{"id":143,"date":"2016-10-26T19:31:20","date_gmt":"2016-10-26T19:31:20","guid":{"rendered":"http:\/\/gdgtfix.com\/?p=143"},"modified":"2016-10-26T19:31:20","modified_gmt":"2016-10-26T19:31:20","slug":"quantum-computing-via-anyons","status":"publish","type":"post","link":"https:\/\/gdgtfix.com\/?p=143","title":{"rendered":"Quantum Computing via Anyons"},"content":{"rendered":"
\n

The race is on build a\u00a0\u2018universal\u2019 quantum computer<\/a>. Such a device could be programmed to speedily solve problems that classical computers cannot crack, potentially revolutionizing fields from pharmaceuticals to cryptography. Many of the world’s major technology firms are taking on the challenge, but Microsoft has opted for a more tortuous route than its rivals.<\/p>\n

IBM, Google and a number of academic labs have chosen relatively\u00a0mature hardware<\/a>, such as loops of superconducting wire, to make quantum bits (qubits). These are the building blocks of a quantum computer: they power its speedy calculations thanks to their ability to be in a mixture (or superposition) of \u2018on\u2019 and \u2018off\u2019 states at the same time.<\/p>\n

Microsoft, however, is hoping to encode its qubits in a kind of quasiparticle: a particle-like object that emerges from the interactions inside matter. Some physicists are not even sure that the particular quasiparticles Microsoft are working with\u2014called\u00a0non-abelian anyons<\/a>\u2014actually exist. But the firm hopes to exploit their topological properties, which make quantum states extremely robust to outside interference, to build what are called\u00a0topological quantum computers<\/a>. Early theoretical work on topological states of matter won\u00a0three physicists the Nobel Prize in Physics on 4 October<\/a>.<\/p>\n<\/blockquote>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The race is on build a\u00a0\u2018universal\u2019 quantum computer. Such a device could be programmed to speedily solve problems that classical<\/p>\n","protected":false},"author":1,"featured_media":144,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":[]},"categories":[22,16],"tags":[],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/gdgtfix.com\/wp-content\/uploads\/2016\/10\/EF4C0E1D-CB60-42FC-80423AA2D1F44C69.png.jpg","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p4lA9R-2j","jetpack-related-posts":[{"id":102,"url":"https:\/\/gdgtfix.com\/?p=102","url_meta":{"origin":143,"position":0},"title":"Reprogramming Processors","date":"September 30, 2016","format":false,"excerpt":"Today, the once-monolithic dominance of the CPU is eroding. 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