{"id":6086,"date":"2024-10-04T11:30:08","date_gmt":"2024-10-04T09:30:08","guid":{"rendered":"https:\/\/www.qilimanjaro.tech\/?p=6086"},"modified":"2026-02-17T12:49:07","modified_gmt":"2026-02-17T11:49:07","slug":"analogs-quantum-computing-potential-in-real-world-applications","status":"publish","type":"post","link":"https:\/\/qilimanjaro.tech\/ca\/analogs-quantum-computing-potential-in-real-world-applications\/","title":{"rendered":"El Potencial de la Computaci\u00f3 Qu\u00e0ntica Anal\u00f2gica en Aplicacions del M\u00f3n Real"},"content":{"rendered":"
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Els ordinadors qu\u00e0ntics anal\u00f2gics, que operen aprofitant el comportament natural dels sistemes qu\u00e0ntics, han mostrat un gran potencial per resoldre problemes complexos relacionats amb la simulaci\u00f3, l'optimitzaci\u00f3 i la intel\u00b7lig\u00e8ncia artificial. En proporcionar representacions precises dels sistemes qu\u00e0ntics, tenen el potencial d'excel\u00b7lir all\u00e0 on els ordinadors tradicionals tenen dificultats, especialment en simulacions a gran escala i problemes d'optimitzaci\u00f3 NP-dif\u00edcils.<\/p>\n

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Simulaci\u00f3 de Sistemes Qu\u00e0ntics Complexos<\/h2>\n

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Molts camps cient\u00edfics, com la f\u00edsica, la qu\u00edmica i la ci\u00e8ncia dels materials, depenen de simulacions per entendre millor el m\u00f3n natural. Els ordinadors cl\u00e0ssics, per\u00f2, s'enfronten a limitacions en intentar simular sistemes massa complexos, ja que la seva l\u00f2gica cl\u00e0ssica no es pot aprofitar amb precisi\u00f3 per simular un problema de mec\u00e0nica qu\u00e0ntica. Els ordinadors qu\u00e0ntics anal\u00f2gics, en canvi, poden representar directament la descripci\u00f3 matem\u00e0tica dels sistemes qu\u00e0ntics, proporcionant resultats m\u00e9s precisos i fins i tot simulant problemes que actualment estan fora del nostre abast.<\/p>\n

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Una \u00e0rea clau d'inter\u00e8s \u00e9s la f\u00edsica de molts cossos, que estudia com interactuen grans grups de part\u00edcules. Aquestes interaccions donen lloc a fen\u00f2mens \u00fanics que els m\u00e8todes cl\u00e0ssics tenen dificultats per modelar amb precisi\u00f3. Un d'aquests models \u00e9s el model d'Ising transversal (TFIM), que s'utilitza sovint per simular sistemes qu\u00e0ntics de molts cossos. Si b\u00e9 els TFIM s\u00f3n potents, no poden representar totes les interaccions en els sistemes qu\u00e0ntics. Aqu\u00ed \u00e9s on entra la nostra experi\u00e8ncia a Qilimanjaro: hem desenvolupat m\u00e8todes per simular una varietat de sistemes de molts cossos m\u00e9s enll\u00e0 del TFIM, ampliant les capacitats del maquinari d'escalfament qu\u00e0ntic per abordar simulacions m\u00e9s complexes (1).<\/p>\n

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Optimitzaci\u00f3<\/h2>\n

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Els problemes d'optimitzaci\u00f3, on l'objectiu \u00e9s trobar la millor soluci\u00f3 possible, poden ser extremadament dif\u00edcils de resoldre a mesura que creixen en complexitat. Molts d'aquests problemes cauen sota la categoria NP-hard, cosa que significa que s\u00f3n computacionalment intensius per als m\u00e8todes cl\u00e0ssics. Els ordinadors qu\u00e0ntics anal\u00f2gics ofereixen una soluci\u00f3 natural per a aquests problemes, especialment a trav\u00e9s de l'\u00fas de l'escalat qu\u00e0ntic per trobar l'estat d'energia m\u00ednima, que representa la soluci\u00f3 \u00f2ptima.<\/p>\n

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A Qilimanjaro, hem aplicat aquestes capacitats a reptes del m\u00f3n real en els sectors energ\u00e8tic i log\u00edstic. En el sector energ\u00e8tic, el nostre algorisme inspirat en la computaci\u00f3 qu\u00e0ntica s'ha utilitzat per abordar el problema del preu del mercat a un dia vista, reduint els costos computacionals en un 70 % mentre es mant\u00e9 la precisi\u00f3. En el sector log\u00edstic, hem redu\u00eft significativament el temps d'execuci\u00f3 i els costos en els sistemes de despatx d'emmagatzematge, demostrant l'impacte pr\u00e0ctic de la computaci\u00f3 qu\u00e0ntica en l'optimitzaci\u00f3 a gran escala (2).<\/p>\n

