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001 978-3-319-91629-3
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007 cr nn 008mamaa
008 180921s2018 gw | s |||| 0|eng d
020 _a9783319916293
_9978-3-319-91629-3
050 4 _aQA76.9.L63
050 4 _aQA76.5913
072 7 _aUM
_2bicssc
072 7 _aCOM051000
_2bisacsh
072 7 _aUM
_2thema
072 7 _aUYF
_2thema
082 0 4 _a005.1015113
_223
100 1 _aZygelman, Bernard.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 2 _aA First Introduction to Quantum Computing and Information
_h[electronic resource] /
_cby Bernard Zygelman.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVII, 233 p. 41 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aAcceso multiusuario
505 0 _a1 A Quantum Mechanic's Toolbox -- 2 Apples and Oranges: Matrix Representations -- 3 Circuit Model of Computation -- 4 Quantum Killer Apps: Quantum Fourier Transform and Search Algorithms -- 5 Quantum Mechanics According to Martians: Density Matrix Theory -- 6 No-Cloning Theorem, Quantum Teleportation and Spooky Correlations -- 7 Quantum Hardware I: Ion Trap qubits -- 8 Quantum Hardware II: cQED and cirQED -- 9 Errare Computatrum Est: Quiantum Error Correction.
520 _aThis book addresses and introduces new developments in the field of Quantum Information and Computing (QIC) for a primary audience of undergraduate students. Developments over the past few decades have spurred the need for QIC courseware at major research institutions. This book broadens the exposure of QIC science to the undergraduate market. The subject matter is introduced in such a way so that it is accessible to students with only a first-year calculus background. Greater accessibility allows a broader range of academic offerings. Courses, based on this book, could be offered in the Physics, Engineering, Math and Computer Science departments. This textbook incorporates Mathematica-based examples into the book. In this way students are allowed a hands-on experience in which difficult abstract concepts are actualized by simulations. The students can 'turn knobs" in parameter space and explore how the system under study responds. The incorporation of symbolic manipulation software into course-ware allows a more holistic approach to the teaching of difficult concepts. Mathematica software is used here because it is easy to use and allows a fast learning curve for students who have limited experience with scientific programming.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aComputer logic.
650 0 _aQuantum computers.
650 0 _aQuantum physics.
650 1 4 _aLogics and Meanings of Programs.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I1603X
650 2 4 _aQuantum Computing.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M14070
650 2 4 _aQuantum Physics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/P19080
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319916286
776 0 8 _iPrinted edition:
_z9783319916309
776 0 8 _iPrinted edition:
_z9783030062712
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-91629-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cLIBRO_ELEC
999 _c242115
_d242114