Artificial physicists

• Autores: John Pavlus
• Localización: New scientist, ISSN 0262-4079, Nº. 3149, 2017, págs. 36-38
• Idioma: inglés
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• Resumen

  • Computers aren't putting scientists out of a job just yet. But within the past year, they have shown remarkable promise at resolving one of the thorniest problems facing physicists who study the way matter behaves at the quantum mechanical level. That problem stems from electrons, those carriers of negative charge that orbit the atomic nucleus. Their behavior dictates many of the properties of matter, from how readily it conducts electricity and heat to its flexibility and ability to reflect light. They are also the basis for computing: last century's breakthroughs paved the way for the computer revolution, allowing them to design circuits that could manipulate electrons carefully enough to perform calculations. Here, Pavlus details how advances in machine learning creates solution to the quantum many-body problem.