The problem with the ultimate problem-solving machine

• Autores: Michael Brooks
• Localización: New scientist, ISSN 0262-4079, Nº. 3150, 2017, págs. 33-35
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Remember when Apple launched the iPhone and you first heard people prattling on about things called apps? Back then, there were just a few hundred applications to choose from--a shortage that looked a lot like an opportunity and promptly gave rise to the newfangled job title of app designer. These days you can select from more than 2 million iPhone apps--yet more proof of the device's runaway success. The fact that researchers at Google, IBM, Microsoft and a host of other organisations are even building prototypes shows how far we have come. What's truly exciting, though, is that by challenging a new generation of programmers to go quantum, they are now tackling a question that has largely been brushed under the carpet: when we build the ultimate problem-solving machine, what are we going to do with it? The quantum leap in computing has been a long time coming. It was first conceived in the 19805, when theorists predicted that a computer based on quantum effects could vastly outperform classical computers at certain tasks