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Intel\u00b7lig\u00e8ncia artificial<\/h2>\n

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A mesura que els models d'IA creixen en mida i complexitat, l'entrenament d'aquests sistemes requereix vastos recursos computacionals. La traject\u00f2ria actual de la computaci\u00f3 cl\u00e0ssica \u00e9s insostenible pel que fa al consum d'energia. No obstant aix\u00f2, els enfocaments h\u00edbrids qu\u00e0ntics-cl\u00e0ssics mostren una promesa significativa en aquesta \u00e0rea. Els ordinadors qu\u00e0ntics anal\u00f2gics poden jugar un paper crucial en l'entrenament de models d'IA de manera m\u00e9s eficient.<\/p>\n

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A Qilimanjaro, hem desenvolupat un enfocament h\u00edbrid conegut com la M\u00e0quina d'Aprenentatge Extrema qu\u00e0ntica (QELM), que ha demostrat resultats notables en tasques de classificaci\u00f3 d'imatges. En combinar el processament qu\u00e0ntic amb m\u00e8todes cl\u00e0ssics, el nostre algorisme va assolir una precisi\u00f3 impressionant d'aproximadament 98%, superant els enfocaments cl\u00e0ssics que van arribar al 94%. Aix\u00f2 obre noves possibilitats per aplicar t\u00e8cniques qu\u00e0ntiques a la IA, incloent-hi \u00e0mbits com la f\u00edsica d'altes energies, on tenim previst utilitzar QELM per a la detecci\u00f3 de part\u00edcules (3).<\/p>\n

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Un Futur Sostenible a trav\u00e9s de la Innovaci\u00f3 Qu\u00e0ntica<\/h2>\n

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La computaci\u00f3 qu\u00e0ntica anal\u00f2gica presenta un enfocament viable per resoldre reptes que els ordinadors cl\u00e0ssics no poden gestionar de manera eficient, ja sigui mitjan\u00e7ant simulacions m\u00e9s precises, processos industrials optimitzats o entrenament d'IA de baix consum energ\u00e8tic.<\/p>\n

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La nostra investigaci\u00f3 i desenvolupament continus a Qilimanjaro demostren com la computaci\u00f3 qu\u00e0ntica anal\u00f2gica pot millorar els processos, reduir les despeses computacionals i obrir el cam\u00ed cap a un futur m\u00e9s sostenible i eficient.<\/p>\n


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\u2013<\/p>\n

(1) Matthias Werner, Artur Garc\u00eda-S\u00e1ez, Marta P. Estarellas. <\/span>\u201c<\/span>Simulaci\u00f3 qu\u00e0ntica de sistemes fermi\u00f2nics unidimensionals amb Hamiltonians d'Ising\u201c<\/span><\/a>, <\/span>Universitat Cornell. <\/span>(2024)<\/span><\/p>\n

(2) Andr\u00e9s N. C\u00e1liz<\/span>, <\/span>Jordi Riu<\/span>, <\/span>Josep Bosch<\/span>, <\/span>Pau Torrente<\/span>, <\/span>Jose Miralles<\/span>, <\/span>Arnau Riera<\/span>. <\/span>\u201cUn enfocament coherent a l'optimitzaci\u00f3 qu\u00e0ntico-cl\u00e0ssica<\/span><\/a>\u201d. <\/span>Universitat Cornell. <\/span>(2024)<\/span><\/p>

(3) <\/span>A. De Lorenzis<\/span>, <\/span>M. P. Casado<\/span>, <\/span>M. P. Estarellas<\/span>, <\/span>N. Lo Gullo<\/span>, <\/span>T. Lux<\/span>, <\/span>F. Plastina<\/span>, <\/span>A. Riera<\/span>, <\/span>J. Settino.<\/span> \u201cAprofitament de les m\u00e0quines qu\u00e0ntiques d'aprenentatge extrem per a la classificaci\u00f3 d'imatges<\/span><\/a>\u201d. <\/span>Universitat Cornell. <\/span>(2024)<\/span><\/p>\n

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<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Analog quantum computers, which operate by leveraging the natural behavior of quantum systems, have shown great promise for solving complex simulation, optimization, and AI-related problems. By providing precise representations of quantum systems, they hold the potential to excel where traditional computers struggle \u2014especially when it comes to large-scale simulations and NP-hard optimization problems. Simulation of […]<\/p>\n","protected":false},"author":3,"featured_media":6219,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-6086","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science"],"yoast_head":"\nAnalog\u2019s Quantum Computing Potential in Real-World Applications - Qilimanjaro<\/title>\n<meta name=\"description\" content=\"Discover how analog quantum computing solves complex simulations, optimization, and AI challenges, driving real-world innovation.\" \/>\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\/analogs-quantum-computing-potential-in-real-world-applications\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Analog\u2019s Quantum Computing Potential in Real-World Applications - 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