Friday, July 22, 2022

Why workers are turning to unions

Besides fighting for better wages and working conditions, unions confront favoritism and discrimination when no one else will.


SOURCENationofChange
Image Credit: Seth Perlman/AP

Amy Dennett long endured understaffing, low pay and indifferent bosses in her job at the American Red Cross in Asheville, North Carolina.

But she decided she’d had enough when management’s failure to provide basic resources forced her and her coworkers to build, jury-rig and dig into their own pockets for items needed to operate the blood donation center.

Dennett helped lead a union drive in 2020, resulting in the group’s vote to join the United Steelworkers (USW), and the 24 workers gained raises, greatly improved health care and much-needed equipment even before signing their first contract.

More and more workers like Dennett are realizing that unions fight for them every day, providing a path forward even in tumultuous times like a pandemic.

Gallup surveyed Americans on their confidence in 16 U.S. institutions ranging from the Supreme Court to television news. Over the past year, Gallup found, Americans’ confidence fell in all of them except one—organized labor.

“That doesn’t surprise me. We’re supposed to have faith in our elected officials and other leaders. But it’s a lot easier for a worker to have faith in the guy standing next to them than a guy in some other place you’ve never met who’s supposed to represent you,” Dennett said of the findings, noting that unions helped workers during the pandemic while many of the 16 institutions failed or exploited them.

With the help of a lone Democrat, for example, the Republicans in Congress killed legislation that would have expanded struggling families’ access to education, health care and child care.

Some banks socked borrowers with illegal late fees and charges despite their enrollment in a pandemic program temporarily pausing mortgage payments, compounding the homeowners’ hardships.

Corporations jacked up prices on food and other essentials, raking in ever-higher profits on the backs of working Americans. And tech companies like Amazon and Apple tried to beat back workers’ fights for better wages and working conditions.

In stark contrast to all of this, unions stepped up during the pandemic because their members needed them more than ever. They not only empowered workers to secure the personal protective equipment, paid sick leave and affordable health care they needed to safeguard their families but also continued winning the raises and benefits essential for years to come.

Those successes drove Americans’ support for unions to record levels and unleashed a wave of organizing drives among workers who put their lives on the line to keep companies operating during the pandemic.

“These workers have figured out, ‘Hey, I’m essential. I deserve to make enough to pay my bills,’” Dennett said, noting the USW “absolutely changed the dynamic” in her workplace.

Once “blatantly ignored,” she said, workers now have a seat at the table. And no longer do Dennett and her coworkers have to build their own organizers for tape and Band-Aids or scrounge parts for items like television assemblies.

“We ended up with the equipment that we need,” explained Dennett, a collection specialist, noting her coworkers now have quality computer carts like the one she had to buy for herself a couple of years ago.

The USW also represents Red Cross workers in Alabama and Georgia. When a cost-of-living analysis revealed the urgent need for raises in some of those locations, Dennett and her underpaid colleagues also received pay bumps, even before completing their first contract.

Workers’ demand for union representation cuts across all economic sectors, from manufacturing and retail to emerging clean industries and professional sports.

Players in the new United States Football League (USFL) recently voted to join the USW to ensure adequate housing, meals and health care, among other essentials, and to guard against the kinds of nightmares that followed the collapse of the Alliance of American Football in 2019.

That league folded overnight, stranding players in the cities where they were playing.

“There was no transportation home,” explained Kenneth Farrow, president of the United Football Players Association, which advocates for USFL players.

Farrow said the Alliance players got kicked out of their hotels, had to fund their own flights and rental cars and got stuck with ongoing medical expenses for game-related injuries. “There have been quite a few ugly situations,” he said, explaining why the USFL players wanted a union.

Besides fighting for better wages and working conditions, unions confront favoritism and discrimination when no one else will.

With the support of other unions, USW Local 7600 took a stand last year on behalf of thousands of members working at Kaiser Permanente health care facilities in the Inland Empire area of Southern California.

The union challenged Kaiser’s practice of paying those workers, many of them people of color, significantly lower wages than their counterparts performing the same jobs at the health care giant’s locations elsewhere. Some of the Inland Empire workers made 30 percent less than peers in Los Angeles and Orange County.

Kaiser tried to blame the pay gaps on a higher cost of living in Los Angeles, an excuse that fell flat with the USW members.

