Sunday, October 25, 2026

 

Supercurrent enables the reading of quantum information without destroying it



The theoretical proposal eliminates the need for auxiliary circuits to “eavesdrop” on quantum bits by transforming the system’s own electric current into a mirror of the information.





Fundação de Amparo à Pesquisa do Estado de São Paulo






 One of the fundamental challenges of quantum computing is obtaining information from a quantum bit, or qubit. Unlike a conventional bit, which can be read repeatedly without altering its content, direct measurement of a quantum system typically causes the state to collapse before it can be determined. In other words, reading the information modifies it.

A new study with support from FAPESP proposes circumventing this problem by utilizing a unique property of a certain type of qubit called an “Andreev qubit.” This qubit produces an oscillating electric supercurrent through its own quantum dynamics. This supercurrent would serve as a macroscopic indicator of the qubit’s state, enabling its reconstruction in a virtually non-destructive manner.

The study was published in the journal Physical Review B Letters and was led by José Carlos Egues, a full professor at the São Carlos Institute of Physics at the University of São Paulo (IFSC-USP) in Brazil, and Yugui Yao of the School of Physics at the Beijing Institute of Technology in China. According to the authors, this method could eliminate the need for ancillas, auxiliary qubits used in current techniques for non-destructive quantum readout.

Before delving into these dynamics, it is important to understand the context of the phenomenon. Qubits are the fundamental units of information in quantum computers. While a classical bit can only be 0 or 1, a qubit can exist in various superpositions of these two states. This property gives quantum computing some of its most powerful characteristics but also makes the information extremely vulnerable to interaction with the environment and the measurement process itself.

“In the conventional formulation of quantum mechanics, a projective measurement causes the system to assume one of the states associated with the measured quantity. Thus, if a qubit has been prepared in a certain superposition of 0 and 1, its direct measurement tends to destroy that superposition and, consequently, the information it contained,” says Egues.

To overcome this difficulty, “quantum nondemolition measurements,” or QND, were developed. In many of these protocols, the qubit’s information is transferred to an auxiliary quantum system called an ancilla. The word “ancilla” comes from Latin and means “slave” or “servant.” Today, figuratively speaking, the term is used to refer to something that serves another thing. In this case, measurements are taken on the ancilla to preserve the original qubit as much as possible.

While the procedure is effective, it requires preparing the ancillas, coupling them to the qubit, transferring the information, and performing successive measurements, which can be time-consuming. In systems with many qubits, this additional infrastructure can represent considerable experimental overhead.

“Our strategy is different. Instead of transferring the information to an auxiliary qubit, we seek to obtain it from a signal produced by the qubit under study itself,” says the researcher.

As previously mentioned, the qubit under study is an “Andreev qubit.” It is named after the Soviet physicist Alexander Andreev (1939–2023), who, in 1964, described a quantum process characteristic of the interface between normal and superconducting materials. These states, known as “Andreev states,” are produced by this process and confined to the nanoscale region separating two superconducting materials. They can be used to encode the basic states 0 and 1, as well as their superpositions.

“In the system under consideration, this region is a quantum dot – that is, a nanoscale structure in which electrons are spatially confined – formed in an indium arsenide [InAs] nanowire connected to superconducting materials on both sides. It’s in this environment that the states characterizing the Andreev qubit are formed,” Egues explains.

One property of this system is the circulation of a “supercurrent.” This is an electric current that flows without resistance. The study showed that when the qubit is in a superposition of its basic states, the supercurrent exhibits an oscillating component over time. This oscillation, produced by quantum interference between the states that comprise the superposition, carries information about the qubit’s state. “It’s precisely that property that we use to read the qubit. It’s that supercurrent that lies at the heart of our proposal,” the researcher points out.

A signature of the quantum state

Any qubit state can be geometrically represented by a point on the so-called “Bloch sphere.” Each point on the surface of this sphere corresponds to a specific superposition of the basic states 0 and 1, and the position of a point is defined by two angles. One angle indicates the proportion in which states 0 and 1 contribute to the superposition, and the other angle indicates the phase relationship between them. Therefore, knowing these two angles is equivalent to knowing the state of the qubit.

