{"id":130141,"date":"2024-07-20T10:00:48","date_gmt":"2024-07-20T07:00:48","guid":{"rendered":"https:\/\/coinmuhendisi.com\/blog\/?p=130141"},"modified":"2024-07-20T09:22:25","modified_gmt":"2024-07-20T06:22:25","slug":"nvidia-arastirmacilari-islevsel-kuantum-bilgisayara-dogru-buyuk-adimlar-atiyor","status":"publish","type":"post","link":"https:\/\/coinmuhendisi.com\/blog\/nvidia-arastirmacilari-islevsel-kuantum-bilgisayara-dogru-buyuk-adimlar-atiyor\/","title":{"rendered":"Nvidia Ara\u015ft\u0131rmac\u0131lar\u0131 \u0130\u015flevsel Kuantum Bilgisayara Do\u011fru B\u00fcy\u00fck Ad\u0131mlar At\u0131yor"},"content":{"rendered":"

Nvidia<\/strong> ara\u015ft\u0131rmac\u0131lar\u0131, grafik i\u015flem birimlerinde (GPU) \u00e7al\u0131\u015ft\u0131r\u0131lan s\u00fcper bilgisayar sim\u00fclasyonlar\u0131na dayanarak, ticari olarak uygulanabilir bir kuantum bilgisayara do\u011fru \u00f6nemli ilerleme kaydettiklerini iddia ediyor. Bu geli\u015fme, i\u015flevsel bir kuantum bilgisayar in\u015fa etme \u00e7abalar\u0131nda bir d\u00f6n\u00fcm noktas\u0131d\u0131r.<\/p>\n

Kuantum bilgisayarlar,<\/strong> geleneksel bilgisayarlardan temel olarak farkl\u0131 \u00e7al\u0131\u015f\u0131r. Geleneksel bilgisayarlar ikili anahtarlar kullanarak hesaplamalar yaparken, kuantum bilgisayarlar kuantum fizi\u011fine dayanan qubitleri kullanarak \u00e7ok daha karma\u015f\u0131k hesaplamalar yapar.<\/p>\n

Kuantum bilgisayarlar\u0131n geli\u015ftirilmesi, bir\u00e7ok tekni\u011fin ara\u015ft\u0131r\u0131ld\u0131\u011f\u0131 bir s\u00fcre\u00e7 olarak on y\u0131llard\u0131r devam etmektedir. \u015eu anda en s\u0131k ara\u015ft\u0131r\u0131lan iki teknik: her birinin benzersiz \u00f6zellikleri ve olas\u0131 uygulamalar\u0131 olan kuantum tavlama ve kuantum kap\u0131lama.<\/p>\n

GPU’larla Kuantum Tavlama Sistemlerini Sim\u00fcle Etme<\/h3>\n

Yapay zeka ve oyun alan\u0131ndaki GPU deneyimini kullanarak Nvidia<\/strong>, bir kuantum tavlama sistemi geli\u015ftirmeye odaklanmaktad\u0131r. Firma, s\u00fcper bilgisayar sim\u00fclasyonlar\u0131 arac\u0131l\u0131\u011f\u0131yla y\u00fcr\u00fct\u00fclen kuantum bilgisayar ara\u015ft\u0131rmalar\u0131nda GPU’lar\u0131 yarat\u0131c\u0131 bir \u015fekilde kullanarak bu alanda kendini farkl\u0131la\u015ft\u0131r\u0131yor.<\/p>\n

Nvidia<\/strong>, yak\u0131n zamanda yay\u0131mlanan bir ara\u015ft\u0131rma makalesinde, bir\u00e7ok k\u00fcmede y\u00fcz binlerce GPU’nun bir kuantum tavlama sisteminin davran\u0131\u015f\u0131n\u0131 taklit etmek i\u00e7in nas\u0131l kullan\u0131ld\u0131\u011f\u0131n\u0131 a\u00e7\u0131klad\u0131. Genellikle CPU k\u00fcmeleriyle s\u00fcper bilgisayarlarda \u00e7al\u0131\u015ft\u0131r\u0131lan bu sim\u00fclasyonlar, Nvidia’n\u0131n GPU’lar\u0131n\u0131n \u00f6zel g\u00fcc\u00fcnden yararland\u0131.<\/p>\n

