Thursday, August 28, 2025

QUANTUM

Penn engineers send quantum signals with standard internet protocol

New integrated chip shows how quantum networks could “speak” today’s internet language on existing commercial fiber-optic cables

University of Pennsylvania School of Engineering and Applied Science

Sending the Quantum Signal 

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Yichi Zhang, a doctoral student in Materials Science and Engineering, with the equipment used to generate and send the quantum signal over Verizon fiber optic cables. (Credit: Sylvia Zhang)

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Credit: Sylvia Zhang





In a first-of-its-kind experiment, engineers at the University of Pennsylvania brought quantum networking out of the lab and onto commercial fiber-optic cables using the same Internet Protocol (IP) that powers today’s web. Reported in Science, the work shows that fragile quantum signals can run on the same infrastructure that carries everyday online traffic. The team tested their approach on Verizon’s campus fiber-optic network.

The Penn team’s tiny “Q-chip” coordinates quantum and classical data and, crucially, speaks the same language as the modern web. That approach could pave the way for a future “quantum internet,” which scientists believe may one day be as transformative as the dawn of the online era.

Quantum signals rely on pairs of “entangled” particles, so closely linked that changing one instantly affects the other. Harnessing that property could allow quantum computers to link up and pool their processing power, enabling advances like faster, more energy-efficient AI or designing new drugs and materials beyond the reach of today’s supercomputers.

Penn’s work shows, for the first time on live commercial fiber, that a chip can not only send quantum signals but also automatically correct for noise, bundle quantum and classical data into standard internet-style packets, and route them using the same addressing system and management tools that connect everyday devices online.

“By showing an integrated chip can manage quantum signals on a live commercial network like Verizon’s, and do so using the same protocols that run the classical internet, we’ve taken a key step toward larger-scale experiments and a practical quantum internet,” says Liang Feng, Professor in Materials Science and Engineering (MSE) and in Electrical and Systems Engineering (ESE), and the Science paper’s senior author.

The Challenges of Scaling the Quantum Internet

Erwin Schrodinger, who coined the term “quantum entanglement,” famously related the concept to a cat hidden in a box. If the lid is closed, and the box also contains radioactive material, the cat could be alive or dead. One way to interpret the situation is that the cat is both alive and dead. Only opening the box confirms the cat’s state. 

That paradox is roughly analogous to the unique nature of quantum particles. Once measured, they lose their unusual properties, which makes scaling a quantum network extremely difficult. 

“Normal networks measure data to guide it towards the ultimate destination,” says Robert Broberg, a doctoral student in ESE and coauthor of the paper. “With purely quantum networks, you can’t do that, because measuring the particles destroys the quantum state.”

Coordinating Classical and Quantum Signals

To get around this obstacle, the team developed the “Q-Chip” (short for “Quantum-Classical Hybrid Internet by Photonics”) to coordinate “classical” signals, made of regular streams of light, and quantum particles. “The classical signal travels just ahead of the quantum signal,” says Yichi Zhang, a doctoral student in MSE and the paper’s first author. “That allows us to measure the classical signal for routing, while leaving the quantum signal intact.”

In essence, the new system works like a railway, pairing regular light locomotives with quantum cargo. “The classical ‘header’ acts like the train’s engine, while the quantum information rides behind in sealed containers,” says Zhang. “You can’t open the containers without destroying what’s inside, but the engine ensures the whole train gets where it needs to go.” 

Because the classical header can be measured, the entire system can follow the same “IP” or “Internet Protocol” that governs today’s internet traffic. “By embedding quantum information in the familiar IP framework, we showed that a quantum internet could literally speak the same language as the classical one,” says Zhang. “That compatibility is key to scaling using existing infrastructure.”

Adapting Quantum Technology to the Real World

One of the greatest challenges to transmitting quantum particles on commercial infrastructure is the variability of real-world transmission lines. Unlike laboratory environments, which can maintain ideal conditions, commercial networks frequently encounter changes in temperature, thanks to weather, as well as vibrations from human activities like construction and transportation, not to mention seismic activity.

To counteract this, the researchers developed an error-correction method that takes advantage of the fact that interference to the classical header will affect the quantum signal in a similar fashion. “Because we can measure the classical signal without damaging the quantum one,” says Feng, “we can infer what corrections need to be made to the quantum signal without ever measuring it, preserving the quantum state.” 