“Our study showed that this information is encoded in the supercurrent itself. The supercurrent has a constant component and a fluctuating component. The value of the constant component and the amplitude of the oscillation reveal the proportion of each state (0 and 1) in the superposition, and the moment when that oscillation begins reveals the phase relationship between them. Thus, by measuring how the current varies over time, it’s possible to reconstruct the initial state of the qubit,” Egues explains.

However, there is another important aspect to this phenomenon. In superconducting systems of this type, an electric voltage is usually necessary to cause the supercurrent to oscillate rather than remain constant over time. This is known as the “AC Josephson effect.” In the system studied, however, the current can oscillate without the application of any external voltage. “Our system generates a supercurrent that varies over time like an alternating current but without voltage. It’s the very evolution of the qubit’s state that produces that oscillation,” says Egues.

Thus, the current constitutes a macroscopic manifestation of the system’s microscopic quantum dynamics. It is precisely this bridge between the two scales that the researchers exploit to read the qubit.

The Andreev qubit is incorporated into a closed superconducting circuit through which the aforementioned supercurrent circulates. Near this circuit, a SQUID (superconducting quantum interference device), an instrument extremely sensitive to weak magnetic fields, is placed.

As the supercurrent flows through the circuit, it produces a magnetic field that varies with it. The SQUID detects these variations and uses them to determine how the current is behaving. This behavior provides information about the qubit’s state, so it is possible to reconstruct that state without directly measuring it.

Egues uses a simple analogy: “We can think of the qubit as one compass and the SQUID as another compass. The current in the circuit produces a magnetic field, and the SQUID ‘senses’ that field. Since the coupling between the two is very weak, the effect of the measuring instrument on the qubit tends to be very small.”

This issue is crucial because, in quantum physics, the measuring instrument is not a passive observer. By interacting with the system, it produces feedback that can alter what one intends to measure. The influence of the measuring device on what is being measured caused great perplexity among physicists in the early days of quantum physics. However, it is inevitable. It is, so to speak, an intrinsic characteristic of material reality. The proposed device also has feedback. However, simulations carried out in the study indicated that it can be reduced to values so small that they become irrelevant.

“Our method doesn’t eliminate the fundamental problem of quantum measurement. But it can approach the limit of a non-destructive readout and, at the same time, avoid the use of auxiliary qubits – the ancillas – employed in other non-destructive quantum measurement protocols,” Egues notes.

There is another advantage. After each measurement, there is no need to reset the qubit to its initial state. Measurements can be performed successively as the system evolves, enabling the tracking of its dynamics over time.

Within the limits of the margin of error

The researchers also sought to determine if the approach would work despite the inevitable imperfections of a real experiment. To accomplish this, they ran simulations that incorporated noise into the measurements and took into account the feedback caused by the small detection coil.

Depending on the number of measurements considered, the simulations yielded accuracies of 99.52%, 99.81%, and 99.85%. These results fall within the standard thresholds adopted in quantum error correction schemes.

The study is entirely theoretical. However, according to Egues, this does not mean that the device depends on nonexistent components or future technological advances. “All the numbers we used are realistic. In principle, this can be achieved. In fact, we used parameters from existing systems in our calculations. What doesn’t yet exist is that geometry, that setup that we proposed,” he argues.

This distinguishes the work from other theoretical proposals whose realization depends on advances in material or device fabrication. The detection of extremely small currents and magnetic fields by SQUIDs, for example, is an established technology.

The proposal thus combines two results. The first result is in fundamental physics: the prediction of an oscillating supercurrent similar to the AC Josephson effect but generated by the qubit’s own coherent evolution without an external voltage. The second result is technological: using the characteristics of this current as a signature that allows the qubit’s state to be reconstructed with minimal perturbation.

