Oxford physicists have recreated a bizarre quantum effect in which a particle responds to a magnetic field without ever traveling through it. Using a hybrid quantum computer, they demonstrated how introducing a simulated magnetic flux could completely halt a particle's movement through quantum interference. The experiment brings a decades-old prediction into a new setting where matter and quantum fields influence one another.

Scientists have uncovered a surprising hidden ability of light that allows it to develop spinning, twisting behavior as it travels through empty space, without special lenses, mirrors, or materials. Researchers discovered that light’s internal geometry can naturally produce left- and right-handed patterns, challenging long-standing assumptions about how light behaves. By carefully arranging a beam’s structure, scientists can control where and how these spinning patterns emerge, unlocking a new way to manipulate light.

Mathematics may hold unexpected clues to understanding Alzheimer’s disease. Scientists have developed a model showing how common metals like copper and zinc may influence the buildup of proteins associated with the disease, while also exploring possible ways to stop the process. The findings could help researchers identify promising strategies for preventing harmful plaque formation.

A proposed qubit made with superfluid helium could cut quantum computing error rates by around 100 times by shielding quantum information from common forms of electromagnetic noise. If experiments confirm the predictions, the technology could eventually work alongside today’s superconducting qubits or serve as a new kind of quantum memory.

Researchers have experimentally observed energy patterns that physicists have predicted for about 40 years. By arranging laser-trapped atoms into a quantum simulator, they recreated two different quantum tipping points and watched the atoms fall into the exact energy ratios predicted by theory. The technique could now be used to explore mysterious quantum systems where scientists do not already know the answer.

Complex systems may work better when their parts are not perfectly alike. Northwestern physicists found that carefully balanced variation, or “disorder,” can make networks such as power grids, ecosystems, neurons, and materials more stable. Even random differences sometimes improved stability compared with completely uniform systems. The discovery could help researchers design more resilient technologies and explain why natural systems are so rarely perfectly uniform.