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Space & Physics

When Quantum Rules Break: How Magnetism and Superconductivity May Finally Coexist

A new theoretical breakthrough from MIT suggests that exotic quantum particles known as anyons could reconcile a long-standing paradox in physics, opening a path to an entirely new form of superconductivity.

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When Quantum Rules Break: How Magnetism and Superconductivity May Finally Coexist
Image credit: Pawel Czerwinski/UnSplash

For decades, physicists believed that superconductivity and magnetism were fundamentally incompatible. Superconductivity is fragile: even a weak magnetic field can disrupt the delicate pairing of electrons that allows electrical current to flow without resistance. Magnetism, by its very nature, should destroy superconductivity.

And yet, in the past year, two independent experiments upended this assumption.

In two different quantum materials, researchers observed something that should not have existed at all: superconductivity and magnetism appearing side by side. One experiment involved rhombohedral graphene, while another focused on the layered crystal molybdenum ditelluride (MoTe₂). The findings stunned the condensed-matter physics community and reopened a fundamental question—how is this even possible?

Now, a new theoretical study from physicists at the Massachusetts Institute of Technology offers a compelling explanation. Writing in the Proceedings of the National Academy of Sciences, the researchers propose that under the right conditions, electrons in certain magnetic materials can split into fractional quasiparticles known as anyons—and that these anyons, rather than electrons, may be responsible for superconductivity.

If confirmed, the work would introduce a completely new form of superconductivity, one that survives magnetism and is driven by exotic quantum particles instead of ordinary electrons.

“Many more experiments are needed before one can declare victory,” said Senthil Todadri, William and Emma Rogers Professor of Physics at MIT, in a media statement. “But this theory is very promising and shows that there can be new ways in which the phenomenon of superconductivity can arise.”

A Quantum Contradiction Comes Alive

Superconductivity and magnetism are collective quantum states born from the behavior of electrons. In magnets, electrons align their spins, producing a macroscopic magnetic field. In superconductors, electrons pair up into so-called Cooper pairs, allowing current to flow without energy loss.

For decades, textbooks taught that the two states repel each other. But earlier this year, that belief cracked.

At MIT, physicist Long Ju and colleagues reported superconductivity coexisting with magnetism in rhombohedral graphene—four to five stacked graphene layers arranged in a specific crystal structure.

“It was electrifying,” Todadri recalled in a media statement. “It set the place alive. And it introduced more questions as to how this could be possible.”

Soon after, another team reported a similar duality in MoTe₂. Crucially, MoTe₂ also exhibits an exotic quantum phenomenon known as the fractional quantum anomalous Hall (FQAH) effect, in which electrons behave as if they split into fractions of themselves.

Those fractional entities are anyons.

Meet the Anyons: Where “Anything Goes”

Anyons occupy a strange middle ground in the quantum world. Unlike bosons, which happily clump together, or fermions, which avoid one another, anyons follow their own rules—and exist only in two-dimensional systems.

First predicted in the 1980s and named by MIT physicist Frank Wilczek, anyons earned their name as a playful nod to their unconventional behavior: anything goes.

Decades ago, theorists speculated that anyons might be able to superconduct in magnetic environments. But because superconductivity and magnetism were believed to be mutually exclusive, the idea was largely abandoned.

The recent MoTe₂ experiments changed that calculus.

“People knew that magnetism was usually needed to get anyons to superconduct,” Todadri said in a media statement. “But superconductivity and magnetism typically do not occur together. So then they discarded the idea.”

Now, Todadri and MIT graduate student Zhengyan Darius Shi, co-author of the study, revisited the old theory—armed with new experimental clues.

Using quantum field theory, the team modeled how electrons fractionalize in MoTe₂ under FQAH conditions. Their calculations revealed that electrons can split into anyons carrying either one-third or two-thirds of an electron’s charge.

That distinction turned out to be critical.

Anyons are notoriously “frustrated” particles—quantum effects prevent them from moving freely together.

“When you have anyons in the system, what happens is each anyon may try to move, but it’s frustrated by the presence of other anyons,” Todadri explained in a media statement. “This frustration happens even if the anyons are extremely far away from each other.”

But when the system is dominated by two-thirds-charge anyons, the frustration breaks down. Under these conditions, the anyons begin to move collectively—forming a supercurrent without resistance.

