LEADER 00900nam0-2200313---450- 001 990008783500403321 005 20081218134626.0 010 $a0720442087 035 $a000878350 035 $aFED01000878350 035 $a(Aleph)000878350FED01 035 $a000878350 100 $a20081218d1972----km-y0itay50------ba 101 1 $aeng 102 $aNL 105 $aa-------001yy 200 1 $aDetermination of sequences in RNA$fG.G. Brownlee 210 $aAmsterdam$cNorth-Holland$d1972 215 $aviii, 265 p.$cill.$d21 cm 225 1 $aLaboratory techniques in biochemistry and molecular biology$v3, pt. I 676 $a574$v19 700 1$aBrownlee,$bG. G.$0504325 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008783500403321 952 $aC 10a 3/3/I$b2/BM1$fDMBBM 959 $aDMBBM 996 $aDetermination of sequences in RNA$9809077 997 $aUNINA LEADER 03382nam 22006135 450 001 9910427689203321 005 20200831113940.0 010 $a3-030-54975-5 024 7 $a10.1007/978-3-030-54975-6 035 $a(CKB)4100000011406859 035 $a(MiAaPQ)EBC6326362 035 $a(DE-He213)978-3-030-54975-6 035 $a(PPN)250215497 035 $a(EXLCZ)994100000011406859 100 $a20200831d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModelling Non-Markovian Quantum Systems Using Tensor Networks /$fby Aidan Strathearn 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (113 pages) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 311 $a3-030-54974-7 327 $aIntroduction -- Background -- Method -- Results -- Conclusion. 330 $aThis thesis presents a revolutionary technique for modelling the dynamics of a quantum system that is strongly coupled to its immediate environment. This is a challenging but timely problem. In particular it is relevant for modelling decoherence in devices such as quantum information processors, and how quantum information moves between spatially separated parts of a quantum system. The key feature of this work is a novel way to represent the dynamics of general open quantum systems as tensor networks, a result which has connections with the Feynman operator calculus and process tensor approaches to quantum mechanics. The tensor network methodology developed here has proven to be extremely powerful: For many situations it may be the most efficient way of calculating open quantum dynamics. This work is abounds with new ideas and invention, and is likely to have a very significant impact on future generations of physicists. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aQuantum theory 606 $aMathematical physics 606 $aStatistics 606 $aProbabilities 606 $aQuantum Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19080 606 $aTheoretical, Mathematical and Computational Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19005 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 615 0$aQuantum theory. 615 0$aMathematical physics. 615 0$aStatistics. 615 0$aProbabilities. 615 14$aQuantum Physics. 615 24$aTheoretical, Mathematical and Computational Physics. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aProbability Theory and Stochastic Processes. 676 $a530.12011 700 $aStrathearn$b Aidan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0843399 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427689203321 996 $aModelling Non-Markovian Quantum Systems Using Tensor Networks$91882008 997 $aUNINA