If the prediction is confirmed through experimentation, the method could provide a simpler architecture for reading Andreev qubits by eliminating the need for ancillas and successive resets. It could also exploit a promising feature of these systems by accessing microscopic quantum information through a macroscopic electric current produced by the qubit itself.

About São Paulo Research Foundation (FAPESP)

The São Paulo Research Foundation (FAPESP) is a public institution with the mission of supporting scientific research in all fields of knowledge by awarding scholarships, fellowships and grants to investigators linked with higher education and research institutions in the State of São Paulo, Brazil. FAPESP is aware that the very best research can only be done by working with the best researchers internationally. Therefore, it has established partnerships with funding agencies, higher education, private companies, and research organizations in other countries known for the quality of their research and has been encouraging scientists funded by its grants to further develop their international collaboration. You can learn more about FAPESP at www.fapesp.br/en and visit FAPESP news agency at www.agencia.fapesp.br/en to keep updated with the latest scientific breakthroughs FAPESP helps achieve through its many programs, awards and research centers. You may also subscribe to FAPESP news agency at http://agencia.fapesp.br/subscribe.

 

‘Digital twin’ of the chest simulates application of light for treatment of pneumonia



A computational model predicts the path of light radiation within the body to tailor noninvasive therapies to each patient’s anatomy




Fundação de Amparo à Pesquisa do Estado de São Paulo

‘Digital twin’ of the chest simulates application of light for treatment of pneumonia

image: 

Light-based therapy applied to a lung intended for transplantation. The same type of light source can be used to treat pneumonia 

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Credit: Cristina Kurachi






Researchers at the University of São Paulo (USP) in Brazil and their international collaborators have created a computational model that can generate a “digital twin” of the human thorax. The goal is to personalize the treatment of respiratory diseases using a special type of light. Described in a paper published in PNAS, the journal of the U.S. National Academy of Sciences, the new technology uses CT scans to predict the path that light radiation will take inside the body. This makes it possible to calculate the exact dose needed to combat infections and inflammation directly in the lungs by simply illuminating the person from the outside.

Light-based therapies have been used to treat inflammation or infections in various organs. The two main approaches are photodynamic therapy, which uses light to activate a photosensitive substance that generates reactive species capable of destroying microorganisms in the presence of oxygen, and photobiomodulation, which uses low-intensity light to modulate cellular processes and inflammatory responses. However, in the case of the lungs, the use of these techniques presents a significant challenge. To reach the organ noninvasively, the externally applied light must pass through the skin, fat, muscles, bones, and other chest tissues, undergoing absorption and scattering along the way.

Thus, the same amount of light applied to two people’s chests can produce very different effects in their lungs. To address this issue, the authors combined computed tomography images, three-dimensional anatomical reconstructions, and computational simulations accelerated by high-performance computing. This process created a “digital twin” of each patient’s chest. This information makes it possible to estimate how much light will reach different regions of the lungs and which configuration would be most appropriate for each anatomy and pathological condition.

“Since our strategy uses external illumination, we need to know how much light reaches the lung and if the dose is sufficient to activate the drug in photodynamic therapy or induce the biological response in photobiomodulation,” says Cristina Kurachi, a professor at the São Carlos Institute of Physics at the University of São Paulo (IFSC-USP) who coordinated the study alongside Vanderlei Bagnato, also from IFSC-USP. Researchers from the Hospital das Clínicas of the USP Medical School (HC-FM-USP), Texas A&M University in the United States, and Victoria University of Wellington in New Zealand also participated.

As Bagnato points out, the lung is a particularly difficult target for light-based therapies. One alternative would be to deliver light to the organ via bronchoscopy, which uses a thin tube with a camera (a bronchoscope) that is inserted through the nose or mouth. However, the procedure is invasive and may worsen the patient’s condition.

“External illumination is much simpler. However, in addition to the absorption and scattering that light radiation undergoes on its way to the organ, the lung itself isn’t a homogeneous medium. Air, lung tissue, blood vessels, and regions altered by inflammation or collapse have different optical properties. Focal pneumonia [concentrated in a specific region], diffuse pneumonia [in various regions of both lungs], and COVID-19, for example, alter the distribution and density of lung tissues in distinct ways,” Bagnato explains.

