Category Physics

Discarded particles dubbed ‘neglectons’ may unlock universal quantum computing

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Key to the researchers’ discovery were rescued particles they dubbed “neglectons,” a name that reflects both their overlooked status and their newfound importance. (Image generated using MidJourney)

Quantum computers have the potential to solve problems far beyond the reach of today’s fastest supercomputers. But today’s machines are notoriously fragile. The quantum bits, or “qubits,” that store and process information are easily disrupted by their environment, leading to errors that quickly accumulate.

One of the most promising approaches to overcoming this challenge is topological quantum computing, which aims to protect quantum information by encoding it in the geometric properties of exotic particles called anyons...

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Einstein was wrong: MIT just settled a 100 year quantum debate

Figure shows a beam of red light with two atom icons in it, going through a hole. A screen depicts bending red light.
Caption:Schematic of the MIT experiment: Two single atoms floating in a vacuum chamber are illuminated by a laser beam and act as the two slits. The interference of the scattered light is recorded with a highly sensitive camera depicted as a screen. Incoherent light appears as background and implies that the photon has acted as a particle passing only through one slit.
Credits:Credit: Courtesy of the researchers

MIT physicists confirm that, like Superman, light has two identities that are impossible to see at once. Physicists at MIT recreated the double-slit experiment using individual photons and atoms held in laser light, uncovering the true limits of light’s wave–particle duality. Their results proved Einstein’s proposal wrong and confirmed a core prediction of quantum mechanics...

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New AI tool learns to read medical images with far less data

New AI tool learns to read medical images with far less data
GenSeg improves in-domain and out-of-domain generalization performance across a variety of segmentation tasks covering diverse diseases, organs, and imaging modalities. Credit: Nature Communications (2025). DOI: 10.1038/s41467-025-61754-6

A new artificial intelligence (AI) tool could make it much easier—and cheaper—for doctors and researchers to train medical imaging software, even when only a small number of patient scans are available.

The AI tool improves upon a process called medical image segmentation, where every pixel in an image is labeled based on what it represents—cancerous or normal tissue, for example. This process is often performed by a highly trained expert, and deep learning has shown promise in automating this labor-intensive task.

The big challenge is t...

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AI model uses glucose spikes to reveal hidden diabetes risk before symptoms appear

AI model detects hidden diabetes risk by reading glucose spikes
Multimodal data collection in PROGRESS. Credit: Nature Medicine (2025). DOI: 10.1038/s41591-025-03849-7

To diagnose either type 2 diabetes or pre-diabetes, clinicians typically rely on a lab value known as HbA1c. This test captures a person’s average blood glucose levels over the previous few months. But HbA1c cannot predict who is at highest risk of progressing from healthy to prediabetic, or from prediabetic to full-blown diabetes.

Now, scientists at Scripps Research have discovered that artificial intelligence can use a combination of other data—including real-time glucose levels from wearable monitors—to provide a more nuanced view of diabetes risk.

The new model, described in Nature Medicine, uses continuous glucose monitor (CGM) data alongside gut microbiome, diet, ph...

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