Wednesday, November 26, 2025

 THE PHILOSPHERS STONE 

Diamond defects, now in pairs, reveal hidden fluctuations in the quantum world


Princeton University, Engineering School
de Leon diamond-based quantum sensor 

image: 

Researchers led by Princeton's Nathalie de Leon have developed a new quantum sensing technique based on entangled point defects in lab-grown diamonds, enabling measurement of phenomena that are beyond the reach of today's best equipment. The sensor provides a new lens for studying condensed matter physics. Photo by David Kelly Crow

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Credit: Photo by David Kelly Crow




In spaces smaller than a wavelength of light, electric currents jump from point to point and magnetic fields corkscrew through atomic lattices in ways that defy intuition. Scientists have only ever dreamed of observing these marvels directly.

Now Princeton researchers have developed a diamond-based quantum sensor that reveals rich new information about magnetic phenomena at this minute scale. The technique uncovers fluctuations that are beyond the reach of existing instruments and provides key insight into materials such as graphene and superconductors. Superconductors have enabled today’s most advanced medical imaging tools and form the basis of hoped-for technologies like lossless powerlines and levitating trains.

The underlying diamond-based sensing methods have been under development for half a decade. But in a Nov. 27 paper in Nature, the team reported roughly 40-times greater sensitivity than previous techniques.

Nathalie de Leon, associate professor of electrical and computer engineering and the paper’s senior author, said the new technique gives researchers a way to directly observe the structure of “very small magnetic fields and very small length scales.” That enables unprecedented measurement and reveals details about magnetic fluctuations that hide in the statistical data of more conventional approaches.

“You have this totally new kind of playground,” de Leon said. “You just can't see these things with traditional techniques.”

A new way to study real quantum materials

Her team’s new technique is based on engineered defects near the surface of a lab-grown diamond. These diamonds, about the size of a large flake of sea salt, are far purer than natural diamonds, and the defects engineered into them are vanishingly small — one missing atom in a lattice of billions. But because those defects interact strongly with magnetic fields, and because they can be carefully engineered, they make excellent magnetic sensors.

Typically, these sensors are treated as individual points in space. In this latest advance, de Leon and her team built a system that implants two of these defects extremely close together, allowing the defects to interact in quantum-mechanical ways that, to the researchers’ surprise, made the overall system much more capable.

“That is a very new way of operating this quantum sensor that allows us to probe something which has not been possible before,” said Philip Kim, an experimental physicist at Harvard who was not involved in this study. Other techniques that try to get at this information have been confined to carefully constructed arrays of atoms, not real materials, Kim said. The new technique allows scientists to probe real materials directly. “That’s where the importance comes in.”

Kim is now working with de Leon using complementary techniques in his lab, where he studies condensed matter physics. Specifically, he looks at superconductors that can be cooled by liquid nitrogen to their critical temperatures, and graphene, a material that promises fantastical-seeming uses but that has proven difficult to engineer at scale.

Quantum entanglement reveals signals in the noise

To create the new sensor, the researchers fired nitrogen molecules traveling more than 30 thousand feet per second at the diamond. When a molecule strikes the diamond’s famously hard surface with that much energy, the molecule breaks apart, sending its two nitrogen atoms — no longer chemically bonded — hurtling in separate directions into the diamond’s crystalline structure.

By precisely controlling how much energy the molecule has when it slams into the diamond, the researchers can control how deep the nitrogen atoms penetrate. In this case, they drill past a few dozen carbon atoms and stop about 20 nanometers beneath the surface, coming to rest roughly 10 nanometers apart from each other. That exceedingly small separation allows the two atoms to interact with each other in ways that give rise to quantum entanglement, a property so foreign to human experience that Albert Einstein once derided it as “spooky action at a distance.”

When entangled, the electrons in these two nitrogen atoms begin to act in lock step. The measurement of one reveals a perfectly correlated measurement in the other. Because they still represent distinct points, like two eyes, the entangled sensors can triangulate signatures in the noisy fluctuations and effectively home in on the source of the noise.

At this size range, between the atomic scale and the wavelength of visible light, de Leon said scientists want to measure previously invisible quantities, like how far an electron travels through a material before bouncing off another particle, or the evolution of magnetic vortices that appear in superconducting materials under special conditions.

“That range is, in fact, the length scale of interest,” Kim said. “A good range where one can understand a lot of interesting things.”