This complexity makes the idea of applying the same light intensity to all patients, for the same duration and in the same position, inappropriate in principle.

“Our solution was to use patient images, incorporating the anatomy of the tissues and their varying thicknesses, to create a ‘digital twin.’ In it, we included the optical properties of the tissues – that is, how much light is absorbed and how much is scattered – to try to predict the amount that actually reaches the lung and thus result in individualized dosimetry and a more effective therapeutic response,” Kurachi explains.

The first step involves converting the images obtained by computed tomography into a three-dimensional model of the patient. The tomography volumes are segmented, meaning the computer identifies and separates the various anatomical structures. In the study, 12 types of tissue and structures were represented: skin, subcutaneous fat, muscles, bones, heart, liver, stomach, kidneys, and in the lungs, normally ventilated tissue, collapsed regions, infiltrates, and blood vessels.

This anatomy is divided into small volumetric elements called voxels, which are the three-dimensional equivalents of pixels in a digital image. In the model used, each voxel measured 0.1 centimeter on each side. The result is a detailed computational representation of the thoracic cavity. Then, each tissue is assigned optical parameters, specifically the coefficients of light absorption and scattering at different wavelengths.

“With all this data incorporated into the model, Monte Carlo simulation comes into play. Rather than attempting to find a single analytical solution for light propagation in extremely heterogeneous anatomy, the simulation calculates the fate of millions of photons as they travel, scatter, or are absorbed by different tissues,” Bagnato explains.

Monte Carlo simulation is a computational method that uses repeated random sampling to obtain numerical solutions to complex problems involving many variables and probabilistic behaviors.

“Based on the collective behavior of the photons, the system constructs three-dimensional maps of the distribution of light and the energy absorbed within the body. In the study, the platform was fed CT scans of people with various pulmonary conditions. The group included four individuals from HC-FM-USP: one control subject without lung disease and three patients with predominantly focal bacterial pneumonia, diffuse bacterial pneumonia, and viral pneumonia caused by COVID-19, respectively. Two other volunteers participated in optical measurements used for the experimental validation of the model. The CT images were used to construct the ‘digital twin,’ and light distribution measurements were obtained from the volunteers, which allowed us to assess the model’s performance,” Kurachi explains.

The reconstructions clearly showed the extent to which disease alters the organ. In the healthy patient used as a reference, approximately 91% of the organ was normal tissue capable of filling with air to facilitate respiration. However, in the patient with focal pneumonia, the healthy area decreased to 58.9%. In the case of diffuse pneumonia, the healthy area was even smaller, at just 54.1%. The patient with COVID-19 showed a significant loss of lung function, retaining only about 69.9%. This lost functional space was eventually taken up by inflammation, collapsed areas that can no longer facilitate gas exchange, and an increase in blood vessels. These major physical changes make the organ denser and alter its interaction with light.

The position of the light source makes a difference

Initially, different wavelengths and four configurations for positioning the light sources around the chest were evaluated. One result stood out: light at 808 nanometers, which is in the near-infrared spectrum and is therefore invisible to the human eye, showed the highest energy deposition in the lungs across all configurations tested.

The position of the light sources was also crucial. A configuration that illuminated the lateral and dorsal regions of the chest provided the most uniform distribution and highest energy deposition in the lungs. In contrast, frontal illumination alone performed poorly, mainly due to attenuation caused by the ribs and, in the anterior region of the chest, by breast adipose tissue.

“If the patient has early-stage pneumonia localized to one region of the lung, why illuminate the entire lung or both lungs? If the pneumonia is severe and diffuse, the situation is different. Based on the characteristics of the light source, the patient, and the disease itself, we determine which panels need to be turned on and how the illumination should be configured. We no longer simply illuminate without knowing the exact outcome. Instead, we tailor the planning to each individual case,” Kurachi emphasizes.

