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001 978-0-387-36791-0
003 DE-He213
005 20160302162548.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 _a9780387367910
_9978-0-387-36791-0
024 7 _a10.1007/978-0-387-36791-0
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aAutomatic Quantum Computer Programming
_h[electronic resource] :
_bA Genetic Programming Approach /
_cedited by Lee Spector.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _aXII, 154 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aGenetic Programming,
_x1566-7863 ;
_v7
505 0 _aThe Power of Quantum Computing -- Quantum Computer Simulation -- Quantum Computer Programming -- Genetic and Evolutionary Computation -- Genetic Programming -- Evolution of Complex Programs -- Evolution of Quantum Programs -- Evolved Quantum Programs -- Conclusions and Prospects.
520 _aComputer science will be radically transformed if ongoing efforts to build large-scale quantum computers eventually succeed and if the properties of these computers meet optimistic expectations. Nevertheless, computer scientists still lack a thorough understanding of the power of quantum computing, and it is not always clear how best to utilize the power that it is understood. This dilemma exists because quantum algorithms are difficult to grasp and even more difficult to write. Despite large-scale international efforts, only a few important quantum algorithms are documented, leaving many essential questions about the potential of quantum algorithms unanswered. These unsolved problems are ideal challenges for the application of automatic programming technologies. Genetic programming techniques, in particular, have already produced several new quantum algorithms and it is reasonable to expect further discoveries in the future. Theses methods will help researchers to discover how additional practical problems can be solved using quantum computers, and they will also help to guide theoretical work on both the power and limits of quantum computing. Automatic Quantum Computer Programming provides an introduction to quantum computing for non-physicists, as well as an introduction to genetic programming for non-computer-scientists. The book explores several ways in which genetic programming can support automatic quantum computer programming and presents detailed descriptions of specific techniques, along with several examples of their human-competitive performance on specific problems. Source code for the author’s QGAME quantum computer simulator is included as an appendix, and pointers to additional online resources furnish the reader with an array of tools for automatic quantum computer programming. "I thoroughly enjoyed this book. It not only introduces quantum computing, but also genetic programming and the author’s original genetic programming system ‘PushGP’ which is used to evolve the quantum algorithms discussed in later chapters. The book is comprehensive, with wonderfully clear illustrations and comes with a Lisp-based quantum simulator program. Truly recommended for readers interested in gaining knowledge about exciting frontiers of computer science." —Wolfgang Banzhaf Memorial University of Newfoundland.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aComputer programming.
650 0 _aArtificial intelligence.
650 0 _aQuantum physics.
650 0 _aQuantum computers.
650 0 _aSpintronics.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
650 2 4 _aQuantum Physics.
650 2 4 _aQuantum Information Technology, Spintronics.
650 2 4 _aProgramming Techniques.
700 1 _aSpector, Lee.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387364964
830 0 _aGenetic Programming,
_x1566-7863 ;
_v7
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-36791-0
912 _aZDB-2-SCS
999 _c177596
_d177596