Bu Dikkatinizi \u00c7ekebilir: GTA 6 \u0130\u00e7in Kripto Entegrasyonu S\u00f6ylentisi
\n<\/span><\/em><\/a><\/p>\n

Ara\u015ft\u0131rma, kuantum bilgisayarlarda kullan\u0131lan manyetik par\u00e7ac\u0131klar\u0131n ani davran\u0131\u015f de\u011fi\u015fiklikleri sergiledi\u011fi temel bir sorunu ele ald\u0131. Nvidia’n\u0131n sim\u00fclasyonlar\u0131 sayesinde, ekip manyetik alan manip\u00fclasyonunu i\u00e7eren bir y\u00f6ntem \u00f6nererek tam hizmet veren kuantum tavlay\u0131c\u0131lar\u0131n ger\u00e7e\u011fe daha yak\u0131n hale gelmesini sa\u011flad\u0131.<\/p>\n

Kuantum Tavlama Sistemlerinin Potansiyel Uygulamalar\u0131<\/h3>\n

Genel g\u00f6revler i\u00e7in tasarlanm\u0131\u015f kap\u0131 tabanl\u0131 kuantum bilgisayarlardan farkl\u0131 olarak, kuantum tavlama sistemleri belirli optimizasyon sorunlar\u0131n\u0131 \u00e7\u00f6zmek i\u00e7in tasarlanm\u0131\u015ft\u0131r. Bu \u00f6zel sistemler, kuantum alg\u0131lama, ula\u015f\u0131m, nakliye ve lojistik, enerji, finans ve blockchain gibi sekt\u00f6rleri d\u00f6n\u00fc\u015ft\u00fcrebilir.<\/p>\n

\u00d6rne\u011fin finans alan\u0131nda, kuantum bilgisayarlar \u00e7e\u015fitlendirme, portf\u00f6y y\u00f6netimi ve tahmin do\u011frulu\u011funu b\u00fcy\u00fck \u00f6l\u00e7\u00fcde art\u0131rabilir. Nvidia’n\u0131n ara\u015ft\u0131rma ve geli\u015ftirmeye devam etmesiyle, kuantum tavlama sistemlerinin potansiyel kullan\u0131mlar\u0131 bir\u00e7ok alanda geni\u015f etkiler yaratabilir.<\/p>\n","protected":false},"excerpt":{"rendered":"

Nvidia ara\u015ft\u0131rmac\u0131lar\u0131, grafik i\u015flem birimlerinde (GPU) \u00e7al\u0131\u015ft\u0131r\u0131lan s\u00fcper bilgisayar sim\u00fclasyonlar\u0131na dayanarak, ticari olarak uygulanabilir bir kuantum bilgisayara do\u011fru \u00f6nemli ilerleme kaydettiklerini iddia ediyor. Bu geli\u015fme, i\u015flevsel bir kuantum bilgisayar in\u015fa etme \u00e7abalar\u0131nda bir d\u00f6n\u00fcm noktas\u0131d\u0131r. Kuantum bilgisayarlar, geleneksel bilgisayarlardan temel olarak farkl\u0131 \u00e7al\u0131\u015f\u0131r. Geleneksel bilgisayarlar ikili anahtarlar kullanarak hesaplamalar yaparken, kuantum bilgisayarlar kuantum fizi\u011fine dayanan<\/p>\n","protected":false},"author":4,"featured_media":130147,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1512],"tags":[4242,16228],"class_list":["post-130141","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-haber","tag-nvidia","tag-quantum-bilgisayar"],"yoast_head":"\nNvidia Ara\u015ft\u0131rmac\u0131lar\u0131 \u0130\u015flevsel Kuantum Bilgisayara Do\u011fru B\u00fcy\u00fck Ad\u0131mlar At\u0131yor<\/title>\n<meta name=\"description\" content=\"Nvidia, GPU tabanl\u0131 sim\u00fclasyonlarla ticari kuantum bilgisayar geli\u015ftirme konusunda b\u00fcy\u00fck ad\u0131mlar att\u0131\u011f\u0131n\u0131 duyurdu.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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