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 discovered evidence of altermagnetism in a thin, highly tunable material that could help electronics use electron spin instead of relying only on electrical charge. The unusual magnetic state may enable faster, more energy-efficient devices without the unwanted magnetic interference caused by conventional magnets.

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.

UCLA researchers built an AI system that uses light to analyze more than a dozen videos simultaneously, detecting deepfakes with nearly 98% accuracy. Its speed, low energy demands, and resistance to attacks could make it a powerful tool for screening the growing flood of AI-generated video.

Researchers have shown that exotic quantum particles called non-Abelian anyons can perform the full range of operations needed for universal quantum computing. Using 54 qubits on Quantinuum’s H2 processor, they combined braiding and fusion to unlock capabilities that braiding alone could not provide.

Stanford researchers have recorded the first real-time quantum jumps of sound, watching single phonons abruptly vanish from one energy state to another. The breakthrough could open new paths for quantum computing, error correction, highly sensitive biological sensors, and next-generation sound-based devices.

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.