Of the simulations evaluated, the multi-angular configuration tested at 808 nanometers produced the most uniform and efficient distribution. This configuration involves positioning light sources around the patient to illuminate the chest from multiple directions simultaneously, combining the front, back, and sides of the body.

The differences observed in the simulations were not solely due to each patient’s anatomy. The disease itself alters the structure of the lungs, consequently altering the way tissues interact with light and the amount of light energy they absorb. The portion of light energy absorbed by the tissue is referred to by the researchers as “energy deposition.”

In the simulations, regions of collapsed lungs – where the alveoli lose air and the tissue becomes denser – exhibited the highest energy deposition proportionally, ranging from 3% to 4.5%. In normally ventilated lung parenchyma, the region composed of millions of alveoli where gas exchange occurs, this value was around 1% to 2%. Regions infiltrated by inflammation showed intermediate values. This occurs because changes in tissue density and composition alter light absorption and scattering properties. “From the perspective of treatment using photonic techniques, this behavior is positive since we want the greatest deposition and absorption of energy precisely in the regions where the disease is established while preserving normal lung tissue,” Kurachi notes.

These differences produced characteristic patterns for each clinical condition. In focal pneumonia, the greatest energy deposition was concentrated in the affected areas, forming well-defined zones that were distinct from healthy tissue. In diffuse pneumonia, energy was distributed more homogeneously across extensive regions of the lung. In cases of COVID-19, a bilateral and peripheral pattern emerged, corresponding to the distribution of opacities observed on CT scans.

“This study aims precisely to prevent patient radiation therapy planning from being done ‘in the dark,’ that is, placing radiation in a certain location without knowing how much will actually reach the target. The goal is to tailor the treatment plan based on the patient’s characteristics and the specific disease,” Kurachi summarizes.

How much light actually reaches the lungs?

Calculations showed that only a small fraction of the light applied to the skin reaches the lungs. Using 808-nanometer infrared light with an irradiance of 100 milliwatts per square centimeter (mW/cm²) on the skin yielded the best results. The average irradiance in a healthy lung was only 0.0234 mW/cm². In diseased lungs, the irradiance was even lower: 0.0166 mW/cm² in focal pneumonia, 0.0120 mW/cm² in diffuse pneumonia, and 0.0113 mW/cm² in patients with COVID-19. These conditions require long illumination times in a clinical setting, but intervals ranging from 40 to 80 minutes are sufficient to deliver the necessary energy for photobiomodulation and photodynamic therapy.

This is because much of the light is absorbed or scattered by the tissues it encounters along the way. The amount that reaches the lungs varies from person to person, as well as between different regions of the organ itself. This variation depends on factors such as the thickness of the chest wall, the geometry of the lungs, and changes caused by the disease.

“This is precisely where the digital twin can make a difference. We can use everything we’re able to observe in the patient to plan what we can’t observe directly. The goal is to get as close as possible to the required light distribution and make the treatment more precise,” Bagnato emphasizes.

The researchers have a precise plan for a future application. First, a high-resolution CT scan or MRI would produce a three-dimensional image of the patient’s anatomy. Healthy and diseased regions would then be identified. Next, the model would be assigned the optical properties corresponding to the different tissues.

Then, computer simulations would calculate how light propagates inside the chest in question. Before performing the actual procedure, the physician could virtually test different wavelengths, intensities, and source positions to choose the most appropriate configuration. Thus, the “digital twin” would function as a computational testing ground for the treatment.

However, it should be noted that the model is not yet ready for clinical use. The optical properties attributed to the different tissues were primarily obtained from the literature and do not account for all individual variations. Additionally, while the simulation results align with experimental measurements, further validation of the amount of light reaching the interior of the lungs is necessary.

Progress toward clinical application has already begun, though. “We’re conducting an in vivo study on sheep in the United States. Sheep develop pneumonia similar to that seen in humans, including cases caused by the same bacterium. This is a preparatory step toward moving on to human subjects,” Bagnato explains.