In testing, the system maintained transmission fidelities above 97%, showing that it could overcome the noise and instability that usually destroy quantum signals outside the lab. And because the chip is made of silicon and fabricated using established techniques, it could be mass produced, making the new approach easy to scale. 

“Our network has just one server and one node, connecting two buildings, with about a kilometer of fiber-optic cable installed by Verizon between them,” says Feng. “But all you need to do to expand the network is fabricate more chips and connect them to Philadelphia’s existing fiber-optic cables.” 

The Future of the Quantum Internet

The main barrier to scaling quantum networks beyond a metro area is that quantum signals cannot yet be amplified without destroying their entanglement. 

While some teams have shown that “quantum keys,” special codes for ultra-secure communication, can travel long distances over ordinary fiber, those systems use weak coherent light to generate random numbers that cannot be copied, a technique that is highly effective for security applications but not sufficient to link actual quantum processors.

Overcoming this challenge will require new devices, but the Penn study provides an important early step: showing how a chip can run quantum signals over existing commercial fiber using internet-style packet routing, dynamic switching and on-chip error mitigation that work with the same protocols that manage today’s networks.

“This feels like the early days of the classical internet in the 1990s, when universities first connected their networks,” says Broberg. “That opened the door to transformations no one could have predicted. A quantum internet has the same potential.”

This study was conducted at the University of Pennsylvania School of Engineering and Applied Science and was supported by the Gordon and Betty Moore Foundation (GBMF12960 and DOI 10.37807), Office of Naval Research (N00014-23-1-2882), National Science Foundation (DMR-2323468), Olga and Alberico Pompa endowed professorship, and PSC-CUNY award (ENHC-54-93).

Additional co-authors include Alan Zhu, Gushi Li and Jonathan Smith of the University of Pennsylvania, and Li Ge of the City University of New York.

 

Exploring the promise of human iPSC-heart cells in understanding fentanyl abuse




Stanford Cardiovascular Institute
Fentanyl Abuse Impairs Function of iPSC-CMs 

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Representative figure of the study and its main findings published in the journal Circulation [https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.123.068560.] 

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Credit: GEMA MONDEJAR PARREÑO/Stanford Cardiovascular Institute

          




 In recent years, fentanyl, a synthetic opioid that is 50 to 100 times stronger than morphine, has been a main contributor to the opioid crisis. One of the worst adverse effects of fentanyl abuse is opioid-induced cardiac arrest.  Although it is well known that opioid abuse can induce arrhythmias; the effects of fentanyl abuse on heart rhythms have not yet been thoroughly investigated.

            In a recent study published in Circulation, first-author Gema Mondéjar-Parreño, PhD and senior author Joseph C. Wu, MD, PhD, director of Stanford Cardiovascular Institute, found that human induced pluripotent stem cells provide an unparalleled opportunity to study patient-specific response to opioid abuse. The investigators studied the consequences of fentanyl abuse, specifically those relating to the electrical activity of the heart that determine how the heart controls its rhythm and pumping. The scientists analyzed 19 toxicology studies between 1994 and 2022 in which the mean estimate of fentanyl concentration was three times higher than patients with chronic pain. Using the data, the investigators exposed human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) to doses of fentanyl that mimicked circumstances of overdose. They found that this caused changes in calcium signaling homeostasis in heart muscle cells and slowed down preparation for the next heartbeat that contributed to beating irregularities. Additionally, since arrhythmias are often more evident when the heart rate increases, the researchers found the combination of fentanyl and isoproterenol, a stimulant used to increase heart rate, can worsen fentanyl-induced arrhythmias.

            This study offers groundbreaking evidence that fentanyl abuse can impair the function of cardiac cells, leading to rhythm defects. Together with respiratory depression, fentanyl-induced effects on electrophysiology significantly contribute to cardiac arrest. Further studies will help us better understand fentanyl abuse and its relationship to arrhythmias.

Additional authors include Shane Rui Zhao, Xu Cao, Yu Liu, Johnson Y. Yang, James Jahng, David Wu, and Nazish Sayed from the Stanford Cardiovascular Institute; José Jalife from Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; and Jeremy Leitz from Greenstone Biosciences.