“I’m from LA. It’s not that much higher,” said LaTrice Benson, an anesthesia technician affected by the disparities.

In the end, Kaiser agreed to commit millions to closing wage gaps for the USW members as well as workers represented by other unions.

“It means the world to me and my colleagues,” Benson said. “We’re sincerely thankful for our union.”

Dennett sees the growing appreciation for organized labor even among the blood donors she works with every day. When she tells them she joined a union, she often gets the same response: “Congratulations.”

This article was produced by the Independent Media Institute.

Robots learn household tasks by watching humans

Novel method developed by CMU researchers allows robots to learn in the wild

Reports and Proceedings

CARNEGIE MELLON UNIVERSITY

WHIRL 

IMAGE: WITH WHIRL, A ROBOT LEARNED HOW TO DO MORE THAN 20 TASKS — FROM OPENING AND CLOSING APPLIANCES, CABINET DOORS AND DRAWERS TO PUTTING A LID ON A POT, PUSHING IN A CHAIR AND EVEN TAKING A GARBAGE BAG OUT OF THE BIN view more 

CREDIT: CARNEGIE MELLON UNIVERSITY

The robot watched as Shikhar Bahl opened the refrigerator door. It recorded his movements, the swing of the door, the location of the fridge and more, analyzing this data and readying itself to mimic what Bahl had done.

It failed at first, missing the handle completely at times, grabbing it in the wrong spot or pulling it incorrectly. But after a few hours of practice, the robot succeeded and opened the door.

"Imitation is a great way to learn," said Bahl, a Ph.D. student at the Robotics Institute (RI) in Carnegie Mellon University's School of Computer Science. "Having robots actually learn from directly watching humans remains an unsolved problem in the field, but this work takes a significant step in enabling that ability."

Bahl worked with Deepak Pathak and Abhinav Gupta, both faculty members in the RI, to develop a new learning method for robots called WHIRL, short for In-the-Wild Human Imitating Robot Learning. WHIRL is an efficient algorithm for one-shot visual imitation. It can learn directly from human-interaction videos and generalize that information to new tasks, making robots well-suited to learning household chores. People constantly perform various tasks in their homes. With WHIRL, a robot can observe those tasks and gather the video data it needs to eventually determine how to complete the job itself.

The team added a camera and their software to an off-the-shelf robot, and it learned how to do more than 20 tasks — from opening and closing appliances, cabinet doors and drawers to putting a lid on a pot, pushing in a chair and even taking a garbage bag out of the bin. Each time, the robot watched a human complete the task once and then went about practicing and learning to accomplish the task on its own. The team presented their research this month at the Robotics: Science and Systems conference in New York.

"This work presents a way to bring robots into the home," said Pathak, an assistant professor in the RI and a member of the team. "Instead of waiting for robots to be programmed or trained to successfully complete different tasks before deploying them into people's homes, this technology allows us to deploy the robots and have them learn how to complete tasks, all the while adapting to their environments and improving solely by watching."

Current methods for teaching a robot a task typically rely on imitation or reinforcement learning. In imitation learning, humans manually operate a robot to teach it how to complete a task. This process must be done several times for a single task before the robot learns. In reinforcement learning, the robot is typically trained on millions of examples in simulation and then asked to adapt that training to the real world.

Both learning models work well when teaching a robot a single task in a structured environment, but they are difficult to scale and deploy. WHIRL can learn from any video of a human doing a task. It is easily scalable, not confined to one specific task and can operate in realistic home environments. The team is even working on a version of WHIRL trained by watching videos of human interaction from YouTube and Flickr.

Progress in computer vision made the work possible. Using models trained on internet data, computers can now understand and model movement in 3D. The team used these models to understand human movement, facilitating training WHIRL. 

With WHIRL, a robot can accomplish tasks in their natural environments. The appliances, doors, drawers, lids, chairs and garbage bag were not modified or manipulated to suit the robot. The robot's first several attempts at a task ended in failure, but once it had a few successes, it quickly latched on to how to accomplish it and mastered it. While the robot may not accomplish the task with the same movements as a human, that's not the goal. Humans and robots have different parts, and they move differently. What matters is that the end result is the same. The door is opened. The switch is turned off. The faucet is turned on.

"To scale robotics in the wild, the data must be reliable and stable, and the robots should become better in their environment by practicing on their own," Pathak said.

