LEADER 03006nam 22006135 450 001 9910506399603321 005 20251113191547.0 010 $a3-030-83098-5 024 7 $a10.1007/978-3-030-83098-4 035 $a(CKB)4950000000281951 035 $a(MiAaPQ)EBC6784761 035 $a(Au-PeEL)EBL6784761 035 $a(OCoLC)1277313999 035 $a(PPN)258298731 035 $a(DE-He213)978-3-030-83098-4 035 $a(EXLCZ)994950000000281951 100 $a20211017d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning with Quantum Computers /$fby Maria Schuld, Francesco Petruccione 205 $a2nd ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (321 pages) 225 1 $aQuantum Science and Technology,$x2364-9062 311 08$a3-030-83097-7 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Introduction -- Chapter 2. Machine Learning -- Chapter 3. Quantum Computing -- Chapter 4. Representing Data on a Quantum Computer -- Chapter 5. Variational Circuits as Machine Learning Models -- Chapter 6. Quantum Models as Kernel Methods -- Chapter 7. Fault-Tolerant Quantum Machine Learning -- Chapter 8. Approaches Based on the Ising Model -- Chapter 9. Potential Quantum Advantages. 330 $aThis book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years. 410 0$aQuantum Science and Technology,$x2364-9062 606 $aQuantum computers 606 $aMachine learning 606 $aMathematics 606 $aQuantum Computing 606 $aMachine Learning 606 $aMathematics and Computing 615 0$aQuantum computers. 615 0$aMachine learning. 615 0$aMathematics. 615 14$aQuantum Computing. 615 24$aMachine Learning. 615 24$aMathematics and Computing. 676 $a004.1 700 $aSchuld$b Maria$0878448 702 $aPetruccione$b F$g(Francesco), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910506399603321 996 $aMachine learning with quantum computers$92897789 997 $aUNINA