“These anyons break out of their frustration and can move without friction,” Todadri said. “The amazing thing is, this is an entirely different mechanism by which a superconductor can form.”

The team also predicts a distinctive experimental signature: swirling supercurrents that spontaneously emerge in random regions of the material—unlike anything seen in conventional superconductors.

Why This Matters Beyond Physics

If experiments confirm superconducting anyons, the implications could extend far beyond fundamental physics.

Because anyons are inherently robust against environmental disturbances, they are considered prime candidates for building stable quantum bits, or qubits—the foundation of future quantum computers.

“These theoretical ideas, if they pan out, could make this dream one tiny step within reach,” Todadri said.

More broadly, the work hints at an entirely new category of matter.

“If our anyon-based explanation is what is happening in MoTe₂, it opens the door to the study of a new kind of quantum matter which may be called ‘anyonic quantum matter,’” Todadri said. “This will be a new chapter in quantum physics.”

For now, the theory awaits experimental confirmation. But one thing is already clear: a rule long thought unbreakable in quantum physics may no longer hold—and the quantum world just became a little stranger, and far more exciting.

Space & Physics

From Assembly to Silicon: India’s Long Road to Semiconductor Self-Reliance

India is building a semiconductor ecosystem through fabrication, packaging, chip design and Mission 2.0 to reduce imports and strengthen technology leadership.

Joe Jacob

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What India Semiconductor Mission 2.0 Changes
Image credit; Miguel Á. Padriñán/Pexels

For decades, India excelled at writing the software that powered the world’s computers but remained almost entirely dependent on other countries for the chips inside them. Every smartphone, fighter aircraft, satellite, electric vehicle, telecom network and artificial intelligence system relied on semiconductors designed and manufactured largely outside India’s borders.

That dependence has become one of the country’s biggest strategic vulnerabilities.

Today, India is attempting to change that.

How the India Semiconductor Mission Began

What began as an industrial policy is steadily evolving into a national technology mission—one that seeks not merely to manufacture chips, but to build an ecosystem spanning design, fabrication, advanced packaging, materials, equipment and skilled talent. If successful, it could reshape India’s manufacturing landscape and strengthen its position in a global technology race increasingly defined by semiconductor capabilities.

The launch of the India Semiconductor Mission (ISM) marked a turning point. Rather than offering isolated incentives, the government adopted a mission-driven approach aimed at creating an end-to-end semiconductor ecosystem. The objective extends beyond attracting investment; it is about ensuring technological sovereignty in a world where access to chips increasingly determines economic resilience and national security.

The Design Linked Incentive (DLI) scheme has been an important catalyst. We are seeing some early success. At the same time, there is also an evolutionary factor at play. Engineers who moved abroad 20–25 years ago are now at a stage where they have both the experience and financial capacity to take entrepreneurial risks. Many also want to return to India–says Neelkanth Mishra, in an interview with EdPublica.

Why semiconductors matter

Semiconductors are often described as the “brains” of modern electronics, but their strategic significance runs far deeper.

Every sector that governments now classify as critical—artificial intelligence, defence, space, telecommunications, medical devices, automobiles, renewable energy and industrial automation—depends on increasingly sophisticated chips.

The COVID-19 pandemic exposed how vulnerable global supply chains had become. Factory shutdowns in one part of the world disrupted automobile production thousands of kilometres away. Geopolitical tensions further highlighted the risks of concentrating semiconductor manufacturing in only a handful of countries.

For India, which imports billions of dollars’ worth of electronic components every year, the lesson was unmistakable: technological ambition cannot rest entirely on imported hardware.

Building the foundation

Recognising this challenge, the government launched India Semiconductor Mission 1.0, backed by a financial incentive programme worth ₹76,000 crore. It represented India’s first coordinated attempt to build semiconductor manufacturing capabilities within the country.

The mission was designed to support multiple segments simultaneously:

>> silicon wafer fabrication plants;

>> assembly, testing, marking and packaging (ATMP) facilities;

>> Outsourced Semiconductor Assembly and Test (OSAT) units;

>> compound semiconductor manufacturing;

>> semiconductor design through the Design Linked Incentive (DLI) Scheme.

Rather than relying on a single mega-project, policymakers attempted to create an ecosystem in which manufacturing, design, packaging and supply chains could evolve together.