Scientists discover world’s longest underwater avalanche after rescue of lost data

It was discovered using sensors to monitor one of the world’s largest underwater valleys, the Congo Canyon in the Atlantic Ocean, but the sensors were swept from their anchors by the incident

Peer-Reviewed Publication

UK RESEARCH AND INNOVATION

Prompt action by scientists recovered sensors drifting across the Atlantic Ocean that held data on a seabed sediment avalanche that travelled for 1,100 km to ocean depths of 4,500 km.

A study published today in Nature Communications shows that the data was recovered after anchors mooring these sensors to the seabed had been broken by these huge underwater flows.

The recovered data will help predict: hazards to seabed telecommunications cables, improving reliability and reducing future breakages; how future climate or land-use changes may impact the deep-sea. Scientists worked with the Natural Environment Research Council (NERC) and National Oceanography Centre (NOC) to recover the data. Funding for the research was provided by NERC.

Rescue at sea

Key research data on underwater avalanches of sediment (known as turbidity currents) were lost at sea when a colossal deep-sea avalanche surged through the Congo Canyon in January 2020. The deep underwater valley leads away from the mouth of the Congo River, off Africa’s west coast.

Five months earlier researchers had lined the length of the Congo Canyon with sensors designed to measure the velocity and behaviour of deep-sea turbidity currents.

Eleven of these sensors broke free from their moorings between 14-16 January 2020, dislodged by an avalanche of sediment travelling at up to 8 metres a second. The sensors are contained in orange floats scarcely larger than a football, and these floats and their sensors then drifted across the surface of the Atlantic Ocean, carrying their unique data with them.

Peter Talling, Professor in Submarine Geohazards at Durham University and the study’s lead investigator, said:

“The odds of retrieving football-sized sensors were tiny, as they drifted in different directions, dragged by currents across hundreds of kilometres of ocean. Rescuing those buoys seemed entirely improbable.

“But, thanks to swift and flexible action by NERC, the National Marine Facilities at the National Oceanography Centre, French colleagues at IFREMER and senior colleagues in Hull and Durham Universities, together with several passing vessels, we achieved one of the most remarkable bits of field science in the ocean I’m ever likely to see.”

A race against time

Each sensor was fitted with a beacon that transmitted its position, but as the beacon’s battery only lasted for about three months, the rescue timescale was very tight. Any normal rescue procedure was ruled out due to COVID-19 pandemic travel restrictions in spring 2020.

However, a private vessel travelling off the West African coast found one buoy and the captain agreed to help collect others.

The project team, and staff from NERC and the National Marine Facilities division at NOC acted quickly to assess the vessel’s suitability and arrange this emergency charter. In about 48 hours, NERC had assessed and approved the rescue attempt.

Over the next few weeks, researchers successfully chartered a variety of additional boats including a cable-laying vessel, a cargo ship and a ship servicing oil and gas rigs.

Fibre optic telecommunication cables operator Angola Cables also proved instrumental in securing necessary permits for the vessels to operate in Angolan waters through the project.

In total, nine of the 11 sensors and their data were recovered.

Natalie Powney, NERC’s Head of Marine Planning, said:

“Making this project possible required a huge team effort from everyone, including staff from NERC and the National Marine Facilities team at the National Oceanography Centre. Within just 48 hours, NERC had assessed and approved the rescue attempt.

“Funding was provided through our Discovery Science Portfolio, which encourages curiosity-driven, adventurous science. The research is hugely significant and identified a link between major river floods, spring tides and powerful turbidity currents."

New understanding of turbidity currents

Prior to this study, directly measuring powerful deep-sea avalanches was considered impractical. But the rescued data provided direct monitoring of sediment flow in the Congo Canyon, enabling scientists to assess for the first time how major river floods connect to the deep-sea.

The study reveals:

  • The turbidity current of 14 January 2020 travelled more than 1,100 km from the Congo River estuary to deep-sea, making it the longest avalanche of sediment ever measured on Earth. In two days, the flow reached an ocean depth of more than 4,500 m.
  • The seafloor turbidity current resulted from two factors: severe flooding along the Congo River in late December 2019 followed by unusually large spring tides. In combination these factors triggered an avalanche of sand and mud equivalent in volume to one third of the sediment produced annually from all rivers worldwide.
  • The avalanche of sediment accelerated, increasing in speed from 5.2 metres per second in the upper reaches of the Congo Canyon to 8 metres per second as it reached the end of the channel, some 1,100 km from the coastline.

