Entanglement is often described as one of the most mysterious effects in quantum physics. When two quantum objects are entangled, measurements performed on them can remain strongly linked even when the objects are far apart. These unexpected statistical connections have no explanation in classical physics. The effect can appear as though measuring one object somehow influences the other at a distance. This phenomenon, known as the Einstein-Podolsky-Rosen paradox, was confirmed experimentally and recognized with the 2022 Nobel Prize in physics.

Using Distant Entanglement for Precision Measurements

Building on this foundation, a team led by Prof. Dr. Philipp Treutlein at the University of Basel and Prof. Dr. Alice Sinatra at the Laboratoire Kastler Brossel (LKB) in Paris demonstrated that entanglement between quantum objects separated in space can serve a practical purpose. Their work shows that spatially separated but entangled systems can be used to measure multiple physical parameters at once with improved precision. The results of the study were recently published in the journal Science.

“Quantum metrology, which exploits quantum effects to improve measurements of physical quantities, is by now an established field of research,” says Treutlein. Around fifteen years ago, he and his collaborators were among the first to entangle the spins of extremely cold atoms. These spins, which can be imagined as tiny compass needles, could then be measured more precisely than if each atom behaved independently without entanglement.

“However, those atoms were all in the same location,” Treutlein explains: “We have now extended this concept by distributing the atoms into up to three spatially separated clouds. As a result, the effects of entanglement act at a distance, just as in the EPR paradox.”

Mapping Fields With Entangled Atomic Clouds

This approach is especially useful for studying quantities that vary across space. For example, researchers interested in measuring how an electromagnetic field changes from place to place can use entangled atomic spins that are physically separated. As with measurements made at a single location, entanglement reduces uncertainty that arises from quantum effects. It can also cancel out disturbances that affect all of the atoms in the same way.

“So far, no one has performed such a quantum measurement with spatially separated entangled atomic clouds, and the theoretical framework for such measurements was also still unclear,” says Yifan Li, who worked on the experiment as a postdoc in Treutlein’s group. Together with colleagues at the LKB, the team studied how to minimize uncertainty when using entangled clouds to measure the spatial structure of an electromagnetic field.

To do this, the researchers first entangled the atomic spins within a single cloud. They then divided that cloud into three parts that remained entangled with one another. With only a small number of measurements, they were able to determine the field distribution with clearly higher precision than would be possible without entanglement across space.

Applications in Atomic Clocks and Gravimeters

“Our measurement protocols can be directly applied to existing precision instruments such as optical lattice clocks,” says Lex Joosten, PhD student in the Basel group. In these clocks, atoms are held in place by laser beams arranged in a lattice and serve as extremely precise “clockworks.” The new methods could reduce specific errors caused by how atoms are distributed within the lattice, leading to more accurate timekeeping.

The same strategy could also improve atom interferometers, which are used to measure the Earth’s gravitational acceleration. In certain applications, known as gravimeters, scientists focus on how gravity changes across space. Using entangled atoms makes it possible to measure these variations with greater precision than before.

The study found that even though only 2% of U.S. households use wood as their main source of heat, residential wood burning is responsible for more than one fifth of Americans’ winter exposure to outdoor fine particulate matter (PM_2.5).

These microscopic particles are small enough to travel deep into the lungs and enter the bloodstream. Long term exposure has been linked to serious health problems, including heart disease, lung disease, and premature death. Based on their analysis, the researchers estimate that pollution from residential wood burning is associated with about 8,600 premature deaths each year.

Urban communities face the greatest risks

One of the study’s most unexpected findings is where the greatest harm occurs. People living in cities are affected more than those in rural areas. The health impacts also fall disproportionately on people of color, who tend to burn less wood but experience higher exposure levels and greater health risks from wood smoke. The researchers point to higher baseline mortality rates and the lasting effects of past discriminatory policies as key factors behind this disparity.

The findings suggest that reducing wood burning inside homes could significantly lower outdoor air pollution, leading to major public health benefits and potentially saving thousands of lives.

The study was published on Jan. 23 in the journal Science Advances.

“Long-term exposure to fine particulate matter is associated with an increased risk of cardiovascular diseases,” said Northwestern’s Kyan Shlipak, who led the study. “Studies have shown consistently that this exposure leads to a higher risk of death. Our study suggests that one way to substantially reduce this pollution is to reduce residential wood burning. Using alternative appliances to heat homes instead of burning wood would have a big impact on fine particulate matter in the air.”

Why home wood burning is often overlooked

Wildfire smoke often dominates public attention, but pollution from everyday home heating rarely receives the same scrutiny.

