{"id":8542,"date":"2021-07-15T09:00:56","date_gmt":"2021-07-15T13:00:56","guid":{"rendered":"https:\/\/www.technewsday.com\/?p=8542"},"modified":"2021-07-23T13:43:32","modified_gmt":"2021-07-23T17:43:32","slug":"google-tests-out-error-correction-on-its-quantum-processor","status":"publish","type":"post","link":"https:\/\/technewsday.com\/staging\/google-tests-out-error-correction-on-its-quantum-processor\/","title":{"rendered":"Google Tests Out Error Correction On Its Quantum Processor"},"content":{"rendered":"\n<p>Google is trying out error correction on its quantum processor.<\/p>\n\n\n\n<p>The current generation of quantum hardware is called &#8220;NISQ&#8221;: noisy, intermediate-scale quantum processors.<\/p>\n\n\n\n<p>&#8220;Intermediate-scale&#8221; refers to a qubit count that usually runs into the dozens, while &#8220;noisy&#8221; refers to the truth that current qubits often encounter errors, caused by problems setting or reading qubits, or by the qubit losing its state during calculations.<\/p>\n\n\n\n<p>Google&#8217;s quantum computing group mentioned that the layout of its processor was chosen because it makes it easier to perform error correction.<\/p>\n\n\n\n<p>The team now runs two different error correction schemes on the processor, and the results show that error correction clearly works, although more qubits and a lower inherent error rate are required before a correction makes sense.<\/p>\n\n\n\n<p>Google chose a geometry in which all internal qubits are connected to four neighbors while those at the edge have only a pair of connections.<\/p>\n\n\n\n<p>In what is likely the clearest demonstration yet, the researchers started the linear error correction system with a chain of five qubits and gradually added more until the chain reached 21 qubits.<\/p>\n\n\n\n<p>As the chain gained more and more qubits, it became more robust, with the error rate between the five-chain and the 21-chain decreasing by a factor of 100. Errors still occurred, however, so the error correction was not error-free, and performance remained stable for up to 50 rounds of error checking.<\/p>\n\n\n\n<p>Errors also occurred in the second error correction configuration, but most were caught, and the exact nature of the errors was generally derivable. Since the setup requires a more precise geometry to work, the team did not extend them beyond a limited number of qubits.<\/p>\n\n\n\n<p>Ultimately, the entire system was in part extremely underperforming: the researchers attribute the underperformance to the effects of cosmic rays or local radiation sources hitting the chip.<\/p>\n\n\n\n<p>Although the problems are not widespread, they are a problem and will increase as the number of qubits continues to grow, simply because the processors will be an ever-growing target.<\/p>\n\n\n\n<p>Even with a 21 qubit chain, the error rate at the end was about one in 100,000 operations, which is enough to expect that a calculation can be continued to catch and correct errors.<\/p>\n\n\n\n<p>All 21 qubits were used to encode a single logical qubit. Even the largest of the current processors could only hold two qubits with these systems.<\/p>\n\n\n<p>For more information, read the <a href=\"https:\/\/arstechnica.com\/science\/2021\/07\/google-tries-out-error-correction-on-its-quantum-processor\/\" target=\"_blank\" rel=\"noopener\">original story<\/a> in Arstechnica.<\/p>","protected":false},"excerpt":{"rendered":"<p>Google experiments with error correction on its quantum processor.<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[21],"tags":[],"class_list":["post-8542","post","type-post","status-publish","format-standard","hentry","category-emerging-tech"],"acf":[],"_links":{"self":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts\/8542","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/comments?post=8542"}],"version-history":[{"count":4,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts\/8542\/revisions"}],"predecessor-version":[{"id":8560,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts\/8542\/revisions\/8560"}],"wp:attachment":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/media?parent=8542"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/categories?post=8542"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/tags?post=8542"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}