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001435339 001__ 1435339
001435339 003__ OCoLC
001435339 005__ 20230309003849.0
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001435339 008__ 210313s2021\\\\caua\\\\o\\\\\001\0\eng\d
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001435339 020__ $$a9781484265222$$q(electronic bk.)
001435339 020__ $$a148426522X$$q(electronic bk.)
001435339 020__ $$z9781484265215
001435339 020__ $$z1484265211
001435339 0247_ $$a10.1007/978-1-4842-6522-2$$2doi
001435339 035__ $$aSP(OCoLC)1244120897
001435339 040__ $$aDCT$$beng$$erda$$epn$$cDCT$$dEBLCP$$dYDX$$dOCLCO$$dGW5XE$$dN$T$$dOCLCO$$dUAB$$dSFB$$dOCLCF$$dUKAHL$$dCZL$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCQ
001435339 049__ $$aISEA
001435339 050_4 $$aQA76.889
001435339 08204 $$a006.3/843$$223
001435339 1001_ $$aPattanayak, Santanu,$$eauthor.
001435339 24510 $$aQuantum machine learning with Python :$$busing Cirq from Google Research and IBM Qiskit /$$cSantanu Pattanayak.
001435339 264_1 $$a[Berkeley, CA] :$$bApress,$$c[2021]
001435339 300__ $$a1 online resource (xix, 361 pages) :$$billustrations
001435339 336__ $$atext$$btxt$$2rdacontent
001435339 337__ $$acomputer$$bc$$2rdamedia
001435339 338__ $$aonline resource$$bcr$$2rdacarrier
001435339 347__ $$atext file
001435339 347__ $$bPDF
001435339 500__ $$aIncludes index.
001435339 5050_ $$aChapter 1: Introduction to Quantum Mechanics and Quantum Computing -- Chapter 2: Mathematical Foundations and Postulates of Quantum Computing -- Chapter 3: Introduction to Quantum Algorithms -- Chapter 4: Quantum Fourier Transform Related Algorithms -- PART 2 Chapter 5: Introduction to Quantum Machine Learning -- Chapter 6: Quantum Deep Learning and Quantum Optimization Based Algorithms -- Chapter 7: Quantum Adiabatic Processes and Quantum based Optimization.
001435339 506__ $$aAccess limited to authorized users.
001435339 520__ $$aQuickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms. This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic particles. It also examines Quantum machine learning, which can help solve some of the most challenging problems in forecasting, financial modeling, genomics, cybersecurity, supply chain logistics, cryptography among others. You'll start by reviewing the fundamental concepts of Quantum Computing, such as Dirac Notations, Qubits, and Bell state, followed by postulates and mathematical foundations of Quantum Computing. Once the foundation base is set, you'll delve deep into Quantum based algorithms including Quantum Fourier transform, phase estimation, and HHL (Harrow-Hassidim-Lloyd) among others. You'll then be introduced to Quantum machine learning and Quantum deep learning-based algorithms, along with advanced topics of Quantum adiabatic processes and Quantum based optimization. Throughout the book, there are Python implementations of different Quantum machine learning and Quantum computing algorithms using the Qiskit toolkit from IBM and Cirq from Google Research. You will: Understand Quantum computing and Quantum machine learning Explore varied domains and the scenarios where Quantum machine learning solutions can be applied Develop expertise in algorithm development in varied Quantum computing frameworks Review the major challenges of building large scale Quantum computers and applying its various techniques.
001435339 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 13, 2021).
001435339 650_0 $$aQuantum computing.
001435339 650_0 $$aMachine learning.
001435339 650_0 $$aPython (Computer program language)
001435339 650_0 $$aArtificial intelligence.
001435339 650_0 $$aComputer software.
001435339 650_0 $$aOpen source software.
001435339 650_0 $$aComputer programming.
001435339 650_6 $$aIntelligence artificielle.
001435339 650_6 $$aLogiciels.
001435339 650_6 $$aLogiciels libres.
001435339 650_6 $$aProgrammation (Informatique)
001435339 650_6 $$aInformatique quantique.
001435339 650_6 $$aApprentissage automatique.
001435339 650_6 $$aPython (Langage de programmation)
001435339 655_0 $$aElectronic books.
001435339 77608 $$iPrint version: $$z9781484265215
001435339 77608 $$iPrint version: $$z9781484265239
001435339 852__ $$bebk
001435339 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-6522-2$$zOnline Access$$91397441.1
001435339 909CO $$ooai:library.usi.edu:1435339$$pGLOBAL_SET
001435339 980__ $$aBIB
001435339 980__ $$aEBOOK
001435339 982__ $$aEbook
001435339 983__ $$aOnline
001435339 994__ $$a92$$bISE