This project was supported by Leducq Foundation Grant 18CVD05, Gootter-Jensen Foundation, and National Institutes of Health (NIH) R01 HL130020, R01 HL145676, R01 HL146690, R01 HL163680, and R01 HL176822 (JCW); R01 HL158641 and R01 HL161002 (NS); R01 HL163943 and PI20/01220 Instituto de Salud Carlos III (JJ); and American Heart Association Postdoctoral Award #872244 (GMP).

 

Placebo pain relief works differently across human body, study finds




University of Sydney



  • New research finds the human brain has a built-in pain map that activates in different areas when relieving face, arm or leg pain.

  • But placebo pain relief only works where the brain expects it.

  • Further research may help to unlock safer, targeted pain treatments.

 

Researchers from the University of Sydney have used placebo pain relief to uncover a map-like system in the brainstem that controls pain differently depending on where it’s felt in the body. The findings may pave the way for safer, more targeted treatments for chronic pain that don’t rely on opioids. 

Like a highway, the brainstem connects the brain to the spinal cord and manages all signals going to and from the brain. It produces and releases nearly all the neurochemicals needed for thinking, survival and sensing. 

Published in Science, the study used 7-Tesla functional magnetic resonance imaging (fMRI) – one of the most powerful brain scanners available, with only two in Australia – to pinpoint how two key brainstem regions manage pain through placebo effects. 

Dr Lewis Crawford, lead author and research fellow at the School of Medical Sciences and the Brain and Mind Centre, said: “This is the first time we’ve seen such a precise and detailed pain map in the human brainstem, showing us that it tailors pain relief to the specific part of the body that’s experiencing it.” 

The study builds on decades of work by one of the authors, Professor Kevin Keay, Deputy Head of the School of Medical Sciences and a mentor to Dr Crawford.

How placebo pain relief works

Researchers exposed 93 healthy participants to heat pain on different body parts and applied a placebo pain relief cream while secretly lowering the temperature, conditioning them to believe the cream was alleviating their pain. 

The temperature used was individually adjusted to be moderately painful as perceived by each participant. Researchers used a self-report scale, where 0 was no pain and 100 was the worst pain imaginable, and sought a temperature between 40-50 for each participant. 

Later, the same pain stimulus was applied to the placebo-treated area as well as a separate untreated area for comparison. Up to 61 percent of participants still reported less pain in the area where the placebo cream was originally applied, typical of a true placebo response.

“We found that upper parts of the brainstem were more active when relieving facial pain, while lower regions were engaged for arm or leg pain,” said Dr Crawford.

Two key brainstem regions are involved in this process: the periaqueductal grey (PAG) and the rostral ventromedial medulla (RVM). These areas showed distinct patterns of activity depending on where pain relief was directed, with the upper parts of the PAG and RVM more active for facial pain, while lower parts were more active for arm or leg pain.

“The brain’s natural pain relief system is more nuanced than we thought,” said Dr Crawford. “Essentially, it has a built-in system to control pain in specific areas. It’s not just turning pain off everywhere; but working in a highly coordinated, anatomically precise system.”     

A new way to target pain relief 

Understanding which brainstem areas are linked to different parts of the body may open new avenues for developing non-invasive therapies that reduce pain without widespread side effects.  

“We now have a blueprint for how the brain controls pain in a spatially organised way,” said Professor Luke Henderson, senior author and Professor in the School of Medical Sciences and the Brain and Mind Centre. “This could help us design more effective and personalised treatments, especially for people with chronic pain in a specific area of their body.”

The study also challenges long-held assumptions about how placebo pain relief works. Instead of relying on the brain’s opioid system, experts say a different part of the brainstem – the lateral PAG – is not only responsible but works without using opioids and could instead be linked to cannabinoid activity. 

“Opioid-based pain relief typically activates central areas of the brain and can affect the whole body, whereas the cannabinoid circuit that we identified appears to operate in more targeted regions of the brainstem,” said Dr Crawford. “This supports the idea that cannabinoids may play a role in localised, non-opioid pain control.”

“Knowing exactly where pain relief is happening in the brain means we can target that area or assess whether a drug is working in the right place,” said Dr Crawford. “This could lead to more precise treatments for chronic pain that don’t rely on opioids and work exactly where the brain expects pain relief to occur – a huge step forward for pain management.” 

 

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Cornell research tests solar panel crop growth in New York



Cornell University

 


 

ITHACA, N.Y. - A series of studies by Cornell researchers is testing how crops might grow when planted between rows of solar panels on a solar farm in New York state.

