Ci gaban abin da ake kira intanet na quantum na iya ganin ci gaba mai mahimmanci, masana sun bayyana.
Bincike daga wata tawagar Jami'ar Simon Fraser a British Columbia, Kanada da aka buga a cikin mujallar kimiyya Nature (yana buɗewa a sabon shafin) yana ba da tabbacin ƙa'ida cewa cibiyoyin T, ƙayyadaddun lahani mai haske a cikin silicon, na iya samar da 'hanyar hoto' tsakanin qubits (kwararriyar ƙididdiga ta ƙididdigewa zuwa lambar binary ko bit of classical computing).
Kamar yadda nasarar yin amfani da fasahar ƙididdigewa zai amfana daga fasahar sadarwa wanda ke ba wa waɗannan qubits damar haɗuwa tare a sikelin, wannan na iya zama babban ci gaba.
Mene ne wannan yake nufi?
Idan ana so a yi imani da binciken, waɗannan “cibiyoyin T” suna da fa'idar fitar da haske daidai da tsawon lokacin da hanyoyin sadarwa na fiber na birni da na'urorin sadarwar sadarwa ke amfani da su a yau.
Don haka a cewar Stephanie Simmons, Shugaban Bincike na Kanada a Silicon Quantum Technologies wannan yana nufin za ku iya "gina na'urori masu sarrafawa waɗanda ke sadarwa tare da sauran masu sarrafawa" da "lokacin da silicon qubit ɗin ku zai iya sadarwa ta hanyar fitar da photons (haske) a cikin rukunin da aka yi amfani da shi a cibiyoyin bayanai. da fiber networks, kuna samun waɗannan fa'idodin guda ɗaya don haɗa miliyoyin qubits da ake buƙata don ƙididdige ƙididdigewa”.
Ba da izinin ƙididdige ƙididdiga don amfani da fasahar sadarwar da ake amfani da ita a cikin ma'auni mai yawa a duniyar ƙirar silicon na gargajiya na iya zama babban mataki ga fasahar da ke tasowa.
Wannan ba ita ce sanarwar kaɗai ba a cikin 'yan makonnin nan da ke nuna duniyoyin ƙididdiga da ƙididdiga na gargajiya na iya zama shiftkusa da juna.
An yi wa lakabi da Nvidia Quantum Optimized Na'ura Architecture, ko QODA a takaice, Nvidia ta sanar da wani sabon dandali da ta ce yana da nufin sanya kididdigar lissafi ta fi dacewa ta hanyar ƙirƙirar ƙirar ƙirar ƙira-classical na zamani.
Masu amfani da ke aiki akan ayyukan HPC da AI a fili za su iya amfani da dandamali don ƙara ƙididdigar ƙididdiga zuwa aikace-aikacen da ake da su, ta amfani da na'urori masu sarrafa ƙididdiga na yanzu, da kuma na'urorin ƙididdigewa na gaba.
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