LEADER 01703nam 2200469 450 001 996479368903316 005 20230726164502.0 010 $a9783658376161$b(electronic bk.) 010 $z9783658376154 035 $a(MiAaPQ)EBC7007372 035 $a(Au-PeEL)EBL7007372 035 $a(CKB)23114194200041 035 $aEBL7007372 035 $a(AU-PeEL)EBL7007372 035 $a(PPN)269148957 035 $a(EXLCZ)9923114194200041 100 $a20221219d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aReinforcement learning with hybrid quantum approximation in the NISQ context /$fLeonhard Kunczik 210 1$aWiesbaden, Germany :$cSpringer Vieweg,$d[2022] 210 4$d©2022 215 $a1 online resource (145 pages) 300 $aDescription based upon print version of record. 311 08$aPrint version: Kunczik, Leonhard Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context Wiesbaden : Springer Fachmedien Wiesbaden GmbH,c2022 9783658376154 320 $aIncludes bibliographical references. 606 $aQuantum computing 606 $aAprenentatge per reforç (Intel·ligència artificial)$2thub 608 $aLlibres electrònics$2thub 615 0$aQuantum computing. 615 7$aAprenentatge per reforç (Intel·ligència artificial) 676 $a006.31 700 $aKunczik$b Leonhard$01239763 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a996479368903316 996 $aReinforcement Learning with Hybrid Quantum Approximation in the NISQ Context$92876327 997 $aUNISA