02711aam a2200289 i 4500003001000000005001700010008004100027020001800068040002600086041000800112082002500120100002100145245006500166250001900231264004500250300006700295336002400362337002500386338002400411505067700435506001301112520114201125650002502267650003702292650003202329650006002361CO-UCACDB20230324124504.0230324b2021 sw |||fr|||| 001 0 eng d a9783030832735 aCO-UCACbengcCO-UCAC aeng04222a004.cH632d20211 a Hidary, Jack D.10aQuantum computing : ban applied approach / cJack D. Hidary asecond edition 4aCham : bSpringer (Switzerland) : c2021 a422 páginas ; bilustraciones ; c16 x 24 cm. f2 ejemplares 2rdacontenidoaTexto 2rdamedioaNo mediado 2rdasoporteavolumen aI. Foundations. 1. Superpositions, entanglement and reversibility. 2. A brief history of quantum computing. 3. Qubits, operators and measurement. 4. Complexity theory. II. Haardware and applications. 5. Building a quantum computer. 6. Development libraries for quantum computer programming. 7. Teleportation. superdense coding and bell's inequality. 8. The canon: code waalkthroughs. 9. Quantum computing methods. 10. Applications and quantum supremacy. 11. Mathematical toolds for quantum computing I. 12. Mathematical tools for quantum computing II. 13. Mathematical tools for quantum computing III. 14. Dirac notation. 15. Table of quantum operators and core circuits. aSistemas3 aThis book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training. The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates. (Tomado de la fuente).042ArmarcaCOMPUTADORES042ArmarcaCOMPUTADORES CUÁNTICOS042ArmarcaTEORÍA CUÁNTICA042ArmarcaCOMPUTADORES CUÁNTICOSxMODELOS MATEMÁTICOS