LEADER 04120nam 22006135 450 001 996418432103316 005 20200827153241.0 010 $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(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$b[electronic resource] /$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 $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 physics 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 physics. 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 $a996418432103316 996 $aNeural-Network Simulation of Strongly Correlated Quantum Systems$91882031 997 $aUNISA LEADER 03581nam 2200697 450 001 9910815648403321 005 20200903223051.0 010 $a90-04-28257-2 024 7 $a10.1163/9789004282575 035 $a(CKB)3800000000006993 035 $a(EBL)1840864 035 $a(SSID)ssj0001367792 035 $a(PQKBManifestationID)11900074 035 $a(PQKBTitleCode)TC0001367792 035 $a(PQKBWorkID)11445162 035 $a(PQKB)10995841 035 $a(MiAaPQ)EBC1840864 035 $a(OCoLC)895254808 035 $a(nllekb)BRILL9789004282575 035 $a(Au-PeEL)EBL1840864 035 $a(CaPaEBR)ebr10984155 035 $a(CaONFJC)MIL662266 035 $a(PPN)184936322 035 $a(EXLCZ)993800000000006993 100 $a20141120h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDemocracy, emergency, and arbitrary coercion $ea liberal Republican view /$fby Nick C. Sagos 210 1$aLeiden, Netherlands :$cBrill,$d2015. 210 4$dİ2015 215 $a1 online resource (235 p.) 225 1 $aStudies in Moral Philosophy,$x2211-2014 ;$vVolume 7 300 $aDescription based upon print version of record. 311 $a1-322-30984-1 311 $a90-04-28254-8 320 $aIncludes bibliographical references and index. 327 $tPreliminary Material /$rNick C. Sagos -- $tIntroduction: Two Philosophical Ideals of Liberal Democracy /$rNick C. Sagos -- $tConstitutional Democracy and the Issue of Emergency /$rNick C. Sagos -- $tLaw and the Concept of Emergency /$rNick C. Sagos -- $tFormal and Informal Emergency /$rNick C. Sagos -- $tCatastrophe and Emergency /$rNick C. Sagos -- $tInstitutions, Rights, and Emergencies /$rNick C. Sagos -- $tAppendix: Notes on Methodology /$rNick C. Sagos -- $tBibliography /$rNick C. Sagos -- $tIndex /$rNick C. Sagos. 330 $aStates of emergency are declared by governments with alarming frequency. When they are declared, it is taken for granted that their nature is understood. This book argues against this established view. Instead, the view advanced here analyzes what makes emergencies different from other types of similar events. Defending a hybrid liberal/republican approach, the book proposes that states of emergency are in fact poorly understood and therefore needlessly mismanaged when they occur. This mismanagement leads to a troubling derogation of established liberal democratic rights in the name of an unattainable form of hollow security. Further, the book argues that the existing rights of citizens ought to be defended (and not simply derogated) during states of emergency. Failure to do so is failure to comply with the formal values of liberal democracy itself. 410 0$aStudies in moral philosophy ;$vVolume 7. 606 $aCrisis management in government 606 $aEmergency management$xGovernment policy 606 $aDemocracy$xPhilosophy 606 $aDemocracy$xMoral and ethical aspects 606 $aLiberalism$xPhilosophy 615 0$aCrisis management in government. 615 0$aEmergency management$xGovernment policy. 615 0$aDemocracy$xPhilosophy. 615 0$aDemocracy$xMoral and ethical aspects. 615 0$aLiberalism$xPhilosophy. 676 $a363.34/56 700 $aSagos$b Nick C.$01723576 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815648403321 996 $aDemocracy, emergency, and arbitrary coercion$94124957 997 $aUNINA