The next steps include further experimental and clinical validations, as well as real-time measurement of the light dose in the future. The goal is to develop personalized treatments that determine how much light to apply to the skin and how much should reach the intended region of the lung.

However, for Bagnato, technological sophistication must go hand in hand with another concern. “We’re scientists committed to the relevance of our research. We want to solve problems, but we also operate with social responsibility. We don’t want to create technology that’s too expensive, can’t be integrated into the Unified Health System [SUS], or used widely. A good treatment must be accessible to the population. The economic reality must be taken into account in what we're developing,” he says.

The study was funded by FAPESP through the Optics and Photonics Research Center (CEPOF) and the Thematic Project “Advanced Photonic Technologies for the Life Sciences”, both of which are coordinated by Bagnato.

About São Paulo Research Foundation (FAPESP)

The São Paulo Research Foundation (FAPESP) is a public institution with the mission of supporting scientific research in all fields of knowledge by awarding scholarships, fellowships and grants to investigators linked with higher education and research institutions in the State of São Paulo, Brazil. FAPESP is aware that the very best research can only be done by working with the best researchers internationally. Therefore, it has established partnerships with funding agencies, higher education, private companies, and research organizations in other countries known for the quality of their research and has been encouraging scientists funded by its grants to further develop their international collaboration. You can learn more about FAPESP at www.fapesp.br/en and visit FAPESP news agency at www.agencia.fapesp.br/en to keep updated with the latest scientific breakthroughs FAPESP helps achieve through its many programs, awards and research centers. You may also subscribe to FAPESP news agency at http://agencia.fapesp.br/subscribe.

 

From sea anemone to human fertility: A new research organism for understanding meiosis



Stowers Institute scientists found that the sea anemone Nematostella uses many of the same proteins humans rely on to make eggs and sperm, offering the potential for new insights into infertility, miscarriage, and birth defects





Stowers Institute for Medical Research

"A really excellent system" for studying meiotic biology

video: 

Stowers Institute Investigator and Graduate School President Matt Gibson, Ph.D., describes new findings published in Science Advances showing that the sea anemone Nematostella vectensis uses many of the same proteins humans rely on to make eggs and sperm. Although the proteins and the synaptonemal complex they form resemble those in vertebrates, their functions differ, and Nematostella’s eight gonads, transparent color, and abundant gametes make it a promising system for studying meiosis in live samples. 

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Credit: Stowers Institute for Medical Research





Key Highlights 

  • New knowledge for fertility research: Nematostella vectensis carries eight of the ten proteins humans use to pair and align meiotic chromosomes, making it a promising system for understanding the process behind human fertility. 

  • Same parts, different jobs: Sea anemone proteins that closely resemble those in mammals do different jobs and can have different roles in males and females. 

  • A path to live imaging: The findings open the door to observing meiotic cell division in living tissue, something that is very hard to do in mammals. 

KANSAS CITY, Mo. – October 23, 2026  – Every egg cell and sperm cell depends on meiosis, a tightly choreographed process in which chromosomes find their partners, exchange genetic material, and then divide. When meiosis goes awry in humans, the consequences can include infertility, miscarriage, and birth defects. 

A new study from the Stowers Institute for Medical Research, published in Science Advances, shows that the molecular machinery guiding this process is more widely shared across animals than expected, and more flexible. The surprise was that familiar-looking parts were not always doing the same jobs, revealing an unexpected flexibility in how meiosis works across evolution.

“That was one of the broader insights from the paper,” said Stowers Investigator and Graduate School President Matt Gibson, Ph.D. “Proteins and protein complexes may look very much the same, but nevertheless function in different ways.” 

 The project was led by Stefanie “Steffi” Williams, Ph.D., a Stowers Graduate School alum who is currently a postdoctoral fellow at the European Molecular Biology Laboratory.  At the Institute, her work grew from a collaboration between Gibson's lab and the lab of the late R. Scott Hawley, Ph.D., a former Stowers Investigator and a pioneer in the field of meiosis. 