Preventing seabed cable breakages

The Congo Canyon turbidity current broke not only the sensor moorings but also two seabed  telecommunications cables, cutting internet data speeds across west, central and south Africa.

National Oceanography Centre (NOC) researcher Dr Mike Clare, who is a co-investigator on the project, said:

“These remarkable data provide the first direct measurements of such a large and powerful flow. We now have a new understanding of how these events are triggered, and also the hazards they pose to seafloor infrastructure networks, such as the cables that underpin global communications.”

Seafloor fibre-optic cable networks carry around 99% of global data traffic, but can be damaged or broken by underwater avalanches. Breakages cause massive disruption to the global economy and day-to-day lives.

The study shows that the pattern of seabed erosion from this 2020 turbidity current was surprisingly localised and patchy, especially given how big the flow was. Scientists believe this may explain why it broke some submarine telecommunication cables, but others survived. This information could help cable companies in future to position cables so that they have the best chance of surviving these events.

Deep-sea impacts of climate and land-use changes

The research identified for the first time a link between major river floods, spring tides and powerful turbidity currents.  Increased river flooding in future due to changes in climate or land-use could result in more frequent underwater avalanches and an increase in the volumes of sediment entering the deep-sea.

Scientists further believe that floods and tides may trigger turbidity currents in an even wider range of settings than previously thought.

Ends

Further information

Media enquiries:

Sophie Docker, Senior Media and Communications Manager: 07586 040402 or sophie.docker@ukri.org

Paper details:

Longest sediment flows yet measured show how major rivers connect efficiently to deep sea | Nature Communications

Full citation is 

Talling, P.J., Baker, M.L., Pope, E.L. et al. Longest sediment flows yet measured show how major rivers connect efficiently to deep sea. Nat Commun 13, 4193 (2022). https://doi.org/10.1038/s41467-022-31689-3

Contributors to this study include the Universities of Durham, Hull, Leeds, Newcastle and Southampton. Also, Angola Cables SA, the National Oceanography Centre, the Institut Francais de Recherche pour l’Exploitation de la Mer (IFREMER) in France and the GEOMAR Helmholtz Centre for Ocean Research in Germany. Other contributors include the University of Calgary; the Institute of Hydraulic Engineering and Water Resources Management, Austria; CRREBaC (Congo Basin Water Resources Research Centre); the Subsea Centre of Excellent Technology, BT; O&M Submarine Engineering, Vodaphone Group; Ambios; and the Department of Earth Sciences, University of Oxford.

About UK Research and Innovation 

UK Research and Innovation (UKRI) is the UK’s largest public funder of research and innovation and is composed of seven disciplinary research councils, Innovate UK and Research England. Annually, we invest more than £8 billion to advance our understanding of people and the world around us and deliver benefits for society, the economy and the environment. Working in partnership, we aim to shape a more connected and agile research and innovation system in the UK that is an integral part of society, giving everyone the opportunity to participate and to benefit. Find out more in our new 5-year strategy, Transforming Tomorrow Together

 

Could modified train cars capture carbon from the air? This team has a plan to make it happen

Peer-Reviewed Publication

CELL PRESS

Train car for direct air capture 

IMAGE: TRAIN CAR FOR DIRECT AIR CAPTURE view more 

CREDIT: JOULE/BACHMAN ET AL.

Direct air capture technology removes carbon dioxide from the air and compresses it for sequestration or utilization and promises to help us meet net-zero emissions goals. However, the process of direct air capture can be energy and land intensive and expensive. To design a direct air capture process that uses less energy and less land, a multi-disciplinary team outlines a plan to retrofit train cars to remove carbon from the air at a much lower than average cost per tonne in an article published in a peer-reviewed article in the journal Joule on July 20.
 
Stationary direct air capture facilities require large areas of land to house their equipment and construct the renewable energy sources required to support them. Obtaining the proper permits to operate can be difficult, and many residents are opposed to the construction of these large facilities in their towns and cities. “It’s a huge problem because most everybody wants to fix the climate crisis, but nobody wants to do it in their backyard,” says co-author Geoffrey Ozin, a carbon dioxide utilization chemist and chemical engineer and director of the solar fuels group at the University of Toronto. “Rail-based direct air capture cars would not require zoning or building permits and would be transient and generally unseen by the public.”

