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Researchers used an AI language model paired with mathematical rules to discover new quantum error-correcting codes that could help scale up quantum computers. The AI system found dozens of competitive code designs by evolving mathematical specifications, including some based on non-abelian groups that were never explored before in this context.

Researchers designed communication tasks that can definitively prove when two quantum devices are genuinely incompatible — meaning they cannot both operate simultaneously in the same quantum system. The proof works without needing to know the internal details of the devices, and reveals a new way quantum systems outperform classical ones in communication tasks.

Researchers expanded how to build topological codes—a leading approach to protecting quantum computers from errors—by relaxing the requirement that they repeat perfectly across space. The new codes combine translation symmetry with rotations and reflections, and surprisingly, they can require fewer qubits in practice than the standard designs, making them simpler to build.

Quantum networks face a fundamental trade-off: the longer you run a quantum link without maintenance, the more its signal quality degrades, but pausing to recalibrate takes the link offline entirely. Researchers developed a mathematical protocol that automatically decides how long each link should operate before recalibrating, balancing quality against availability to meet a network's performance needs.

Physicists have identified how to harness the quantum environment surrounding tiny conductors to reduce noise and boost measurement precision. The key is tuning the bandwidth of this environment to create synchronized interference patterns in electron flow, allowing devices to achieve better precision than systems without this engineered memory effect.

Researchers proved that for a broad class of optimization problems, even quantum computers face fundamental speed limits when trying to beat classical algorithms. On problems where each variable connects to at most D constraints, any quantum advantage shrinks to just a constant improvement — the hard part (improving by roughly 1/√D) remains equally hard for both quantum and classical machines.

Physicists created a special quantum state in ultracold atoms that mimics a theoretical arrangement predicted to host particles with unusual braiding properties—a key building block for quantum computers. Using precise measurements, they confirmed the state had the expected pairing structure, marking the first direct observation of this arrangement in a controlled laboratory setting.

Physicists developed a mathematical toolkit for understanding how quantum fields behave in warped spacetimes—curved geometries that include cosmic defects like strings and monopoles. By breaking down the complex geometry into simpler pieces, they derived exact solutions showing how fields vibrate around these defects, with specific predictions for how particles pop in and out of existence near a monopole in anti-de Sitter space.

Physicists have shown that quantum systems described by a particular mathematical framework cannot evolve the same way backward as forward in time—a fundamental asymmetry encoded in the ratio 2/3. When they modeled the behavior of ultracold lithium atoms using this framework, they found that collapse effects grew a trillion times stronger in the forward direction than the reverse, matching none of the symmetric collapse models currently used in physics.

In a simplified model of interacting electrons with unusual physical properties, researchers found that breaking symmetry rules (a non-Hermitian feature) dramatically amplifies the tendency for electrons to bunch up in ordered patterns. This effect is strongest at special points in the system where the usual rules of quantum mechanics start to fail, and a reliable diagnostic tool called the topological marker successfully tracks when and where this bunching occurs.

The International Astronomical Union has built a framework called the Flagship Ecosystem that helps countries use astronomy education and research to address poverty, inequality, and lack of skilled workers. The system combines funding, training, open resources, and communities of practice to make astronomy-based development projects easier to launch and scale across different regions.

Physicists discovered that by rapidly switching electric fields around two tiny barriers in a quantum channel, they can trap particles temporarily and control whether they pass through or bounce back. The spacing between the barriers and the strength of the oscillations determine whether particles get stuck in "bound states"—special configurations where they linger far longer than physics normally allows.

When laser beams carrying data travel through a turbulent atmosphere, turbulence scrambles their structure and spreads their power across multiple beam patterns. Researchers created a mathematical model that predicts exactly how much power leaks from the original beam pattern into neighboring ones—and found the loss scales predictably with distance, following a simple formula that works even over very long paths.

Researchers found that constantly measuring a chain of quantum particles fundamentally changes how quickly disorder spreads through the system. At low measurement rates, a boundary between up and down spins expands rapidly; at high rates, it moves sluggishly—a shift called the ballistic-to-diffusive transition. This transition is directly linked to how entanglement (quantum correlation) builds up in the system and can be observed in real experiments without complex filtering tricks.

