging (MRI) machines, particle accelerators and, potentially, quantum computers. New research has now revealed that iron telluride (FeTe), a compound composed of the chemical elements iron and tellurium and long thought to be an ordinary magnetic metal, is in fact a superconductor. The researchers found that hidden excess iron atoms induce the material’s magnetism, and removing these atoms allows electricity to flow with zero resistance.

Two papers describing the research, both led by Penn State Professor of Physics Cui-Zu Chang, were published back-to-back today (April 1) in the journal Nature. The first paper focuses on how to “switch on” superconductivity in FeTe, while the second paper reveals a new kind of “quantum dance,” where superconductivity interacts with the material’s atomic structure when a different top layer is added, allowing researchers to tune its behavior.

“Unlike the well-known iron-based superconductor iron selenide (FeSe), FeTe has long been considered a magnetic metal without superconductivity, despite having an almost identical crystal structure,” Chang said. “It has remained a mystery why FeTe doesn’t share this important property.”

Hidden features in X-rays could radically change how we measure and understand them

Hidden features uncovered in X-ray signals are set to overturn a key scientific theory and fundamentally change how X-rays are interpreted across fields of physics, chemistry, biology and materials science, new research reveals. Researchers say the discovery can help scientists measure X-rays more precisely and reliably, and improve our understanding of common materials, from battery materials to biological proteins.

X-ray science focuses on the unique energy signatures of atoms. These include the specific X-rays emitted when electrons transition into inner shells—the strongest of which are known as K-alpha lines—as well as distinct energy thresholds at which atoms begin to strongly absorb X-rays.

For more than 50 years, the entire field has relied on the assumption that a core parameter in the equation used to model X-ray absorption spectra, known as the standard XAFS equation, is fixed and does not change.

Precision work prior to cell division: How enzymes optimize DNA structure

Before a cell can divide, it has to precisely duplicate its entire genetic information. However, the DNA in the cell exists as part of a DNA-protein complex known as chromatin. For this purpose, the DNA is wrapped around a core of histone proteins and tightly packed into so-called nucleosomes.

So that the genetic material can be reliably copied, the chromatin has to be temporarily reorganized in certain places and adopt a very specific architecture.

A team led by molecular biologists Professor Axel Imhof and Professor Christoph Kurat at the Biomedical Center (BMC) has now deciphered how the precise packaging of DNA is controlled at the beginning of cell division. The work is published in the journal Nature Communications.

Gemini South confirms long-suspected link between the composition of exoplanets and their host stars

Astronomers have discovered that a giant planet, WASP-189b, echoes the composition of its host star, providing the first direct evidence of a foundational concept in astrobiology. This discovery was achieved through the first-ever simultaneous measurement of gaseous magnesium and silicon in a planet’s atmosphere. The team used the Gemini South telescope, one half of the International Gemini Observatory. The findings are published in the journal Nature Communications.

Almost 320 light-years away in the Libra constellation lies WASP-189b, an exoplanet known as an ultra-hot Jupiter (UHJ). UHJs have temperatures high enough to vaporize rock-forming elements like magnesium (Mg), silicon (Si), and iron (Fe), offering a rare opportunity to see these elements using spectroscopy—the technique of breaking up light into its component wavelengths to identify the presence of chemicals.

An international team of astronomers led by Jorge Antonio Sanchez, a graduate student at Arizona State University (ASU), observed WASP-189b using the high-resolution Immersion GRating INfrared Spectrograph (IGRINS) when it was mounted on the Gemini South telescope in Chile. This powerful instrument allowed them to simultaneously measure the magnesium and silicon content of the exoplanet’s atmosphere.

Free software lets laptops simulate how aging evolves under selection

Why do some species live for only weeks while others survive for centuries? Researchers at the Leibniz Institute on Aging—Fritz Lipmann Institute (FLI) in Jena have developed AEGIS, a freely available software tool that enables scientists to simulate evolution on a standard computer and investigate how lifespan and aging evolve under different ecological pressures and genetic constraints.

Described in a new study published in PLoS Computational Biology, the platform represents years of development and marks an important milestone in the evolutionary biology of aging.

Aging is not a fixed property of life. Across the tree of life, species differ dramatically when they start to age, how fast they age, and how long they live. Understanding what evolutionary forces produced this diversity is one of the deepest open questions in biology.

Accuracy test for protein language models shines light into AI ‘black box’

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology by treating complex biological data like a language. Language models are increasingly used, for example, to find patterns in DNA and proteins, to make predictions and speed research into biological complexity. A critical gap, however, is the lack of a method to estimate the reliability of these predictions.

Computational biologists at Emory University have bridged this gap, developing a simple way to test the accuracy of a language model’s understanding of proteins. Nature Methods has published their system, which scores the reliability of a model’s predictions by comparing how it embeds (numerically codifies) synthetic random proteins versus proteins found in nature.

“To the best of our knowledge, our framework is the first generalized method to quantify protein sequence embedding reliability,” says Yana Bromberg, senior author of the paper and Emory professor of biology and computer science.

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