LEADER 00846nam0-2200313---450- 001 990009715680403321 005 20140122182250.0 035 $a000971568 035 $aFED01000971568 035 $a(Aleph)000971568FED01 035 $a000971568 100 $a20130415d1945----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aCostruttori e distruttori$fCarlo Sforza 210 $aRoma$cDe Luigi$d1945 215 $a406 p.$d23 cm 225 1 $a<>pleiade$v2 610 0 $aStoria moderna e contemporanea 676 $a940.28$v19$zita 700 1$aSforza,$bCarlo$f<1872-1952>$0319552 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a990009715680403321 952 $aXIV B 79$b4792$fFSPBC 959 $aFSPBC 996 $aCostruttori e distruttori$9844066 997 $aUNINA LEADER 02231nam 2200553 450 001 9910460527003321 005 20200520144314.0 010 $a1-4629-1492-6 035 $a(CKB)3710000000448838 035 $a(EBL)3564882 035 $a(SSID)ssj0001576133 035 $a(PQKBManifestationID)16245306 035 $a(PQKBTitleCode)TC0001576133 035 $a(PQKBWorkID)14854591 035 $a(PQKB)11458880 035 $a(MiAaPQ)EBC3564882 035 $a(Au-PeEL)EBL3564882 035 $a(CaPaEBR)ebr11079686 035 $a(OCoLC)932321145 035 $a(EXLCZ)993710000000448838 100 $a20150731h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aContinuing Korean /$fby Ross King and Jaehoon Yeon, PhD, with Insun Lee 205 $aSecond edition. 210 1$aTokyo, Japan ;$aRutland, Vermont ;$aSingapore :$cTuttle Publishing,$d2015. 210 4$dİ2015 215 $a1 online resource (449 p.) 300 $aDescription based upon print version of record. 311 $a0-8048-4515-8 327 $a""Frontcover""; ""Title Page""; ""Copyright""; ""Contents""; ""How to Download the Bonus Material of this Book""; ""Preface""; ""About This Book""; ""Cast of Characters""; ""Lesson 16""; ""Lesson 17""; ""Lesson 18""; ""Lesson 19""; ""Lesson 20""; ""Lesson 21""; ""Lesson 22""; ""Lesson 23""; ""Lesson 24""; ""Lesson 25""; ""Lesson 26""; ""Lesson 27""; ""Lesson 28""; ""Lesson 29""; ""Lesson 30""; ""Korean to English Vocabulary""; ""English to Korean Vocabulary""; ""Korean to English Pattern Glossary""; ""English to Korean Pattern Glossary""; ""English Equivalents to the Korean Dialogues"" 327 $a""Answer Key to Written Exercises""""About the Authors"" 606 $aKorean language$vTextbooks for foreign speakers$xEnglish 608 $aElectronic books. 615 0$aKorean language$xEnglish. 676 $a495.6/82421 700 $aKing$b Ross$0556499 702 $aYeon$b Jaehoon 702 $aLee$b Insun 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910460527003321 996 $aContinuing Korean$92165676 997 $aUNINA LEADER 04159nam 22006375 450 001 9910427689803321 005 20250610110618.0 010 $a3-030-52715-8 024 7 $a10.1007/978-3-030-52715-0 035 $a(CKB)4100000011401215 035 $a(MiAaPQ)EBC6320911 035 $a(DE-He213)978-3-030-52715-0 035 $a(PPN)250215411 035 $a(MiAaPQ)EBC6320719 035 $a(MiAaPQ)EBC29093152 035 $a(EXLCZ)994100000011401215 100 $a20200827d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural-Network Simulation of Strongly Correlated Quantum Systems /$fby Stefanie Czischek 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (212 pages) $cillustrations 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 311 08$a3-030-52714-X 327 $aIntroduction -- Quantum Mechanics and Spin Systems -- Arti?cial Neural Networks -- Discrete Truncated Wigner Approximation -- BM-Based Wave Function Parametrization -- Deep Neural Networks and Phase Reweighting -- Towards Neuromorphic Sampling of Quantum States -- Conclusion. 330 $aQuantum systems with many degrees of freedom are inherently difficult to describe and simulate quantitatively. The space of possible states is, in general, exponentially large in the number of degrees of freedom such as the number of particles it contains. Standard digital high-performance computing is generally too weak to capture all the necessary details, such that alternative quantum simulation devices have been proposed as a solution. Artificial neural networks, with their high non-local connectivity between the neuron degrees of freedom, may soon gain importance in simulating static and dynamical behavior of quantum systems. Particularly promising candidates are neuromorphic realizations based on analog electronic circuits which are being developed to capture, e.g., the functioning of biologically relevant networks. In turn, such neuromorphic systems may be used to measure and control real quantum many-body systems online. This thesis lays an important foundation for the realization of quantum simulations by means of neuromorphic hardware, for using quantum physics as an input to classical neural nets and, in turn, for using network results to be fed back to quantum systems. The necessary foundations on both sides, quantum physics and artificial neural networks, are described, providing a valuable reference for researchers from these different communities who need to understand the foundations of both. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aQuantum theory 606 $aMachine learning 606 $aNeural networks (Computer science) 606 $aCondensed matter 606 $aQuantum Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19080 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 606 $aCondensed Matter Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P25005 615 0$aQuantum theory. 615 0$aMachine learning. 615 0$aNeural networks (Computer science) 615 0$aCondensed matter. 615 14$aQuantum Physics. 615 24$aMachine Learning. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aCondensed Matter Physics. 676 $a530.12 700 $aCzischek$b Stefanie$4aut$4http://id.loc.gov/vocabulary/relators/aut$0843414 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427689803321 996 $aNeural-Network Simulation of Strongly Correlated Quantum Systems$91882031 997 $aUNINA