{"id":16906,"date":"2026-06-22T14:50:03","date_gmt":"2026-06-22T12:50:03","guid":{"rendered":"https:\/\/qilimanjaro.tech\/?p=16906"},"modified":"2026-06-22T16:06:00","modified_gmt":"2026-06-22T14:06:00","slug":"nvidia-cuda-q-comes-to-qilisdk-upgrade-brings-gpu-power-to-qilimanjaros-multimodal-quantum-stack","status":"publish","type":"post","link":"https:\/\/qilimanjaro.tech\/ca\/nvidia-cuda-q-comes-to-qilisdk-upgrade-brings-gpu-power-to-qilimanjaros-multimodal-quantum-stack\/","title":{"rendered":"NVIDIA CUDA-Q arriba a QiliSDK: L'actualitzaci\u00f3 aporta la pot\u00e8ncia de la GPU a la pila qu\u00e0ntica multimodal de Qilimanjaro"},"content":{"rendered":"
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Una nova versi\u00f3 del framework de Python facilitar\u00e0 als desenvolupadors de programari i als equips d'HPC emular el rendiment del maquinari qu\u00e0ntic<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Barcelona, juny de 2026 \u2014 El kit d'eines de desenvolupament de programari de Qilimanjaro Quantum Tech, anomenat QiliSDK, s'ha integrat amb NVIDIA CUDA-Q, la plataforma per a la computaci\u00f3 qu\u00e0ntica-cl\u00e0ssica. Aquesta actualitzaci\u00f3 proporciona als investigadors acceleraci\u00f3 de GPU per a l'emulaci\u00f3 a escala de producci\u00f3 de fluxos de treball qu\u00e0ntics en maquinari cl\u00e0ssic. L'enfocament multimodal \u00fanic de Qilimanjaro ara s'est\u00e9n a trav\u00e9s de backends cl\u00e0ssics i qu\u00e0ntics, des de CPUs i GPUs fins a QPUs anal\u00f2gics i digitals.\u00a0<\/span><\/p>

Aquesta actualitzaci\u00f3 de QiliSDK \u00e9s especialment rellevant per als centres HPC. Aquests usuaris, incl\u00f2s l'equip del Barcelona Supercomputing Center on Qilimanjaro ha instal\u00b7lat tres ordinadors qu\u00e0ntics, treballen regularment amb GPU NVIDIA i ara poden utilitzar aquest maquinari per executar simulacions CUDA-Q grans directament des de QiliSDK. QiliSDK permet als investigadors utilitzar la mateixa biblioteca per executar algorismes en maquinari qu\u00e0ntic real (digital i anal\u00f2gic) i executar emulaci\u00f3 qu\u00e0ntica en recursos cl\u00e0ssics.\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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El futur de la computaci\u00f3 ser\u00e0 multimodal, combinant superordinadors amb acceleraci\u00f3 qu\u00e0ntica, tant digital com anal\u00f2gica. <\/span>Aquesta actualitzaci\u00f3 de QiliSDK ajuda els usuaris a integrar totes aquestes modalitats cl\u00e0ssiques i qu\u00e0ntiques sota un \u00fanic punt d'entrada, apropant aquesta visi\u00f3 multimodal a la realitat.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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Marta P. Estarellas<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Conseller delegat de Qilimanjaro Quantum Tech<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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La majoria del programari qu\u00e0ntic s'executa en un sol tipus de maquinari qu\u00e0ntic, ja sigui digital o anal\u00f2gic, o en emuladors cl\u00e0ssics. QiliSDK s'executa en m\u00faltiples backends: CPU, GPU, QPUs digitals (dQPU) i QPUs anal\u00f2gics de Qilimanjaro (aQPU). Aix\u00f2 impulsa la visi\u00f3 de Qilimanjaro de la propera fase del c\u00e0lcul: el futur de la supercomputaci\u00f3 ser\u00e0 multimodal.\u00a0\u00a0\u00a0<\/span><\/p>

QiliSDK \u00e9s el marc de Python de Qilimanjaro per desenvolupar, executar i emular algoritmes qu\u00e0ntics digitals i anal\u00f2gics. El seu disseny modular facilita la creaci\u00f3 de prototips de circuits, la construcci\u00f3 d'Hamiltonians, el disseny de fluxos de treball variacionals i models de reservori qu\u00e0ntic, per despr\u00e9s desplegar-los en backends locals o remots, cl\u00e0ssics o qu\u00e0ntics.\u00a0<\/span><\/p>

QiliSDK inclou ara una llista completa de backends CUDA-Q i models de soroll, aix\u00ed com connectors QIR i OpenQASM3. Aix\u00f2 permet als usuaris d'altres biblioteques de programari portar el seu codi i beneficiar-se de la integraci\u00f3.\u00a0<\/span><\/p>

