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Apprendimento automatico quantistico
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ISBN10: 6209467407
ISBN13: 9786209467400
Publisher: Edizioni Sapienza
Published: Jan 13 2026
Pages: 84
Weight: 0.27
Height: 0.20 Width: 6.00 Depth: 9.00
Language: Italian
ISBN13: 9786209467400
Publisher: Edizioni Sapienza
Published: Jan 13 2026
Pages: 84
Weight: 0.27
Height: 0.20 Width: 6.00 Depth: 9.00
Language: Italian
La convergenza dell'informatica quantistica e dell'apprendimento automatico segna uno dei cambiamenti più profondi nella storia della computazione. Mentre gli algoritmi classici iniziano a sforzarsi sotto il peso della complessità dei dati, della dimensionalità e della richiesta di energia, l'apprendimento automatico quantistico (QML) emerge non solo come un aggiornamento tecnologico, ma come un salto concettuale. Questo libro, Quantum Machine Learning: Bridging Qubits and Algorithms for the Next AI Revolution, nasce dalla convinzione che il futuro dell'intelligenza artificiale risieda nella logica invischiata dei sistemi quantistici e nell'intelligenza adattiva degli algoritmi di apprendimento. Il viaggio nel QML non riguarda solo la velocità di calcolo o la fisica esotica: si tratta di ripensare il modo in cui le macchine imparano, ragionano ed evolvono. I sistemi quantistici offrono un substrato radicalmente diverso per l'elaborazione delle informazioni: probabilistico, parallelo e intrinsecamente ad alta dimensionalità . Se combinati con i principi dell'apprendimento supervisionato, non supervisionato e di rinforzo, questi sistemi possono sbloccare nuove capacità di riconoscimento dei modelli, ottimizzazione, modellazione generativa e processo decisionale.
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