01642nam0 22003733i 450 VAN0027614120240806101544.396N978365837616120240521d2022 |0itac50 baengDE|||| |||||Reinforcement Learning with Hybrid Quantum Approximation in the NISQ ContextLeonhard KunczikWiesbadenSpringer Vieweg2022xviii, 134 p.ill.24 cm68-XXComputer science [MSC 2020]VANC019670MF81-XXQuantum theory [MSC 2020]VANC019967MF97-XXMathematics education [MSC 2020]VANC023813MFAttacker-Defender ScenariosKW:KQuanten ComputingKW:KQuantum Reinforcement LearningKW:KQuantum machine learningKW:KReinforcement LearningKW:KDEWiesbadenVANL000457KunczikLeonhardVANV2288381239763Springer <editore>VANV108073650ITSOL20241115RICAhttps://doi.org/10.1007/978-3-658-37616-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00276141BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-Book 8569 08eMF8569 20240604 Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context2876327UNICAMPANIA