L'emulaci\u00f3 cl\u00e0ssica \u00e9s una part vital de com treballen els equips qu\u00e0ntics. Abans d'executar res en maquinari real, els equips utilitzen l'emulaci\u00f3 per prototipar circuits, estudiar el comportament del sistema, caracteritzar el soroll i establir els punts de refer\u00e8ncia amb qu\u00e8 es mesuren els resultats qu\u00e0ntics. Tamb\u00e9 gestiona el costat cl\u00e0ssic dels fluxos de treball h\u00edbrids, el pre- i post-processament que envolta cada trucada qu\u00e0ntica. Afegir la pot\u00e8ncia computacional de la computaci\u00f3 accelerada de NVIDIA a aquest flux de treball afegeix eines m\u00e9s potents al proc\u00e9s.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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Cada superordinador futur utilitzar\u00e0 processadors qu\u00e0ntics per expandir el que \u00e9s possible amb la inform\u00e0tica. Per comen\u00e7ar a construir avui els superordinadors qu\u00e0ntics-GPU de dem\u00e0, els investigadors necessiten eines com QiliSDK, que aprofita CUDA-Q per al rendiment accelerat per GPU necessari per entendre sistemes qu\u00e0ntics-cl\u00e0ssics veritablement h\u00edbrids.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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Sam Stanwyck<\/strong><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Director de Productes Qu\u00e0ntics a NVIDIA<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Emular un estat qu\u00e0ntic en un ordinador cl\u00e0ssic requereix recursos exponencialment grans a mesura que augmenta el nombre de qubits. En una CPU, aix\u00f2 es pot aconseguir f\u00e0cilment fins a uns 25 qubits abans d'arribar als l\u00edmits de mem\u00f2ria i amplada de banda. En aquest punt, els temps d'execuci\u00f3 passen de segons a hores. Les GPU estan dissenyades per a aquest tipus de c\u00e0rrega de treball amb amplis busos de mem\u00f2ria, aritm\u00e8tica massiva paral\u00b7lela i topologies NVLink multi-GPU. M\u00e9s enll\u00e0 de la pot\u00e8ncia de la GPU individual, l'addici\u00f3 de xarxes de tensors o m\u00e8todes de mem\u00f2ria distribu\u00efda afegeix encara m\u00e9s capacitat. NVIDIA CUDA-Q proporciona una plataforma per desenvolupar fluxos de treball qu\u00e0ntics-cl\u00e0ssics h\u00edbrids, inclosa la manera m\u00e9s eficient d'aprofitar l'acceleraci\u00f3 de GPU per donar suport a les c\u00e0rregues de treball de computaci\u00f3 qu\u00e0ntica.<\/span><\/p>

Llegeix m\u00e9s aqu\u00ed: <\/b>Article t\u00e8cnic de bloc \u00a0<\/a><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Sobre Qilimanjaro Quantum Tech<\/b>\u00a0<\/span><\/p>

Amb seu a Barcelona, Qilimanjaro \u00e9s una empresa de computaci\u00f3 qu\u00e0ntica que aprofita els ordinadors qu\u00e0ntics \u00fatils mitjan\u00e7ant el desenvolupament dels xips qu\u00e0ntics anal\u00f2gics distintius de l'empresa. Fundada el 2019, Qilimanjaro construeix ordinadors qu\u00e0ntics de pila completa basats en qubits anal\u00f2gics fluxonium. Aquesta arquitectura innovadora evita la necessitat de correcci\u00f3 d'errors i desbloqueja solucions m\u00e9s r\u00e0pides i escalables. Els sistemes qu\u00e0ntics anal\u00f2gics proporcionen avantatges a curt termini en simulaci\u00f3, optimitzaci\u00f3 i IA, on les QPU digitals no arriben o requereixen una sobrec\u00e0rrega massiva. L'empresa segueix aquesta estrat\u00e8gia de doble tecnologia per ampliar l'acc\u00e9s als recursos de computaci\u00f3 qu\u00e0ntica ara. En primer lloc, la plataforma QaaS SpeQtrum proporciona acc\u00e9s remot a centres de dades qu\u00e0ntics h\u00edbrids que combinen computaci\u00f3 anal\u00f2gica, digital i cl\u00e0ssica. En segon lloc, els sistemes SpeQtrum on-premise de l'empresa ofereixen integraci\u00f3 qu\u00e0ntica modular i de pila completa tant per a QPU anal\u00f2giques com digitals per a centres HPC i institucions de recerca.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

A new version of the Python framework will make it easier for software developers and HPC teams to emulate the performance of quantum hardware Barcelona, June 2026 \u2014\u00a0 Qilimanjaro Quantum Tech\u2019s software development toolbox called QiliSDK is now integrated with NVIDIA CUDA-Q \u2013 the platform for quantum-classical computing. This upgrade provides researchers with GPU acceleration […]<\/p>\n","protected":false},"author":3,"featured_media":16937,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[43],"tags":[],"class_list":["post-16906","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-release"],"yoast_head":"\nNVIDIA CUDA-Q Comes to QiliSDK: Upgrade Brings GPU Power to Qilimanjaro\u2019s Multimodal Quantum Stack - Qilimanjaro<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/qilimanjaro.tech\/ca\/nvidia-cuda-q-comes-to-qilisdk-upgrade-brings-gpu-power-to-qilimanjaros-multimodal-quantum-stack\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA CUDA-Q Comes to QiliSDK: Upgrade Brings GPU Power to Qilimanjaro\u2019s Multimodal Quantum Stack - Qilimanjaro\" \/>\n<meta property=\"og:description\" content=\"A new version of the Python framework will make it easier for software developers and HPC teams to emulate the performance of quantum hardware Barcelona, June 2026 \u2014\u00a0 Qilimanjaro Quantum Tech\u2019s software development toolbox called QiliSDK is now integrated with NVIDIA CUDA-Q \u2013 the platform for quantum-classical computing. 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