From policy announcements to factories

One of the biggest criticisms of India’s earlier electronics programmes was that announcements often outpaced execution.

This time, the picture is beginning to look different.

Approved semiconductor projects now represent cumulative investment commitments exceeding ₹1.64 lakh crore, spread across multiple states. According to the Ministry of Electronics and Information Technology, the approved portfolio now covers fabrication facilities, packaging plants and compound semiconductor manufacturing, reflecting a broader industrial base than initially envisioned.

The most visible milestone has been the commencement of commercial production at Micron Technology’s advanced semiconductor packaging facility in Gujarat, widely regarded as the first major operational success under the mission.

Several other large projects—including those led by Tata Electronics, Kaynes Semicon, and the Tata-PSMC semiconductor fabrication project at Dholera—have moved into advanced stages of construction and are expected to enter commercial production soon. Together, they represent India’s first serious attempt to establish domestic silicon manufacturing at scale.

Equally significant is the geographical spread.

Instead of concentrating semiconductor manufacturing in one industrial cluster, projects are now emerging across Gujarat, Rajasthan and other states, creating the beginnings of a distributed semiconductor manufacturing network.

Manufacturing is only one piece of the puzzle

Building chips requires far more than fabrication plants.

A modern semiconductor ecosystem depends on hundreds of specialised suppliers producing chemicals, gases, ultra-pure materials, precision equipment, packaging technologies and printed circuit boards (PCBs).

Recognising these gaps, the government has started extending policy support beyond chip fabrication.

A recent example is the foundation of advanced PCB manufacturing projects worth about ₹6,750 crore in Jewar, Uttar Pradesh. These facilities are expected to manufacture high-density multilayer PCBs—including advanced 20-22 layer boards—that India has traditionally imported in large quantities.

India Semiconductor Mission chip manufacturing facility
Image credit/Pok Rie / Pexels

Reducing imports of such critical components strengthens the broader electronics manufacturing ecosystem while creating domestic capabilities that extend well beyond semiconductor fabrication itself.

Design remains India’s strongest advantage

While fabrication receives most public attention, India already possesses one major strength: semiconductor design.

Thousands of engineers employed by global companies already design chips from Indian engineering centres. The challenge has been converting this design talent into domestic intellectual property.

The Design Linked Incentive (DLI) Scheme attempts to bridge that gap.

According to government data, the programme has supported dozens of chip design projects, enabled successful tape-outs, encouraged patent filings and provided advanced chip-design tools to more than 100 companies while training a growing pool of specialised semiconductor engineers.

Moving from outsourced engineering services towards Indian-owned semiconductor intellectual property could prove just as significant as establishing fabrication plants.

The next chapter: ISM 2.0

If the first phase focused on attracting semiconductor manufacturing, the next phase aims to deepen India’s role across the entire value chain.

Announced in the Union Budget 2026-27, India Semiconductor Mission 2.0 shifts attention towards areas where India still depends heavily on imports.

The new phase proposes support for:

>> semiconductor manufacturing equipment;

>> specialty materials and chemicals;

>> indigenous semiconductor intellectual property;

>> advanced packaging technologies;

>> compound semiconductors;

>> industry-led research and training centres.

The underlying philosophy is straightforward: long-term self-reliance cannot be achieved by importing all the machinery, chemicals and specialised materials required to manufacture chips.

Instead, India aims to build capabilities throughout the production chain—from research laboratories to finished semiconductor products.

Recent reports indicate that the government is also preparing a substantially larger financial commitment for ISM 2.0 as it expands beyond manufacturing incentives into ecosystem development.

Strategic partnerships without strategic dependence

India’s semiconductor strategy has deliberately combined domestic capability building with international collaboration.

Leading companies from the United States, Taiwan, Japan and South Korea have become partners in India’s emerging semiconductor ecosystem, bringing technology, manufacturing expertise and investment.

This reflects a broader policy shift.

Rather than attempting complete technological isolation, India is seeking trusted international partnerships while gradually strengthening indigenous capabilities in manufacturing, design and supply chains.

In an increasingly fragmented global technology landscape, diversification itself has become a strategic asset.

The road ahead remains difficult

Despite visible progress, India’s semiconductor journey is still in its early stages.

Chip fabrication demands extraordinary precision, massive capital investments, reliable infrastructure and uninterrupted supplies of ultra-pure water, electricity and specialised materials. Success also depends on building a workforce capable of operating some of the world’s most sophisticated manufacturing facilities.

