LEADER 03588nam 22005415 450 001 9910299359003321 005 20251116203512.0 010 $a3-319-91629-7 024 7 $a10.1007/978-3-319-91629-3 035 $a(CKB)4100000006674590 035 $a(DE-He213)978-3-319-91629-3 035 $a(MiAaPQ)EBC6315923 035 $a(PPN)230541631 035 $a(EXLCZ)994100000006674590 100 $a20180921d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA First Introduction to Quantum Computing and Information /$fby Bernard Zygelman 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVII, 233 p. 41 illus.) 311 08$a3-319-91628-9 327 $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. 330 $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. 606 $aComputer logic 606 $aQuantum computers 606 $aQuantum theory 606 $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X 606 $aQuantum Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/M14070 606 $aQuantum Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19080 615 0$aComputer logic. 615 0$aQuantum computers. 615 0$aQuantum theory. 615 14$aLogics and Meanings of Programs. 615 24$aQuantum Computing. 615 24$aQuantum Physics. 676 $a510.285536 700 $aZygelman$b Bernard$4aut$4http://id.loc.gov/vocabulary/relators/aut$0989308 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299359003321 996 $aA First Introduction to Quantum Computing and Information$92262498 997 $aUNINA