“We frequently hear about the negative health impacts of wildfire smoke, but do not often consider the consequences of burning wood for heat in our homes,” said Northwestern’s Daniel Horton, the study’s senior author. “Since only a small number of homes rely on wood burning for heat, facilitating a home-heating appliance transition to cleaner burning or non-burning heat sources could lead to outsized improvements in air quality.”

Horton is an associate professor of Earth, environmental and planetary sciences at Northwestern’s Weinberg College of Arts and Sciences, where he directs the Climate Change Research Group (CCRG). Shlipak is an undergraduate in mechanical engineering at Northwestern’s McCormick School of Engineering and a member of the CCRG.

Mapping pollution neighborhood by neighborhood

For decades, air quality research and regulation have focused mainly on emissions from vehicles, power plants, agriculture, industry, and wildfires. In this study, the researchers turned their attention to a less studied source of pollution: wood burning in homes, including furnaces, boilers, fireplaces, and stoves.

The team began by collecting residential wood burning data from the National Emissions Inventory (NEI), a detailed database maintained by the U.S. Environmental Protection Agency. The NEI estimates emissions using information from household surveys, housing characteristics, climate conditions, and appliance types.

The researchers then applied a high resolution atmospheric model to simulate how pollution travels through the air. This model incorporates weather patterns, wind, temperature, terrain, and atmospheric chemistry to estimate changes in air quality over time.

“Wood burning emissions enter the atmosphere, where they are affected by meteorology,” Horton said. “Some emissions are considered primary pollutants, such as black carbon, and some interact with the atmosphere and other constituents, and can form additional, secondary species of particulate matter pollution.”

To identify detailed pollution patterns, the team divided the continental United States into a grid made up of 4 kilometer by 4 kilometer squares. For each grid square, they calculated how much pollution was produced each hour, how it moved through the air, and where it accumulated or dispersed. This approach allowed the researchers to pinpoint pollution hotspots that would not appear in broader city or county averages.

The model was run twice, once including residential wood burning emissions and once without them. By comparing the two results, the researchers determined that residential wood burning accounts for about 22% of wintertime PM_2.5 pollution. This makes it one of the largest single sources of fine particle pollution during the coldest months of the year.

Vulnerable populations bear the burden

The analysis showed that wood smoke pollution is especially harmful in urban and suburban areas, where population density, emissions patterns, and atmospheric movement combine to increase exposure. In many cases, smoke produced in suburban areas drifts into nearby city centers, where fewer homes burn wood but many more people live.

Cities that are not typically associated with wood burning can also be affected during cold snaps, recreational burning periods, and when smoke travels long distances through the atmosphere.

“Our results suggest that the impacts of residential wood burning are primarily an urban and suburban phenomenon,” Shlipak said. “This finding underscores the public health relevance of this pollution. We estimate that long-term exposure to emissions from wintertime wood burning is associated with approximately 8,600 deaths per year, and this estimate does not account for particulate matter exposures in other seasons.”

To understand who faces the greatest risks, the researchers combined their pollution estimates with U.S. census data and mortality statistics at the census tract level. They found that people of color experience higher exposure and greater health harms despite contributing less to wood burning emissions. In the Chicago metropolitan area, for example, Black communities face more than 30% higher adverse health effects from residential wood burning compared with the citywide average.

“While a lot of emissions from residential wood burning come from the suburbs, pollutants emitted into the air don’t typically stay put,” Horton said. “When this pollution is transported over densely populated cities, more people are exposed. Because people of color tend to be more susceptible to environmental stressors due to the long tail of past discriminatory policies, we estimate larger negative health outcomes for people of color.”

“People of color face both higher baseline mortality rates and higher rates of exposure to pollution from wood burning,” Shlipak said. “However, people of color are correlated with lower emissions rates, indicating that a large fraction of this pollution is transported to these communities, rather than emitted by them.”

The researchers note that the study focuses only on outdoor exposure to wood burning pollution. Health effects linked to indoor exposure to particulate matter were not included, even though they also pose serious public health risks.

The study, “Ambient air quality and health impacts of PM2.5 from U.S. residential wood combustion,” was supported by the National Science Foundation (award number CAS-Climate-2239834).

Earlier studies suggested the young woman, known as the Beachy Head Woman, may have had recent ancestry from sub-Saharan Africa or the Mediterranean. New genetic research now points in a different direction, indicating she was most likely from Britain.

Using advanced DNA sequencing, researchers aimed to resolve questions that have surrounded the Beachy Head Woman for more than a decade.