These purpose-built train cars use large vents to intake air, which would eliminate the need for the energy-intensive fan systems that stationary direct air capture systems use. After a sufficient amount of carbon dioxide has been captured, the chamber is closed, and the harvested carbon dioxide is collected, concentrated, and stored in a liquid reservoir until it can be emptied from the train at crew-change or fueling stops for direct transportation into the circular carbon economy or to nearby geological sequestration sites. The carbon-dioxide-free air then travels out the back or underside of the car and returns into the atmosphere.

When a train pumps the brakes, its energy braking system converts forward momentum into electrical energy. As the braking system is applied, the energy is dissipated in the form of heat and discharged out of the top of the train. “That is wasted energy,” says lead author E. Bachman, founder of CO2Rail. “Every complete braking maneuver generates enough energy to power 20 average homes for a day, so we're not talking about a trivial amount of energy.” This energy, the authors suggest, should be used to help mitigate climate change.

The authors argue that direct air capture becomes an even more viable climate solution because the rail system is already in place. “The infrastructure exists,” says Ozin. “That's the bottom line. All you need to do is take advantage of what is already available.”

The researchers say that an average freight train with these direct air capture cars could remove up to 6,000 tonnes of carbon dioxide per year. Because its sustainable-energy needs are being supplied by on-board sources, the price per tonne is significantly lower than that of other direct air capture systems. “The projected cost at scale is less than $50 per tonne, which makes the technology not only commercially feasible but commercially attractive,” Bachman says.

The authors hope this technology could have a positive impact beyond the carbon it removes from the atmosphere. “We could get a positive-feedback loop where the encouragement of rail to broadly deploy these direct air capture rail cars could even further decrease carbon emissions because rail is about five or six times more efficient than trucks,” says Bachman. “By increasing rail utilization, you increase the efficiency of the entire transportation system.”

###

Joule, Bachman et al. “Rail-Based Direct Air Carbon Capture” https://www.cell.com/joule/fulltext/S2542-4351(22)00299-9

Joule (@Joule_CP), published monthly by Cell Press, is a new home for outstanding and insightful research, analysis, and ideas addressing the need for more sustainable energy. A sister journal to CellJoule spans all scales of energy research, from fundamental laboratory research into energy conversion and storage to impactful analysis at the global level. Visit http://www.cell.com/joule. To receive Cell Press media alerts, contact press@cell.com.

All-in-one solar-powered tower makes carbon-neutral jet fuel

Peer-Reviewed Publication

CELL PRESS

Solar tower fuel plant during operation 

IMAGE: SOLAR TOWER FUEL PLANT DURING OPERATION view more 

CREDIT: IMDEA ENERGY

Researchers have designed a fuel production system that uses water, carbon dioxide (CO2), and sunlight to produce aviation fuel. They have implemented the system in the field, and the design, publishing July 20 in the journal Joule, could help the aviation industry become carbon neutral.

“We are the first to demonstrate the entire thermochemical process chain from water and CO2 to kerosene in a fully-integrated solar tower system,” says Aldo Steinfeld (@solarfuels), a professor from ETH Zurich and the corresponding author of the paper. Previous attempts to produce aviation fuels through the use of solar energy have mostly been performed in the laboratory.

The aviation sector is responsible for about 5% of global anthropogenic emissions causing climate change. It relies heavily on kerosene, or jet fuel, which is a liquid hydrocarbon fuel typically derived from crude oil. Currently, no clean alternative is available to power long-haul commercial flights at the global scale.

“With our solar technology, we have shown that we can produce synthetic kerosene from water and CO2 instead of deriving it from fossil fuels. The amount of CO2 emitted during kerosene combustion in a jet engine equals that consumed during its production in the solar plant,” Steinfeld says. “That makes the fuel carbon neutral, especially if we use CO2 captured directly from the air as an ingredient, hopefully in the not-too-distant future.”

As a part of the European Union’s SUN-to-LIQUID project, Steinfeld and his colleagues have developed a system that uses solar energy to produce drop-in fuels, which are synthetic alternatives to fossil-derived fuels such as kerosene and diesel. The solar-made kerosene is fully compatible with the existing aviation infrastructure for fuel storage, distribution, and end use in jet engines, Steinfeld says. It can also be blended with fossil-derived kerosene, he adds.

