Researchers in the United States are set to start designing practical and self-correcting quantum computers from top to bottom. For this, a Yale-led multidisciplinary team of researchers has been awarded a $37.5 million grant from the U.S. National Science Foundation (NSF). <\/p>\n
Researchers also highlighted that to be reliable and practical, quantum computers must be able to detect and correct errors in these machines faster than they occur.<\/p>\n
Challenge for making quantum computing useful<\/p>\n
\u201cToday, error correction is the main scientific and engineering challenge for making quantum computing useful,\u201d said<\/a> Professor Robert Schoelkopf, director of the center. <\/p>\n \u201cWith this project, we want to understand the science and engineering that makes the computers better and easier to build. We\u2019ll come up with new ideas at all levels of the stack to make error correction and fault-tolerant machines<\/a> much more achievable, efficient, and practical.\u201d<\/p>\n It was also revealed that the five-year, $37.5 million effort brings together physicists, engineers, computer scientists and chemists from Yale and partner universities to solve quantum<\/a> computing\u2019s biggest obstacle \u2013 error correction \u2013 and chart a path toward machines reliable enough for real-world use.\u00a0<\/p>\n Making advances at every level of the quantum computer<\/p>\n The research team will launch a new effort titled the NSF Quantum Leap Challenge Institute for Physics and Engineering of Practical Quantum Error Correction (NSF PRACTIQAL), a center that brings together computer scientists, chemists, physicists, and engineers from numerous universities. NSF PRACTIQAL is focused on making advances at every level of the quantum computer, from the physical qubits and control electronics to the way algorithms are run.<\/p>\n \u201cPart of the reason we have not just physicists, but engineers and computer scientists, is so we can understand the physics of the devices and the kind of errors that occur, and then optimize the codes and the algorithms to work with that,\u201d said Schoelkopf, the Sterling Professor of Applied Physics.\u00a0<\/p>\n NSF PRACTIQAL will primarily focus on two challenges in quantum computing. One is identifying key issues that have hindered the scaling of error-corrected machines and finding ways to make quantum error correction more practical and efficient. Second, the researchers will explore the uses of specially designed qubits known as \u201cerasure qubits.\u201d Pioneered by members of the PRACTIQAL team, these qubits act as flags that signal exactly where and when an error has occurred, according to<\/a> a press release. <\/p>\n The team also pointed out that much of the work in this area has been done on very small machines optimized for error correction. The PRACTIQAL group aims to shorten the route to large-scale, error corrected quantum computers.\u00a0<\/p>\n \u201cBecause we\u2019re academics, we\u2019re not going to build a giant system, but we\u2019ll prove our ideas and build a pathway towards how you could build a much bigger system,\u201d said Michael Hatridge, co-director of PRACTIQAL and associate professor of applied physics. <\/p>\n \u201cThat\u2019s why we have industrial partners. We also have an external advisory board helping us not just do isolated experiments, but to stay relevant to the broader community.\u201d<\/p>\n By the end of the ambitious five-year project, the researchers expect to have developed a path toward building practical error-correcting computers on an industrial scale.\u00a0<\/p>\n \u201cWe\u2019re looking forward to it,\u201d Hatridge said. \u201cPRACTIQAL is big, it\u2019s complicated, and it has a lot of moving parts, but we\u2019re very excited to do it.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"Researchers in the United States are set to start designing practical and self-correcting quantum computers from top to…\n","protected":false},"author":2,"featured_media":870592,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[24],"tags":[64,63,9958,292,296,128,439130,439131],"class_list":["post-870591","post","type-post","status-publish","format-standard","has-post-thumbnail","category-physics","tag-au","tag-australia","tag-computers","tag-physics","tag-quantum-computers","tag-science","tag-self-correcting","tag-self-correcting-computers"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/870591","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=870591"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/870591\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/870592"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=870591"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=870591"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=870591"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}