When people hold multiple related beliefs rather than a single opinion, the way those beliefs connect internally changes how groups reach consensus. Researchers modeled this by giving each person a personal network of three beliefs (for or against, or neutral) linked in different patterns, then watched how groups with these varied belief structures influenced each other. They found that certain internal belief structures make groups more resistant to polarization, but only up to a point—adding more beliefs helps less and less.

Researchers discovered that a key measurement of quantum instability in driven systems has a hidden geometric meaning: it describes how fast a quantum state moves through a particular mathematical landscape. More importantly, they found that nonlinear effects naturally put the brakes on this runaway behavior, creating a built-in limit to how chaotic the system becomes.

Researchers demonstrated a new way to control how quickly quantum information decays in qubits by engineering surfaces that manipulate low-frequency magnetic noise around them. Unlike previous approaches that focused on spontaneous emission, this method targets pure dephasing—the gradual loss of quantum coherence—using specially designed cobalt-iron-boron metasurfaces placed near nitrogen-vacancy centers in diamond. The technique opens a new path for protecting quantum information without relying on optical engineering.

When quantum computers try to solve logic puzzles using Grover's algorithm, the way you write down the puzzle matters enormously for how many quantum resources you need. Researchers found that switching from the standard way of writing these puzzles (CNF) to a different format called ESOP cuts the number of quantum bits needed, reduces complex quantum gates, and shrinks the overall circuit — sometimes substantially — while solving the same problems.

Researchers discovered a new way to create long-range quantum entanglement in mixed states—a halfway point between pure and completely random quantum systems. The key insight: when you restrict a quantum system to stay symmetric under translations, the simple, short-range entangled states that normally fill the space are vastly outnumbered by complex, long-range entangled ones. This happens not because of exotic quantum phenomena, but simply because there's more room for complexity.

Researchers developed a new approach that allows recurrent neural networks to efficiently simulate quantum systems at scale, reaching lattices as large as 52×52 sites while matching results from established quantum simulations. By harnessing recent advances in parallel processing, they overcame the common assumption that recurrent networks are too sequential for quantum problems and showed these models can work reliably on modest computers.

Researchers showed how to create special quantum defects by slightly disturbing a topologically ordered quantum system — defects that could enable a new form of quantum computing through defect braiding. The team mapped out the energy spectrum of these synthetic defects and pinpointed the quantum phase transition that triggers their emergence, filling a gap in a decade-old theoretical proposal that had never been systematically tested.

A new method for zooming in and out on networks where two different types of things interact—like plants and pollinators, or actors and movies—reveals multiscale structure that standard techniques miss. When researchers compressed these bipartite networks the usual way, they erased crucial information about role separation; the new approach preserves it, uncovering hidden hierarchies that traditional analysis overlooks.

Physicists have designed a way to control magnetic behavior in one material by attaching a quantum magnetic layer next to it. The quantum layer acts like a bath that damps and drives the classical magnetic material, creating new ways to tune how magnetic waves, domain walls, and skyrmions (tiny magnetic vortices) move and disappear. This could let engineers manipulate magnetic dynamics without direct electrical or magnetic contact.

Researchers built a device that converts signals between microwave circuits in quantum computers and optical fibers with less thermal noise than previous designs. By combining two materials—silicon and lithium niobate—using a precise printing technique, they achieved the strong signal conversion needed for practical quantum-to-optical communication.

A quantum state satisfies a "strong Markov property" if you can recover lost information about it by measuring just one copy and applying a local fix — and this works the same way regardless of what you actually measure. The researchers show this property is equivalent to a simpler mathematical condition: correlations must decay in a particular way, and they prove three surprising consequences, including that you can estimate multiple properties of a quantum state from a single measurement.

Researchers demonstrated that quantum computers can simulate how fluids move and mix under varying flow patterns — a step toward realistic fluid dynamics calculations on quantum hardware. Using IonQ's trapped-ion systems, they solved the advection-diffusion equation in three dimensions and identified a major bottleneck: repeatedly reading out and reloading fluid density data. They propose using a technique called MPS shadow tomography to make this process faster at scale.