In 2017, the team started scaling up the design and built a solar fuel-production plant at IMDEA Energy Institute in Spain. The plant consists of 169 sun-tracking reflective panels that redirect and concentrate solar radiation into a solar reactor mounted on top of a tower. The concentrated solar energy then drives oxidation-reduction (redox) reaction cycles in the solar reactor, which contains a porous structure made of ceria. The ceria –which is not consumed but can be used over and over –converts water and CO2 injected into the reactor into syngas, a tailored mixture of hydrogen and carbon monoxide. Subsequently, syngas is sent into a gas-to-liquid converter, where it is finally processed into liquid hydrocarbon fuels that include kerosene and diesel.

“This solar tower fuel plant was operated with a setup relevant to industrial implementation, setting a technological milestone towards the production of sustainable aviation fuels,” Steinfeld says.

During a nine-day run of the plant reported in the paper, the solar reactor’s energy efficiency—the portion of solar energy input that is converted into the energy content of the syngas produced—was around 4%. Steinfeld says his team is working intensively on improving the design to increase the efficiency to values over 15%. For example, they are exploring ways to optimize the ceria structure for absorbing solar radiation and developing methods to recover the heat released during the redox cycles. 

CAPTION

Schematic of the solar tower fuel plant

CREDIT

ETH Zurich

This work is supported by Swiss State Secretariat for Education, Research and Innovation, and the EU Horizon 2020 research and innovation program.

Joule, Zoller et al. “A solar tower fuel plant for the thermochemical production of kerosene from H2O and CO2” https://www.cell.com/joule/fulltext/S2542-4351(22)00286-0

Joule (@Joule_CP), published monthly by Cell Press, is a new home for outstanding and insightful research, analysis, and ideas addressing the need for more sustainable energy. A sister journal to CellJoule spans all scales of energy research, from fundamental laboratory research into energy conversion and storage to impactful analysis at the global level. Visit http://www.cell.com/joule. To receive Cell Press media alerts, contact press@cell.com.

OUR QUANTUM REALITY CHANGED

Strange new phase of matter created in quantum computer acts like it has two time dimensions

By subjecting a quantum computer’s qubits to quasi-rhythmic laser pulses based on the Fibonacci sequence, physicists demonstrated a way of storing quantum information that is less prone to errors

Peer-Reviewed Publication

SIMONS FOUNDATION

Quantum Computer 

IMAGE: IN THIS QUANTUM COMPUTER, PHYSICISTS CREATED A NEVER-BEFORE-SEEN PHASE OF MATTER THAT ACTS AS IF TIME HAS TWO DIMENSIONS. THE PHASE COULD HELP PROTECT QUANTUM INFORMATION FROM DESTRUCTION FOR FAR LONGER THAN CURRENT METHODS. view more 

CREDIT: QUANTINUUM

By shining a laser pulse sequence inspired by the Fibonacci numbers at atoms inside a quantum computer, physicists have created a remarkable, never-before-seen phase of matter. The phase has the benefits of two time dimensions despite there still being only one singular flow of time, the physicists report July 20 in Nature.

This mind-bending property offers a sought-after benefit: Information stored in the phase is far more protected against errors than with alternative setups currently used in quantum computers. As a result, the information can exist without getting garbled for much longer, an important milestone for making quantum computing viable, says study lead author Philipp Dumitrescu.

The approach’s use of an “extra” time dimension “is a completely different way of thinking about phases of matter,” says Dumitrescu, who worked on the project as a research fellow at the Flatiron Institute’s Center for Computational Quantum Physics in New York City. “I’ve been working on these theory ideas for over five years, and seeing them come actually to be realized in experiments is exciting.”

Dumitrescu spearheaded the study’s theoretical component with Andrew Potter of the University of British Columbia in Vancouver, Romain Vasseur of the University of Massachusetts, Amherst, and Ajesh Kumar of the University of Texas at Austin. The experiments were carried out on a quantum computer at Quantinuum in Broomfield, Colorado, by a team led by Brian Neyenhuis.

The workhorses of the team’s quantum computer are 10 atomic ions of an element called ytterbium. Each ion is individually held and controlled by electric fields produced by an ion trap, and can be manipulated or measured using laser pulses.

