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Quantum properties of multimode light observed despite extreme losses
Quantum properties of light are extremely delicate. When researchers attempt to measure them, even small losses on the way to a detector can make them invisible, limiting their use outside carefully controlled environments. A collaborative team of researchers involving scientists at the Max Planck Institute for the Science of Light (MPL) has shown a new way to measure several quantum channels of light at the same time and reveal their entanglement, even when almost all of the light is lost before reaching the detector. The results, recently published in Nature Communications, open new possibilities for scalable quantum technologies.
Anyone who has used an old radio or television is familiar with noise in the sound or picture. These are random fluctuations that distort the transmitted information. Light behaves in a similar way. It also exhibits noise, appearing as fluctuations of the electromagnetic field. Even perfect laser light has such fluctuations, known as shot noise.
Single ion maps 3D electromagnetic fields above chips with record sensitivity
Researchers at ETH Zurich have developed a method that uses a single ion to detect electromagnetic fields above a surface and to create a three-dimensional map of them. In the future, this approach can be used to improve chips for quantum computers and quantum sensors.
Single electrically charged atoms—ions—have been successfully used for some time as quantum bits in quantum computers and quantum sensors. Unlike the bulky ion traps of the early years, there are now miniaturized chips in which ions can be trapped and manipulated only a hair’s breadth above the surface of the chip. This has many advantages, but also one decisive drawback: Noisy electromagnetic fields coming from the chip itself can severely impair the sensitive quantum states of the ions and hence the performance of the computer or sensor.
A team of researchers led by Jonathan Home, a professor at the Institute for Quantum Electronics at ETH Zurich, has now developed a technique that allows them to create a very precise three-dimensional map of electric and magnetic fields very close to the surface of the chip. In the future, materials for chip production can be better optimized and tested for their suitability for use in quantum applications. The results of their research were recently published in Science Advances.
Synchronized infrared lasers control molecular shape changes and expose hidden fingerprints
Researchers from the Molecular Physics and Physical Chemistry departments of the Fritz Haber Institute have shown how two highly synchronized infrared (IR) laser beams can control molecules as they switch between different structural conformations. Their study provides a new window into how molecules rearrange themselves during chemical reactions, offering fundamental insights into the microscopic processes that govern chemistry.
Chemical reactions are the foundation of all the processes that sustain life. Researchers around the world are working to develop precise physical descriptions of these processes to better understand, predict or specifically control them.
In chemical reactions, molecules undergo various structural transformations, changing their 3D shapes between different conformations. These changes can be visualized as movements across an energy landscape, where the shape of the terrain determines how fast a reaction proceeds. Similar to a ball rolling through a hilly landscape, a molecule must overcome energy barriers—the “mountains”—to settle into a new, stable state in the next “valley.”
Diffractive networks enable optical information transfer through random and unknown diffusers
The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, telecommunications and remote sensing. When light passes through a turbid or diffusive medium, such as biological tissue or a randomly structured optical material, the original image information can be severely distorted, making reliable recovery difficult.
Researchers at the University of California, Los Angeles (UCLA) have introduced interleaved diffractive networks to address this challenge by enabling optical information transfer through random and unknown diffusers. The work is published in the journal Laser & Photonics Reviews.
Orbitronics clears key hurdle with direct orbital currents, boosting signals 100-fold
Researchers at Johannes Gutenberg University Mainz (JGU) are the first to directly utilize orbital currents without the need for conversion of the orbital current into a spin current.
“We have thus realized the first purely orbitronic device approach,” said Dr. Christin Schmitt, a scientist in the research group of Professor Mathias Kläui at the JGU Institute of Physics.
Orbitronics is a promising technology for future memory devices, as it could enable the realization of large-scale storage media with extremely low energy consumption. It is based on orbital moments, which can be described in simplified terms as the quantum-mechanical “vortices” of electrons around atomic nuclei, as well as orbital currents, i.e., the movement of these circulations through an electrical conductor.
Spontaneous current loops in a kagome metal point to hidden quantum order
Quantum materials, materials exhibiting physical behavior governed by the laws of quantum mechanics, have proved promising for the development of numerous advanced technologies, including quantum technologies, memory devices and solar panels. In some of these materials, electrons can collectively arrange themselves in unusual patterns, giving rise to states that cannot be explained by classical physics theories.
For more than two decades, theoretical physicists have predicted the existence of a loop current order in some quantum materials. This is a state characterized by tiny electrical currents circulating around microscopic loops inside a crystal, which would produce no measurable electric current flowing through a material.
These current loops were predicted to emerge when electrons spontaneously organize themselves into a less symmetrical pattern than the crystal itself, even if atoms remain in similar positions. While this phenomenon was widely studied and described by theorists in the past, it has so far proved difficult to observe experimentally.
Airborne AI spots underwater munitions in shallow seas with high precision
A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ongoing hazard to public safety, marine ecosystems and infrastructure worldwide. By combining advanced multispectral sensing with artificial intelligence, the researchers were able to identify underwater munitions with high confidence, even when they are partially hidden by sediment, biological growth or debris.
Scientists at the University of Miami Rosenstiel School of Marine, Atmospheric, and Earth Science developed and tested the approach and published their findings in the April issue of Frontiers in Marine Science. The study demonstrates that integrating NASA underwater imaging technologies with machine learning enhances detection accuracy while reducing false positives in complex marine environments.
“Unexploded ordnance in shallow waters remains a serious global challenge,” said Ved Chirayath, Vetlesen Endowed Chair of Earth Sciences in the Department of Ocean Sciences, the study’s lead author. “Our results demonstrate a scalable, airborne solution that can help improve detection accuracy and support safer coastal environments.”
Giving drones a sense of ‘pain’ could help them predict instability before it happens
Imagine you’re running and you sprain your ankle. The pain makes you gingerly limp the rest of the way home. This is a great example of how nature adapts to failures in a system. The pain tells you: “If you continue running like normal, the injury will only get worse.” So you naturally adjust the way you run. Drones currently cannot do this with a worn-out propeller.
Researchers from Delft University of Technology and Wageningen University & Research have now demonstrated that a concept we learned from nature, which was originally developed to predict collapse in ecosystems, can also help detect when engineered systems are heading toward failure. This is crucial for ensuring drone and autonomous vehicle safety as they increasingly become part of everyday life.
“You can compare our approach to the way humans experience pain. After an injury, pain provides immediate feedback about our condition and helps us judge what actions remain safe,” says Jasper van Beers, a researcher at Delft University of Technology. “Machines generally lack this form of self-awareness. The new indicators, derived from real-time measurement data, offer a first step toward giving engineered systems a similar ability to recognize when they are approaching their limits.”
Analog gravity advance offers new insights into Hawking radiation from black holes
Hawking radiation is a form of radiation emitted by black holes, as theoretically predicted by Stephen Hawking. It suggests that black holes do not merely swallow matter—as had previously been assumed—but also emit very faint radiation themselves. This radiation has not yet been observed in space; instead, researchers use models in the laboratory that mimic the behavior of black holes.
Although the effect of Hawking radiation is well known in astrophysics, the mechanism by which it arises in a gravitational context has not yet been fully elucidated. A scientist from Paderborn University along with an international team of researchers from the Weizmann Institute of Science in Israel and Cinvestav in Mexico is now shedding light on this mechanism using gravitational analogs in the laboratory.
The team has theoretically modeled the process by which Hawking radiation is generated in a nonlinear optical environment, identifying a simple, direct mechanism in the process. Furthermore, the team was able to observe in experiments that the radiation affects the system. The results have now been published in Nature.