000			04167nam a22004215i 4500
999			_c387739 _d387739
001			387739
003			ES-MaUEC
005			20230329171224.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220601s2011 sz | s |||| 0|eng d
020			_a9783031017315
024	7		_a10.1007/978-3-031-01731-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.889 _b2011 EB
100	1		_aMetodi, Tzvetan S. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687876
245	1	0	_aQuantum Computing for Computer Architects _cby Tzvetan Metodi, Arvin I. Faruque
250			_a2nd edition 2011
264		1	_aCham _bSpringer International Publishing _c2011
300			_a1 recurso en línea (XII, 192 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Computer Architecture _x1935-3243
505	0		_aIntroduction -- Basic Elements for Quantum Computation -- Key Quantum Algorithms -- Building Reliable and Scalable Quantum Architectures -- Simulation of Quantum Computation -- Architectural Elements -- Case Study: The Quantum Logic Array Architecture -- Programming the Quantum Architecture -- Using the QLA for Quantum Simulation: The Transverse Ising Model -- Teleportation-Based Quantum Architectures -- Concluding Remarks.
520			_aQuantum computers can (in theory) solve certain problems far faster than a classical computer running any known classical algorithm. While existing technologies for building quantum computers are in their infancy, it is not too early to consider their scalability and reliability in the context of the design of large-scale quantum computers. To architect such systems, one must understand what it takes to design and model a balanced, fault-tolerant quantum computer architecture. The goal of this lecture is to provide architectural abstractions for the design of a quantum computer and to explore the systems-level challenges in achieving scalable, fault-tolerant quantum computation. In this lecture, we provide an engineering-oriented introduction to quantum computation with an overview of the theory behind key quantum algorithms. Next, we look at architectural case studies based upon experimental data and future projections for quantum computation implemented using trapped ions. While we focus here on architectures targeted for realization using trapped ions, the techniques for quantum computer architecture design, quantum fault-tolerance, and compilation described in this lecture are applicable to many other physical technologies that may be viable candidates for building a large-scale quantum computing system. We also discuss general issues involved with programming a quantum computer as well as a discussion of work on quantum architectures based on quantum teleportation. Finally, we consider some of the open issues remaining in the design of quantum computers. Table of Contents: Introduction / Basic Elements for Quantum Computation / Key Quantum Algorithms / Building Reliable and Scalable Quantum Architectures / Simulation of Quantum Computation / Architectural Elements / Case Study: The Quantum Logic Array Architecture / Programming the Quantum Architecture / Using the QLA for Quantum Simulation: The Transverse Ising Model / Teleportation-Based Quantum Architectures / Concluding Remarks.
988			_aSynthesis Collection of Technology_2011
650		7	_2embne _9166087 _aOrdenadores cuánticos
650		7	_2embne _9144554 _aArquitectura de ordenador
700	1		_aFaruque, Arvin I., _d1988- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687877
776	0	8	_iPrinted edition: _z9783031006036
776	0	8	_iPrinted edition: _z9783031028595
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01731-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI