Quantum computer boldly goes where no quantum computer has gone before: Space

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Phys.org • September 28, 2026

A quantum computer has been launched into space for the first time, marking a significant milestone led by physicists at the University of Vienna. The team, headed by Philip Walther, developed a photonic processor designed to process raw satellite data directly in orbit before it is sent back to Earth. This approach aims to solve long-standing bandwidth bottlenecks that slow down global communication.

Mapping one atom’s interaction with light uncovers an unbounded network of quantum states

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Phys.org • September 28, 2026

A research team led by professors Sunkyu Yu and Namkyoo Park of Seoul National University and Xianji Piao of the University of Seoul has developed a new mathematical framework to describe how a single atom interacts with light. Published in *Science Advances* on September 25, their study reveals that this simple quantum system contains an enormous, unbounded network of states. The team, supported by the National Research Foundation of Korea chaired by Won-Hwa Hong, created what they call "magnetic graph" theory to unify descriptions across different coupling regimes.

Quantum systems never quite forget where they came from

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Phys.org • October 5, 2026

Researchers from Tampere University, Harvard University, and TU Dresden discovered that chaotic quantum systems retain a permanent record of their origins, which they call a "quantum birthmark." This finding challenges the classical understanding of chaos, where mixing processes like stirring milk into tea erase all memory of the initial state. In contrast, even when quantum ripples appear random at any single moment, they remain at least twice as likely to be found in their original configuration over long periods.

Scientists uncover recurrent patterns within chaotic quantum behavior

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Phys.org • October 5, 2026

Scientists at Zhejiang University and the University of Leeds have developed a new method to find recurring patterns within chaotic quantum systems. Complex quantum systems usually lose their initial patterns quickly due to interactions, but this team created an approach using an algorithm called ScarFinder to search for stable activity in these environments. Their work, published in Nature Physics, successfully identified regular motion in a quantum processor with multiple interacting components.

Reading hidden topology in light, even when energy leaks away

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Phys.org • October 3, 2026

Physicists have developed a method to detect hidden topological properties in light, even when energy leaks away from the system. Topology describes features like knots that remain unchanged despite stretching or twisting. In physics, these properties are labeled by whole numbers that stay constant under small imperfections. This robustness makes topology vital for future electronics and quantum devices that can tolerate defects. However, studying this is difficult because topological numbers exist in momentum space, an abstract area describing wave behavior rather than physical location. Most experiments currently infer topology indirectly by observing edge states, which is like judging a knot only by looking at the rope’s ends.

New catalogs map the quantum possibilities of atomically thin materials

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Phys.org • September 24, 2026

Twistronics has emerged as a new field where researchers stack atomically thin material layers at specific angles to create electronic behaviors absent in the original ingredients. This approach has already produced superconductivity and fractional Chern insulators, states featuring fractionally charged excitations. A recent international collaboration published two papers in *Science* on September 24 to map these possibilities. The first study analyzed 8,872 entries from computational databases to identify 4,073 materials with nontrivial topology or an obstructed atomic limit. B. Andrei Bernevig of Princeton University explained that every new family of twisted materials offers a chance to ask different questions about quantum matter beyond the few platforms currently known.