2025年3月20日 · “Any company claiming to have a topological qubit in 2025 is essentially selling a fairy tale [that] undermines the field of quantum computation … and public confidence in science.” For his part, Nayak remained collected and convinced that his team has tamed the elusive Majoranas, even as Legg and other physicists denounce Microsoft’s ...

2024年5月2日 · A major frontier in many-body physics is the realization and study of strongly correlated quantum phases (1–3). In ultracold atomic systems, the typical short-range contact interaction has led to the creation of a variety of exotic quantum phases ( 3 , 4 ).

2025年2月27日 · Support nonprofit science journalism. Sophisticated, trustworthy reporting about science has never been more important. As part of the AAAS mission, Science has built a global award-winning network of reporters and editors that independently cover the most important developments in research and policy.

2017年2月10日 · The challenge posed by the many-body problem in quantum physics originates from the difficulty of describing the nontrivial correlations encoded in the exponential complexity of the many-body wave ...

2025年1月23日 · More broadly, the emergence of chirality on the ultrafast time scale, together with the ability to switch between chirality of opposite handedness, offers exciting opportunities for exploring new phenomena in out-of-equilibrium physics of complex matter, especially in topological (31–33) and correlated systems (34, 35), where handedness plays ...

2025年2月27日 · These include non–close-packed architectures such as the Kagome lattice, a structure of interest in condensed-matter physics and materials science (18, 19), yet notoriously challenging to create with conventional convex building blocks .

2009年1月30日 · The development of general scientific abilities is critical to enable students of science, technology, engineering, and mathematics (STEM) to successfully handle open-ended real-world tasks in future careers (1–6). Teaching goals in STEM education include fostering content knowledge and developing general scientific abilities. One such ability, scientific reasoning (7–9), is related to ...

2020年1月30日 · We approximated the function (t, x, y, z) ↦ (c, u, v, w, p) by means of a physics-uninformed deep neural network, which was followed by a physics-informed deep neural network (t, x, y, z) ↦ (e 1, e 2, e 3, e 4, e 5), in which the coupled dynamics of the passive scalar and the NS equations were encoded in the outputs e 1, e 2, e 3, e 4, and ...

2025年3月13日 · However, fundamental mechanical properties, such as the ice flow law and viscosity structure, remain under debate. In this work, by leveraging remote-sensing data and physics-informed deep learning, we provide evidence over several ice shelves that the flow law follows a grain size–sensitive composite rheology in the compression zone.

2024年2月22日 · Analogies are a favorite technique used to explain complex physics topics to nonscientist audiences; however, they are often imperfect, leading to unwelcome misconceptions. Theoretical physicist Matt Strassler calls such efforts “phibs”—physics fibs.