In the intricate world of quantum physics, where particles interact in ways that seem to defy the standard rules of space and time, lies a profound mystery that continues to captivate scientists: the nature of deconfined quantum critical points (DQCPs). These elusive critical phenomena break away from the conventional framework of physics, offering a fascinating […]

An exact expression for a key process needed in many quantum technologies has been derived by a RIKEN mathematical physicist and a collaborator. This could help to guide advances in quantum technologies.

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Neutrinos, elusive fundamental particles, can act as a window into the center of a nuclear reactor, the interior of the Earth, or some of the most dynamic objects in the universe. Their tendency to change “flavors” may provide clues into the prominence of matter over antimatter in the universe or explain the existence of dark […]

A study by researchers from the University of British Columbia’s Blusson Quantum Matter Institute (UBC Blusson QMI) has found a rare form of one-dimensional quantum magnetism in the metallic compound Ti4MnBi2, offering evidence into a phase space that has remained, until now, largely theoretical.

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Knots are generally understood to form due to twists and turns of long, flexible materials that keep shoes on your feet or frustrate your attempts at hanging holiday decorations. A beam of light doesn’t sound like a material that can create a knot.

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Recent studies have revealed that electrons passing through chiral molecules exhibit significant spin polarization—a phenomenon known as chirality-induced spin selectivity. This effect stems from a nontrivial coupling between electron motion and spin within chiral structures, yet quantifying it remains challenging.

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Physicists at Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have created a compact laser that emits extremely bright, short pulses of light in a useful but difficult-to-achieve wavelength range, packing the performance of larger photonic devices onto a single chip.

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An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials, making the prediction of their properties much more reliable and accurate. A key feature of the new approach is that the models of interatomic interactions are trained on so-called “magnetic forces.”

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