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If only scientists understood exactly how electrons act in molecules, they’d be able to predict the behavior of everything from experimental drugs to high-temperature superconductors. Following decades of physics-based insights, artificial intelligence systems are taking the next leap.
One of the first goals of quantum computing has been to recreate bizarre quantum systems that can’t be studied in an ordinary computer. A dark-horse quantum simulator has now done just that.
So-called topological quantum computing would avoid many of the problems that stand in the way of full-scale quantum computers. But high-profile missteps have led some experts to question whether the field is fooling itself.
The unambiguous discovery of a Wigner crystal relied on a novel technique for probing the insides of complex materials.
Like a perpetual motion machine, a time crystal forever cycles between states without consuming energy. Physicists claim to have built this new phase of matter inside a quantum computer.
Theorists are in a frenzy over “fractons,” bizarre, but potentially useful, hypothetical particles that can only move in combination with one another.
Superconductivity has been discovered in graphene devices without any twists, suggesting the form of superconductivity in the material might be mundane after all.
The zoo of spontaneously emerging particlelike entities known as quasiparticles has grown quickly and become more and more exotic. Here are a few of the most curious and potentially useful examples.
An unexpected superconductor was beginning to look like a fluke, but a new theory and a second discovery have revealed that emergent quasiparticles may be behind the effect.