A Skeleton Found in a Basement

The remains were rediscovered in 2012 during the Eastbourne Ancestors Project, when a box was opened in the basement of Eastbourne Town Hall. Inside was the skeleton of a young woman from the Roman era. A handwritten label indicated she had been found near the Beachy Head headland sometime in the 1950s, but little additional information was available.

Public attention grew after early research suggested the woman may have had recent sub-Saharan African ancestry. If correct, the skeleton would have represented rare early evidence of African ancestry in Roman Britain.

Later, unpublished research proposed a different origin, suggesting she may have come from the Mediterranean, possibly Cyprus. That conclusion, however, relied on poorly preserved DNA, leaving uncertainty around her true background.

New DNA Methods Bring New Answers

Researchers have since returned to the skeleton with improved analytical tools. According to Dr. William Marsh, one of the scientists who analysed the DNA, the new results suggest a much closer connection to Britain.

“By using state-of-the-art DNA techniques and newly published genomes, we were able to determine the ancestry of the Beachy Head Woman with much greater precision than before,” William reveals. “We show she carries genetic ancestry that is most similar to other individuals from the local population of Roman-era Britain.”

Dr. Selina Brace, an ancient DNA specialist and senior author of the study, says the evolving interpretation reflects how science progresses over time.

“Our scientific knowledge and understanding is constantly evolving, and as scientists, it’s our job to keep pushing for answers. Thanks to the advancement of technology that has occurred in the past decade since Beachy Head Woman first came to light, we are excited to report these new comprehensive data and share more about this individual and her life.”

The research findings were published in the Journal of Archaeological Science.

Life in Roman Britain

Britain’s earliest major encounter with Ancient Rome occurred in 55BCE, when Julius Caesar led a military campaign to what is now Kent. Roman Britain itself was established nearly a century later under Emperor Claudius.

At its height, Roman control extended from southern England to the Antonine Wall north of modern-day Glasgow. The region included extensive networks of forts, roads, and towns linked to the wider Roman Empire, facilitating movement across Europe, north Africa, and beyond.

Historical inscriptions and archaeological evidence show that travel between Britain and north Africa was common during this period and continued even after Roman rule ended. Ancient DNA studies have also identified people with mixed European and sub-Saharan ancestry living in Dorset and Kent during the seventh century.

What We Know About the Beachy Head Woman

During the Roman occupation, the area around Beachy Head was dotted with settlements and infrastructure tied to the empire. Archaeological sites nearby include a villa at Eastbourne, a fort at Pevensey, and rural communities at Bullock Down and Birling. Several burials have been found in the region, including adults and a child.

The exact burial location of the Beachy Head Woman remains unknown, but radiocarbon dating indicates she died between 129 and 311 AD, aligning with the Roman period in Britain.

Physical analysis of her skeleton offers further insight into her life. She was likely between 18-25 years old at the time of her death and stood slightly over 1.5 meters tall. A healed injury on her leg points to a serious but survivable wound earlier in her life.

Chemical signatures in her bones also provide clues about her diet. Carbon and nitrogen levels suggest she regularly consumed seafood.

From Early DNA Clues to Clearer Evidence

Initial genetic analysis began in 2017, when researchers first attempted to extract DNA from the remains. Those early results hinted at a Mediterranean origin, but the DNA was limited in quantity and quality.

Because the data were insufficient to support firm conclusions, the findings were not published.

By 2024, advances in ancient DNA techniques made it possible to recover far more genetic material. Researchers returned to the skeleton and successfully sequenced significantly higher-quality DNA.

This expanded dataset allowed for a more detailed comparison with known populations. The analysis showed the Beachy Head Woman’s DNA most closely matched rural communities from Roman-era Britain, with no evidence of recent African or Mediterranean ancestry. Based on these results, researchers concluded she likely originated from southern England.

Reconstructing a Face From the Past

The improved DNA data also enabled modern forensic analysis. Scientists predicted that the Beachy Head Woman probably had light skin pigmentation, blue eyes, and fair hair. These findings were used to update her digital facial reconstruction.

As DNA technology continues to advance, researchers expect even deeper insights into the lives of people who lived thousands of years ago, allowing forgotten individuals like the Beachy Head Woman to be better understood within their historical world.

The study, published in Scientific Reports (Nature Portfolio), points to a significant shift. Generative AI systems have now reached a level where they can outperform the average human on certain creativity measures. At the same time, the most creative people still show a clear and consistent advantage over even the strongest AI models.