Moreover, semiconductor manufacturing is measured in decades, not election cycles.

Countries that dominate the industry today invested consistently over many years before becoming global leaders.

India therefore faces the challenge of maintaining policy continuity while ensuring that announced projects translate into commercially competitive production.

A larger national ambition

The significance of India’s semiconductor mission extends well beyond electronics manufacturing.

Every fabrication facility commissioned, every packaging unit established and every design company supported reduces import dependence, creates highly skilled employment and strengthens India’s position within global technology supply chains.

For a country seeking greater strategic autonomy, semiconductor capability is increasingly becoming as important as energy security or defence preparedness.

The first phase of the mission has established the initial building blocks. The second phase aims to strengthen the ecosystem beneath them.

Whether India ultimately becomes a major global semiconductor hub will depend not on a single factory or policy announcement, but on its ability to sustain investment, develop talent, encourage innovation and build an integrated value chain over the coming decade.

After years of watching the global semiconductor revolution from the sidelines, India has entered the race. The challenge now is to ensure that today’s investment commitments become tomorrow’s manufacturing capability—and eventually, technological leadership.

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Space & Physics

MIT develops ultra-low-power chip that could help tiny robots navigate complex environments

MIT researchers have developed an ultra-low-power chip that enables tiny robots to create detailed 3D maps and navigate complex environments while consuming just 6 milliwatts of power. This breakthrough could expand the capabilities of drones, inspection robots, and augmented reality devices.

Joe Jacob

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MIT robot
Image: Zamani Sahudi/Pexels

Researchers at the Massachusetts Institute of Technology (MIT) have developed a new ultra-efficient chip that enables tiny autonomous robots to generate detailed 3D maps of their surroundings in real time while consuming only a fraction of the power required by existing systems.

The new MIT robot navigation chip, called Gleanmer, could help small drones and robots safely navigate complex environments, from industrial heating and ventilation systems to confined inspection spaces where battery life and computing resources are limited.

According to the researchers, the chip consumes just 6 milliwatts of power—roughly the same amount needed to run a single LED—while constructing detailed 3D maps for navigation.

The findings were recently presented at the IEEE Very Large-Scale Integrated Circuits Symposium.

Designed for battery-powered robots

Autonomous robots rely on 3D maps to understand their surroundings and avoid obstacles. However, generating these maps typically requires significant computing power and memory, making the process difficult for small, battery-powered devices.

The MIT team tackled this challenge by combining a highly efficient mapping algorithm with custom-designed hardware that minimizes memory usage and energy consumption.

“This paper showcases a key example of how you can leverage co-design of the algorithm and hardware to really push energy efficiency,” Vivienne Sze, professor in MIT’s Department of Electrical Engineering and Computer Science and senior author of the study, said in a media statement.

“While there has been a lot of work looking into compact 3D maps, what stands out about this work is that it also ensures that the process to generate those maps is as efficient as possible. Our chip allows you to store very large maps in a very small space, and do it in a very energy efficient manner,” she added.

Replacing cubes with ‘Gaussian blobs’

Traditional mapping systems represent environments using millions of cube-shaped units known as voxels. These structures require substantial memory and processing power.

Instead, the MIT researchers employed a technique that represents objects using flexible ellipsoid-shaped structures known as Gaussians.

Because these Gaussian representations can adapt to the shape of real-world objects more efficiently, the system requires far less memory than conventional approaches while still preserving detailed information about obstacles and free space.

The chip uses a mapping algorithm developed by the researchers called GMMap, which can generate accurate 3D maps from depth images in a single pass, eliminating the need to repeatedly process and store large image datasets.

“At any point in time, we only need to store a few pixels in memory, which significantly reduces the memory footprint our algorithm requires,” co-lead author Peter Zhi Xuan Li said.

Improving efficiency through hardware-software co-design

As robots move through an environment, they often observe the same object from multiple viewpoints, creating overlapping representations that can increase map size.

To address this, the researchers developed a technique that merges overlapping Gaussian representations directly, without revisiting the original image data. This further reduces memory requirements and power consumption.

The chip also keeps frequently used map data in small on-chip memory units located close to the processing hardware, reducing the need to access more energy-intensive external storage.