 

By acquiring real data, researchers may be able to provide farmers and policymakers with important information, as growing crops between rows of solar panels to maximize dual land use will be increasingly critical, especially since New York’s utility-scale solar farms cover roughly 9,300 acres of land.

 

In the first of a series of studies, Cornell researchers tested a 2024 fall crop of radishes and radicchio grown between rows of solar panels. This year, the team of researchers is continuing experiments by planting strawberries, raspberries, winter wheat, soybeans, zucchini, peppers, chard and dry beans, starting in the spring, with promising early results.

 

“New York has an extremely strong agricultural legacy, and solar development on repurposed agricultural crop lands is going to have to meet farmers where they’re at,” said Matt Sturchio, a postdoctoral associate. “We need to be able to find solutions that either co-locate or find the most efficient land use synergies for solar development, so that’s why we’re doing this work.”

 

While crops are being grown successfully on solar farms in the Southwest and Midwest, New York is challenged by a short growing season and limited sunlight, and shade from solar panels.

 

In the current study, radishes, a root crop, and radicchio, a leafy crop, were planted within the roughly 20 feet of space that lies between rows of solar panels on a solar farm near Albany. The researchers found reductions in sunlight created by early morning and late afternoon shade stunted the fall crops, especially the radishes.

 

Not only was sunlight reduced in the test crops, but so was leaf temperature, which together led to lower carbon accumulation, or biomass. The change in biomass was especially pronounced in the radishes, due to a drop in below-ground production, as the plants allocated more resource to leaves that collect sunlight and exchange gases, Sturchio said.

 

“If growth is delayed somewhat in fall crops in the solar panels, that might mean that maybe we want to plant a little earlier, and plan to harvest later, which might not be bad, because it will space out the harvesting,” said Toni DiTommaso, professor in the School of Integrative Plant Science, and co-author of the study.

 

“We’re trying to grow a slew of these crops to see which ones have potential, so that we can provide data, science-based information to policymakers and to farmers who may be thinking of getting involved,” DiTommaso said.

 

In Europe, solar farm operators are starting to orient panels, so they are parallel with the sun’s rays, instead of perpendicular. “Instead of catching all of the sun’s rays, they allow light to pass through, so they’re creating minimal shade,” Sturchio said. Increasing sunlight, even for an extra hour a day, could change the biomass loss that the study found, he said.

 

The work was funded by the New York State Department of Agriculture and Markets as part of the Cornell Center for Agrivoltaics.

 

For additional information, read this Cornell Chronicle story.

 

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Do increased taxes incentivize the rich to move?



University of Chicago Press Journals



In response to increased tax rates, high-income earners often threaten to leave the location of their tax base. But do they actually follow through? A new article in the American Journal of Sociology, “Taxing the Rich: How Incentives and Embeddedness Shape Millionaire Tax Flight,” examines how increased tax rates incentivize top earners to relocate, and how the forces of embeddedness within their communities encourage them to stay.

Two recent events, write article authors Cristobal Young and Ithai Lurie, have reshaped the tax migration landscape, and therefore provide insight into the phenomenon of top earner flight: the 2017 federal tax reform known as the “Tax Cuts and Jobs Act” (TCJA), and the COVID-19 pandemic. The first, write Young and Lurie, incentivized migration by exposing more income to state taxation, while the second did by disrupting social ties. To observe the effects of these two upheavals, the article studies IRS data on all top income earners in the United States between 2016 and 2023.

Young and Lurie’s research finds that while the TCJA overhaul did not lead to a significant increase in tax migration, the COVID-19 pandemic did – though its effects were temporary. This pattern, the authors write, suggests that high earners who left states like New York and California during the period of their analysis were motivated more by a decrease in embeddedness than simply by a desire for a lower state tax. This finding supports a theory of embeddedness in which social ties act as constraints on economically motivated decisions; for high earners, the social capital that derives from a network of personal connections can often be an enticement to stay put even in a state with high taxes.

Ultimately, the authors write, these results indicate that many factors make a state a “competitive” place to live and do business, not just lower taxes. Infrastructure and public services can also assist in the retention of talent, Young and Lurie conclude, and “competitiveness is not just about reducing costs; it also involves building opportunity and quality of life.”