AI Reaches Average Human Creativity Levels

Researchers evaluated several leading large language models, including ChatGPT, Claude, Gemini, and others, and compared their performance with results from more than 100,000 human participants. The findings highlight a clear turning point. Some AI systems, including GPT-4, exceeded average human scores on tasks designed to measure divergent linguistic creativity.

“Our study shows that some AI systems based on large language models can now outperform average human creativity on well-defined tasks,” explains Professor Karim Jerbi. “This result may be surprising — even unsettling — but our study also highlights an equally important observation: even the best AI systems still fall short of the levels reached by the most creative humans.”

Further analysis by the study’s co-first authors, postdoctoral researcher Antoine Bellemare-Pépin (Université de Montréal) and PhD candidate François Lespinasse (Université Concordia), revealed a striking pattern. While some AI models now outperform the average person, peak creativity remains firmly human.

In fact, when researchers examined the most creative half of participants, their average scores surpassed those of every AI model tested. The gap grew even larger among the top 10 percent of the most creative individuals.

“We developed a rigorous framework that allows us to compare human and AI creativity using the same tools, based on data from more than 100,000 participants, in collaboration with Jay Olson from the University of Toronto,” says Professor Karim Jerbi, who is also an associate professor at Mila.

How Scientists Measure Creativity in Humans and AI

To evaluate creativity fairly across humans and machines, the research team used multiple methods. The primary tool was the Divergent Association Task (DAT), a widely used psychological test that measures divergent creativity, or the ability to generate diverse and original ideas from a single prompt.

Created by study co-author Jay Olson, the DAT asks participants, whether human or AI, to list ten words that are as unrelated in meaning as possible. An example of a highly creative response includes words like “galaxy, fork, freedom, algae, harmonica, quantum, nostalgia, velvet, hurricane, photosynthesis.”

Performance on this task is strongly linked to results on other established creativity tests used in writing, idea generation, and creative problem solving. Although the task is language-based, it goes well beyond vocabulary. It engages broader cognitive processes involved in creative thinking across many domains. The DAT also has practical advantages, as it takes only two to four minutes to complete and can be accessed online by the general public.

From Word Lists to Real Creative Writing

The researchers then explored whether AI success on this simple word association task could extend to more complex and realistic creative activities. To test this, they compared AI systems and human participants on creative writing challenges such as composing haiku (a short three-line poetic form), writing movie plot summaries, and producing short stories.

The results followed a familiar pattern. While AI systems sometimes exceeded the performance of average humans, the most skilled human creators consistently delivered stronger and more original work.

Can AI Creativity Be Adjusted?

These findings raised another important question. Is AI creativity fixed, or can it be shaped? The study shows that creativity in AI can be adjusted by changing technical settings, particularly the model’s temperature. This parameter controls how predictable or adventurous the generated responses are.

At lower temperature settings, AI produces safer and more conventional outputs. At higher temperatures, responses become more varied, less predictable, and more exploratory, allowing the system to move beyond familiar ideas.

The researchers also found that creativity is strongly influenced by how instructions are written. For example, prompts that encourage models to think about word origins and structure using etymology lead to more unexpected associations and higher creativity scores. These results emphasize that AI creativity depends heavily on human guidance, making interaction and prompting a central part of the creative process.

Will AI Replace Human Creators?

The study offers a balanced perspective on fears that artificial intelligence could replace creative professionals. While AI systems can now match or exceed average human creativity on certain tasks, they still have clear limitations and rely on human direction.

“Even though AI can now reach human-level creativity on certain tests, we need to move beyond this misleading sense of competition,” says Professor Karim Jerbi. “Generative AI has above all become an extremely powerful tool in the service of human creativity: it will not replace creators, but profoundly transform how they imagine, explore, and create — for those who choose to use it.”

Rather than signaling the end of creative careers, the findings suggest a future where AI serves as a creative assistant. By expanding ideas and opening new paths for exploration, AI may help amplify human imagination rather than replace it.

“By directly confronting human and machine capabilities, studies like ours push us to rethink what we mean by creativity,” concludes Professor Karim Jerbi.

About the Study

The paper titled “Divergent creativity in humans and large language models” was published in Scientific Reports on January 21, 2026. The research brought together scientists from Université de Montréal, Université Concordia, University of Toronto Mississauga, Mila (Quebec AI Institute), and Google DeepMind.

Professor Karim Jerbi led the study, with Antoine Bellemare-Pépin (Université de Montréal) and François Lespinasse (Université Concordia) serving as co-first authors. The research team also included Yoshua Bengio, founder of Mila and LoiZéro, and a pioneer of deep learning, the technology behind modern AI systems such as ChatGPT.