“By having a dedicated memory that just stores the objects you’ve seen in the previous few frames, you can access the data much more efficiently,” co-lead author Zih-Sing Fu said.

Potential uses beyond robotics

The researchers tested the chip using a range of existing 3D environments and live data streams from an iPhone camera. In these experiments, Gleanmer generated detailed maps in real time while consuming only about 2.5% of the power required by the best existing map-construction chips.

The team believes the technology could be useful not only for autonomous robots and drones but also for lightweight augmented reality headsets, particularly in applications such as medical training, repair work, and industrial assembly.

“We reduce the memory consumption by making sure the algorithm is efficient. Then we accelerate the workload that is performed by that efficient algorithm, so in the end, our chip is as efficient as possible,” Li said.

Researchers now plan to further improve the technology by bringing processing components closer to sensors and exploring additional applications, including AI systems that need to analyse complex engineering schematics.

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Space & Physics

NASA announces crew of Artemis III at live event

Artemis III will be the agency’s next human space exploration mission paving the way for humanity’s planned return to the moon in 2028.

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The Artemis III crew poses for an official portrait (from left: Andre Douglas, Luca Parmitano, Randy Bresnik, Frank Rubio). Credit: NASA/Bill Stafford

At 20:30 hours IST yesterday, NASA’s Johnson Space Center in Houston, Texas held a live event their engineers, scientists, the astronaut corps and the media attended. The space agency officially announced the crew of Artemis III, the agency’s next human space exploration mission, paving the way for humanity’s planned return to the moon in 2028, over fifty years after the Apollo program.

Half-way through the hour-long presentation, Jared Isacson, the NASA administrator, walked to the dais to announce the all-men crew of Artemis III: NASA mission commander Randy Bresnik, mission specialists Andre Douglas and Frank Rubio, and European Space Agency pilot Luca Parmitano, an Italian national. 

Three of the astronauts excluding Douglas, a US Coast Guard reserve, are both spaceflight and military veterans. Bresnik, a US marine colonel and test pilot clocking 7,000 hours, commanded the International Space Station. So did Parmitano, the first Italian commander of the station, and who survived a 2013 spacewalk when water abruptly filled his helmet and had an asteroid named after him. Rubio, a US army helicopter pilot, holds the record for the longest time spent in space. 

NASAs Artemis III Announcement 38 40 screenshot

Screengrab from the YouTube livestream of the event at NASA Johnson Space Center, Houston, Texas. Credit: NASA

Mission timeline

The mission could take off in the second-half of 2027. Originally,  NASA planned Artemis III to be the first soft-landing lunar mission since 1972’s Apollo 17, with a slated launch date in 2028. However, in March, the agency updated mission timelines, with the mission relegated for testing its mission critical docking mechanism, ahead of Artemis IV’s planned soft-landing that year.

The crew will fly aboard a Space X Orion capsule into low-earth orbit. Unlike its predecessor, Artemis III won’t leave earth orbit and conduct a flyby past the moon. Instead, it will test life support systems and docking with Artemis’ era lunar landers, built by private space companies Space X and Blue Origin, the Starship Human Landing System (HLS) and the Blue Moon respectively. In addition, Artemis III will carry on science experiments, including using instrumentation to test effects of atmospheric drag upon the spacecraft, amidst hostile space weather.

lunarlanders

The Apollo and Artemis-era lunar landers drawn to scale. Credit: NASA

Lunar landers 

There has been skepticism whether the Blue Moon lunar lander’s launch schedule would be affected, in the aftermath of last week’s mishap involving New Glenn, the flagship rocket of Jeff Bezos-owned Blue Origin, exploding during a hot-static test ahead of its slated launch of Amazon’s satellites. The explosion destroyed the company’s custom-developed launchpad at Cape Canaveral Space Force Station in Florida. However, the company CEO, David Limp, posted on X, they’ll return to full-swing operations latest before the end of this year.

Whereas Starship HLS, the other lunar lander design, will feature a variant of the Starship rocket, with the latter design being still tested over repeated space flights in the past year. 

Either lunar landers designed to ferry astronauts from lunar orbit to the surface, and back. In a future Artemis mission, the astronauts, who will ride aboard Space X’s Orion crew module from earth, will dock with the lander in lunar orbit, before transferring to the lander module. 

It’s unclear which lander design’s slated to make the soft-landing attempt in Artemis IV. 

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