A weakness in the sensor leads to quantum advantage

The breakthrough that led to this entangled sensor came from Jared Rovny, who began working with de Leon in 2020 as one of the inaugural Princeton Quantum Initiative postdoctoral fellows.

The COVID-19 pandemic had curtailed access to the lab when Rovny started. So, like many of his peers, he set to work on ideas that did not require in-person, experimental setups. He and de Leon decided to dig into the theory around magnetic noise and see if there were ways to use the diamond defects — called nitrogen vacancy centers — to detect correlations in the magnetic noise that hums in the background of condensed matter physics.

“It started as one of these weird, Covid, theory projects,” de Leon said. At the time, sensing correlations in magnetic noise was not a topic of scientific conversation, she said. In fact, they started the project out of pure curiosity, not sure where it would lead. “It was only after we started formalizing it that we realized how powerful it was.”

Rovny had a background in nuclear magnetic resonance, or NMR, in which interacting particles and their correlations were key to his research. This fed his curiosity and allowed the project to take a more serious turn.

“That NMR side of me was really always thinking about interactions,” Rovny said. “There were a bunch of different physics ideas I wanted to explore that had to do with interacting these things, not leaving them separate.” He is now a physicist at quantum computing startup Logiqal.

At first, working in collaboration with Shimon Kolkowitz, an atomic physicist at University of Wisconsin-Madison (now at University of California-Berkeley), they looked at correlations between two centers that were not entangled. While those methods led to interesting findings, and a 2022 paper in Science, they were also technically onerous and prohibitively complex for most experimental uses.

“What I realized is that if you entangled them,” Rovny added, referring to the nitrogen vacancy centers, “the presence or absence of a correlation sort of puts its fingerprint onto the system.”

That fingerprint allowed them to bypass the most cumbersome problems and gave them the advantage of two sensors with roughly the same cost of using only one.

“Now all I have to do is a single measurement,” de Leon said, “a single normal measurement.”


D.E.I. IS MERIT

Nathlie de Leon is a leader in diamond-based quantum sensing.

Credit

Princeton University; Office of Communications; Matthew Raspanti

The paper, “Multi-qubit nanoscale sensing with entanglement as a resource” (DOI 10.1038/s41586-025-09760-y), was published in Nature on November 26, 2025. The work was funded by the Gordon and Betty Moore Foundation, the National Science Foundation, and Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and the Office of the Director of National Intelligence.

 

Why watching someone get hurt on screen makes you wince




University of Reading




If watching Robert De Niro ordering hammer-based retribution on a cheat’s hand in Casino instinctively made you wince, you are not alone. Many people say that seeing bodily injury on film makes them flinch, as if they ‘feel’ it themselves. It is as if the sting leaps straight off the screen and into your skin.  

But explaining why and how this happens has puzzled scientists for a long time. Now, scientists from the University of Reading, Free University Amsterdam, and Minnesota, USA, have uncovered a major clue as to why. Parts of the brain originally thought to only process vision are also organised according to a ‘map’ of the body, allowing what we see to trigger echoes of touch sensations. 

The study, published today (Wednesday, 26 November), in the journal Nature, shows that watching movies can activate touch-processing regions of your own brain in a highly organised way. In short, your brain doesn’t just watch, it simulates what it sees. 

Dr Nicholas Hedger, lead author from the Centre for Integrative Neuroscience and Neurodynamics at University of Reading, said: “When you watch someone being tickled or getting hurt, areas of the brain that process touch light up in patterns that match the body part involved. Your brain maps what you see onto your own body, ’simulating’ a touch sensation even though nothing physical happened to you. 

“This cross-talk works in the other direction too. For example, when you navigate to the bathroom in the dark, touch sensations help your visual system create an internal map of where things are, even with minimal visual input. This ‘filling in’ reflects our different senses cooperating to generate a coherent picture of the world.” 

Body maps hidden in the visual system 

To show how it is possible that our sense of touch is activated purely by visual information, the researchers developed novel methods to analyse brain activity in 174 people while they watched films such as The Social Network and Inception. Surprisingly, brain regions traditionally considered to process purely visual information showed patterns that reflected sensations on the viewer’s own body, not just what appeared on screen. These visual regions contained ‘maps’ of the body similar to those usually found in touch-processing areas of the brain. In other words, the ‘machinery’ the brain uses to process touch is ‘baked in’ to our visual system. 