Each of those atomic ions serves as what scientists dub a quantum bit, or ‘qubit.’ Whereas traditional computers quantify information in bits (each representing a 0 or a 1), the qubits used by quantum computers leverage the strangeness of quantum mechanics to store even more information. Just as Schrödinger’s cat is both dead and alive in its box, a qubit can be a 0, a 1 or a mashup — or ‘superposition’ — of both. That extra information density and the way qubits interact with one another promise to allow quantum computers to tackle computational problems far beyond the reach of conventional computers.

There’s a big problem, though: Just as peeking in Schrödinger’s box seals the cat’s fate, so does interacting with a qubit. And that interaction doesn’t even have to be deliberate. “Even if you keep all the atoms under tight control, they can lose their quantumness by talking to their environment, heating up or interacting with things in ways you didn’t plan,” Dumitrescu says. “In practice, experimental devices have many sources of error that can degrade coherence after just a few laser pulses.”

The challenge, therefore, is to make qubits more robust. To do that, physicists can use ‘symmetries,’ essentially properties that hold up to change. (A snowflake, for instance, has rotational symmetry because it looks the same when rotated by 60 degrees.) One method is adding time symmetry by blasting the atoms with rhythmic laser pulses. This approach helps, but Dumitrescu and his collaborators wondered if they could go further. So instead of just one time symmetry, they aimed to add two by using ordered but non-repeating laser pulses.

The best way to understand their approach is by considering something else ordered yet non-repeating: ‘quasicrystals.’ A typical crystal has a regular, repeating structure, like the hexagons in a honeycomb. A quasicrystal still has order, but its patterns never repeat. (Penrose tiling is one example of this.) Even more mind-boggling is that quasicrystals are crystals from higher dimensions projected, or squished down, into lower dimensions. Those higher dimensions can even be beyond physical space’s three dimensions: A 2-D Penrose tiling, for instance, is a projected slice of a 5-D lattice.

For the qubits, Dumitrescu, Vasseur and Potter proposed in 2018 the creation of a quasicrystal in time rather than space. Whereas a periodic laser pulse would alternate (A, B, A, B, A, B, etc.), the researchers created a quasi-periodic laser-pulse regimen based on the Fibonacci sequence. In such a sequence, each part of the sequence is the sum of the two previous parts (A, AB, ABA, ABAAB, ABAABABA, etc.). This arrangement, just like a quasicrystal, is ordered without repeating. And, akin to a quasicrystal, it’s a 2D pattern squashed into a single dimension. That dimensional flattening theoretically results in two time symmetries instead of just one: The system essentially gets a bonus symmetry from a nonexistent extra time dimension.

Actual quantum computers are incredibly complex experimental systems, though, so whether the benefits promised by the theory would endure in real-world qubits remained unproven.

Using Quantinuum’s quantum computer, the experientialists put the theory to the test. They pulsed laser light at the computer’s qubits both periodically and using the sequence based on the Fibonacci numbers. The focus was on the qubits at either end of the 10-atom lineup; that’s where the researchers expected to see the new phase of matter experiencing two time symmetries at once. In the periodic test, the edge qubits stayed quantum for around 1.5 seconds — already an impressive length given that the qubits were interacting strongly with one another. With the quasi-periodic pattern, the qubits stayed quantum for the entire length of the experiment, about 5.5 seconds. That’s because the extra time symmetry provided more protection, Dumitrescu says.

“With this quasi-periodic sequence, there’s a complicated evolution that cancels out all the errors that live on the edge,” he says. “Because of that, the edge stays quantum-mechanically coherent much, much longer than you’d expect.”

Though the findings demonstrate that the new phase of matter can act as long-term quantum information storage, the researchers still need to functionally integrate the phase with the computational side of quantum computing. “We have this direct, tantalizing application, but we need to find a way to hook it into the calculations,” Dumitrescu says. “That’s an open problem we’re working on.”

CAPTION

The Penrose tiling pattern is a type of quasicrystal, which means that it has an ordered yet never-repeating structure. The pattern, composed of two shapes, is a 2D projection of a 5D square lattice.

CREDIT

None


ABOUT THE FLATIRON INSTITUTE

The Flatiron Institute is the research division of the Simons Foundation. The institute's mission is to advance scientific research through computational methods, including data analysis, theory, modeling and simulation. The institute's Center for Computational Quantum Physics aims to develop the concepts, theories, algorithms and codes needed to solve the quantum many-body problem and to use the solutions to predict the behavior of materials and molecules of scientific and technological interest.