In this latest study, Williams found that the sea anemone assembles a ladder-like structure called the synaptonemal complex between paired chromosomes, much as humans do. This structure contains eight of the ten proteins known to make up the synaptonemal complex in humans. But when Williams tested what some of those proteins actually do, the similarities began to break down.

“Despite their essential function, many of the proteins that coordinate meiosis show signatures of rapid evolution, changing much faster than normal housekeeping genes do,” said Williams. “So, I was fascinated to find older research showing that cnidarian genomes encode proteins clearly similar to those in humans, and I had to know whether they truly function in the same way.” 

When Williams disabled three of these proteins, the results were unexpected. Mutations in two of them, sycp1 and syce2, caused female sterility. Males carrying the same mutations remained fertile, and loss of syce2 disrupted the stabilization of paired chromosomes only in females.  

“When I first sat at the microscope and saw that some components are not required to synapse chromosomes, I thought I must have made a mistake because it didn’t make any sense,” said Williams. “Finding out that the architectural functions of synaptonemal complex proteins must have changed was totally unexpected.” 

Until now, functional studies of these proteins in animals were largely limited to mice, fruit flies, and roundworms. Because Nematostella is transparent and its eight gonads can be observed directly in live animals, it offers researchers something those traditional models often cannot: the potential to watch meiosis unfold in living tissue. That could make it possible to ask questions about chromosome behavior that are difficult or impossible to address in mammals.

“This work establishes Nematostella as a good experimental system for understanding meiotic processes at a deeper level,” said Gibson. “The potential for live imaging could reveal new biology that’s difficult to observe in mammals, particularly at the cellular level.” 

As a member of the Stowers Graduate School, Williams first rotated in the Hawley Lab, studying meiosis in the fruit fly Drosophila.  Williams then rotated into the Gibson Lab and began to work with Nematostella, a sea anemone and a relative of corals and jellyfish that is the focus of Gibson’s research. 

“Scott inspired Steffi’s passion for meiosis,” said Gibson. “When she began working on sea anemones, she became interested in how it worked in these organisms where it hadn’t been explored before. This led to a collaboration between labs, and I felt lucky to benefit all along the way from Scott’s immense knowledge and Steffi’s excitement about the topic, which ultimately led to this new area of research.” 

“Scott taught me to follow my passion regardless of what others may think of it, as well as the importance of teaching and good mentorship,” said Williams. “To this day, Scott inspires me to become a better scientist and human being.” 

Additional authors include Jennifer Gardner, Ph.D., and Stephanie H. Nowotarski, Ph.D.

About the Stowers Institute for Medical Research

Founded in 1994 through the generosity of Jim Stowers, founder of American Century Investments, and his wife, Virginia, the Stowers Institute for Medical Research is a nonprofit biomedical research organization with a focus on foundational research. Its mission is to expand our understanding of the secrets of life and improve life’s quality through innovative approaches to the causes, treatment, and prevention of diseases. The Institute consists of more than 20 independent research programs. Of the approximately 500 members, over 370 are scientific staff that include principal investigators, fellows, technology center directors, postdoctoral scientists, graduate students, and technical support staff. Learn more about the Institute at www.stowers.org and about its graduate program at www.stowers.org/gradschool.

Saturday, October 24, 2026

 

Climate change stopped the next ice age



2000 years ago, remnants of a once-vast Arctic ice sheet began growing again, marking the start of a new glacial period—what we commonly call an ice age—But by the 1960s, global warming had raised summer temperatures enough to reverse that growth




Columbia Climate School





Two thousand years ago, the Arctic remnants of a once-vast ice sheet started to grow again. It was the beginning of a new glacial period, more conversationally known as the next ice age—but by the 1960s, summer temperatures were already so high that the ice sheet started to shrink. In other words, global warming ended a period of glaciation that had already begun.

"It was just getting started, everything was normal, the next glaciation was about to happen—and yet it stopped,” says Nicolás Young, a geochemist at the Lamont-Doherty Earth Observatory, part of the Columbia Climate School. “It’s a very powerful example of how we have jolted the system.”