The study found two ways these body maps line up with visual information. In dorsal (higher up) regions of the visual system, body maps match where things appear in our field of view: Parts of the brain tuned to feet sensations were also tuned to lower parts of the visual scene, while parts tuned to face sensations were also tuned to upper parts of the visual scene. In ventral (lower down) regions, the body maps match what body part someone is looking at, regardless of where it appears in the visual scene. Put simply, our visual system is intimately connected to our sense of touch, mapping what we observe onto the coordinates of our body. 

The researchers are particularly excited by the clinical applications of this research. Dr Hedger said: “This discovery could transform how we understand conditions like autism. 

Many theories suggest that internally simulating what we see helps us understand other people's experiences, and these processes may work differently in autistic people. Traditional sensory tests are exhausting, especially for children or people with clinical conditions. We can now measure these brain mechanisms while someone simply watches a film, opening up new possibilities for research and diagnosis.”

 

The 2025 Los Angeles wildfires and outpatient acute health care utilization



JAMA Health Forum




About The Study: 

This cohort study observed substantial increases in acute health care utilization, especially virtual care-seeking following the Los Angeles fires. As disruptive climate events increase, such data are essential to inform health care preparedness and response.


Corresponding Author: To contact the corresponding author, Joan A. Casey, PhD, email jacasey@uw.edu.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamahealthforum.2025.4632)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jama-health-forum/fullarticle/10.1001/jamahealthforum.2025.4632?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=112625

 

Data-driven surgical supply lists can reduce hospital cost and waste



Researchers show that using advanced statistical models, streamlined versions of surgical supply lists can reduce hospital waste and improve operational efficiency


University of California - San Diego




Researchers at University of California San Diego School of Medicine, in collaboration with Data Science Alliance, a nonprofit promoting the importance of a responsible science environment, led a study showing that hospitals could save millions of dollars and significantly reduce surgical waste by rethinking supply lists used to prepare operating rooms, without compromising patient safety. 

The study, published in the November 26, 2025, online edition of JAMA Surgery, found that preference cards — hospital checklists of tools and supplies for surgeries — often include far more items than are actually needed. Over time, as these lists are copied and reused, unnecessary items accumulate, creating inefficiencies and waste, resulting in operating rooms being stocked with supplies that often go unused.

“In addition to decreasing waste per surgery, optimized surgical preference cards can save significant hours in preparation and cleanup between cases,” said Sean Perez, MD, lead author and surgical resident at UC San Diego School of Medicine. “This means that we have more time to help more patients through life-changing and life-saving operations and procedures.” 

Researchers analyzed thousands of surgeries across UC San Diego Health in urology, surgical oncology and colorectal specialties to identify which supplies were truly used. Across these areas, reducing unused items represented a major source of potential savings over five months — up to $3 million in items either being discarded or needing to be restocked.

Using advanced statistical models, the team streamlined versions of these lists that maintained full surgical readiness while sharply reducing waste. For patients, that could mean shorter wait times and lower health care costs.

“We hope this study encourages health systems to take a more data-driven approach to preference card maintenance,” said Karandeep Singh, MD, study senior author and chief health AI officer at UC San Diego Health. “Optimizing these lists means surgeries are prepared more efficiently and resources are used responsibly, without compromising safety or quality.”

Traditionally, preference cards are updated manually based on individual experience. This study introduces an evidence-based method using real-world data, making updates efficient and consistent.

UC San Diego Health is now implementing these streamlined lists in real-time surgical settings and exploring ways to automate updates so they stay accurate over time. The researchers believe this project demonstrates the practical impact data can have in health care by showing how responsible data science can cut hospital waste, boost operational efficiency and ultimately improve patient care.

Full study: https://doi.org/10.1001/jamasurg.2025.5179 

Co-authors include: Adir Mancebo Jr., Patricia Lopez, Leslie Joe, Zhihan Li, Mehri Sadri, Eduardo Spiegel-Pinzon, and Ryan Lopez, Data Science Alliance; Kristin Mekeel, University of Colorado Health; Bryan Clary, Christopher A. Longhurst, and Paul Benavidez, UC San Diego.

Funding support for the study came, in part, from the Joan & Irwin Jacobs Center for Health Innovation at UC San Diego Health.