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007			cr nn 008mamaa
008			201220s2020 xxu| s |||| 0|eng d
020			_a9781484265161
040			_dUNAV _bspa _cUEV
050			_aQA76.889 _b.K66 2020 EB
082	0	4	_a005.7 _223
100	1		_aKommadi, Bhagvan
245	1	0	_aQuantum Computing Solutions : _bSolving Real-World Problems Using Quantum Computing and Algorithms _cby Bhagvan Kommadi
250			_a1st ed
260			_aBerkeley, CA _bApress _c2020
300			_a1 recurso en línea
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aSpringer eBooks
505	0		_aPart 1: Introduction -- Chapter 1: Quantum Solutions Overview -- Chapter 2: Mathematics Behind Quantum Computing -- Part 2: Quantum Computing Basics -- Chapter 3: Quantum SubSystems and Properties -- Chapter 4: Quantum Information Processing Framework -- Chapter 5: Quantum Simulators -- Chapter 6: Quantum Optimization Algorithms -- Chapter 7: Quantum Algorithms -- Chapter 8: Quantum Neural Network Algorithms -- Chapter 9: Quantum Classification Algorithms -- Chapter 10: Quantum Data Processing -- Chapter 11: Quantum AI Algorithms -- Chapter 12: Quantum Solutions -- Chapter 13: Evolving Quantum Solutions -- Chapter 14: Next Steps
520			_aKnow how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different disciplines. Quantum solutions involve building quantum algorithms that improve computational tasks within quantum computing, AI, data science, and machine learning. As opposed to quantum computer innovation, quantum solutions offer automation, cost reduction, and other efficiencies to the problems they tackle. Starting with the basics, this book covers subsystems and properties as well as the information processing network before covering quantum simulators. Solutions such as the Traveling Salesman Problem, quantum cryptography, scheduling, and cybersecurity are discussed in step-by-step detail. The book presents code samples based on real-life problems in a variety of industries, such as risk assessment and fraud detection in banking. In pharma, you will look at drug discovery and protein-folding solutions. Supply chain optimization and purchasing solutions are presented in the manufacturing domain. In the area of utilities, energy distribution and optimization problems and solutions are explained. Advertising scheduling and revenue optimization solutions are included from media and technology verticals. You will: Understand the mathematics behind quantum computing Know the solution benefits, such as automation, cost reduction, and efficiencies Be familiar with the quantum subsystems and properties, including states, protocols, operations, and transformations Be aware of the quantum classification algorithms: classifiers, and support and sparse support vector machines Use AI algorithms, including probability, walks, search, deep learning, and parallelism
538			_aForma de acceso: World Wide Web
650		7	_2embne _96401 _aOrdenadores
710	2		_aSpringerLink
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://doi.org/10.1007/978-1-4842-6516-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
998			_db