In a new study published in the journal Science, Young, fellow Lamont geochemist Joerg Schaefer and their colleagues describe their research on the Laurentide Ice Sheet, and his colleagues describe their research on the Laurentide Ice Sheet, which covered much of Canada and the northern United States from about 95,000 to 20,000 years ago. At its largest, it stretched from above the Arctic Circle to Illinois, and in places the ice was over two miles thick.

The last vestige of the Laurentide still survives as the Barnes Ice Cap, now a Delaware-sized ice cap located on central Baffin Island in the Canadian territory of Nunavut. “People always say that it disappeared, but that’s not true,” says Young. And while it’s known that the Laurentide has repeatedly expanded and retreated across North America since widespread, continental-scale glaciation began about 2.6 million years ago, Young’s team wanted to know whether it had ever shrunk even smaller than it is now and then regrown. 

(A note on terminology: Techincally we are still living in an ice age–the Late Cenozoic Ice Age–which started about 34 million years ago. Within it, colder glacial periods alternate with warmer interglacial ones, including the one we live in now. What people casually call an “ice age” is usually a glacial period. The last glacial period ended about 11,700 years ago.)

Reconstructing glacial histories is always difficult, and especially so when trying to reconstruct moments of maximum contraction and initial re-expansion: Apart from the challenge of identifying the origin point, whatever geological clues are left on the landscape tend to be scoured away as glaciers regrow. The cradle of the Laurentide, however, is a special case.

The Barnes Ice Cap is frozen directly to its underlying bedrock. Unlike most glaciers it does not slide, and thus preserves the vegetation that grew at earlier times when the glacier was small and was subsequently entombed by its expansion. Vegetation exposed since the glacier started retreating in 1960 can be sampled, allowing scientists to determine its age by analyzing traces of carbon-14, a harmlessly radioactive form of atmospheric carbon that collects in organisms while they live and breaks down at predictable rates after they die.

"If you do this enough times, you can actually develop a timeline of that ice margin systematically advancing over plants. You're actually tracking the expansion of that ice margin,” says Young.

By combining analyses of vegetation preserved beneath the Barnes Ice Cap and smaller recently-melted ice caps in the region, the researchers pieced together a climate history. The Laurentide reached its minimum dimensions about 3,000 years ago, then started re-expanding about 2,000 years ago when the climate became cold enough for ice to accumulate.

The researchers argue that this inflection point should be considered the beginning of Earth’s next glacial period. This interpretation challenges prevailing ideas about when glacial periods begin. Previous model-based studies have suggested that the next glaciation would not begin for thousands or even tens of thousands of years. Young and his colleagues argue that the first renewed growth of an ice sheet should count as the beginning, rather than waiting until enormous continental ice sheets have formed.

The findings are also a coda for climate scientists who in the 1970s made the controversial claim that a new ice age was imminent. “It actually was happening,” Young says. “They couldn't quite prove it, but now we sort of have the evidence.” It would have taken thousands of years for the cooling to be noticeable, and about 30,000 years for the Laurentide to regain its continent-sprawling mass, but the next glaciation had started, says Young.

By the 1960s Earth’s climate had warmed enough that the Barnes Ice Cap lost more ice in the summer than it added in winter. The next glaciation fizzled out. According to models of the glacier’s future, it will melt completely within the next few centuries. “That will be the true very last remains of the Laurentide, disappearing for good,” Young says.

Its disappearance could change the dynamics of future glaciations and ice ages. The Laurentide served as a glacial nucleation point when Earth’s climate cooled, as its frigid mass created self-sustaining feedbacks that caused more ice to grow on it. Scientists can’t say when the next glaciation might occur in a world with elevated freenhouse gas concentrations. But if continental ice sheets eventually begin growing again, they may have to do so without the last surviving remnant of the Laurentide.

"What has been an extremely natural and predictable phenomenon is now gone,” says Young.