Quantum Computing Programmers by Hundt Robert (28 results)

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  • Language: English

    Published by Cambridge, 2022

    1009098179 / 9781009098175

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    Hardcover. Condition: Fine. No Dust Jacket. First Edition; First Printing. Small 4to 9" - 11" tall; 360 pages.

  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

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  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

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  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

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  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

    • Hardcover

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  • Language: English

    Published by Cambridge University Press, 2022

    1009098179 / 9781009098175

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    Hardcover. Condition: Brand New. 350 pages. 9.61x6.69x0.88 inches. In Stock.

  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

    • Hardcover

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  • Language: English

    Published by Cambridge University Press, GB, 2025

    1009548530 / 9781009548533

    • Hardcover

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    Hardback. Condition: New. 2nd. This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 50 quantum techniques and algorithms are explained with mathematical derivations and code for simulation, using an open-source code base in Python and C++. New material throughout this fully revised and expanded second edition includes new chapters on Quantum Machine Learning, State Preparation, and Similarity Tests. Coverage includes algorithms exploiting entanglement, black-box algorithms, the quantum Fourier transform, phase estimation, quantum walks, and foundational QML algorithms. Readers will find detailed, easy-to-follow derivations and implementations of Shor's algorithm, Grover's algorithm, SAT3, graph coloring, the Solovay-Kitaev algorithm, Moettoenen's algorithm, quantum mean, median, and minimum finding, Deutsch's algorithm, Bernstein-Vazirani, quantum teleportation and superdense coding, the CHSH game, and, from QML, the HHL algorithm, Euclidean distance, and PCA. The book also discusses productivity issues like quantum noise, error correction, quantum programming languages, compilers, and techniques for transpilation.

  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

    • Hardcover

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  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

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  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

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    Condition: New. 2025. 2nd Edition. hardcover. . . . . .

  • Language: English

    Published by Cambridge University Press, 2022

    1009098179 / 9781009098175

    • Hardcover

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    Condition: New. New edition NO-PA16APR2015-KAP.

  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

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  • Language: English

    Published by Cambridge University Press, GB, 2025

    1009548530 / 9781009548533

    • Hardcover

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    Hardback. Condition: New. 2nd. This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 50 quantum techniques and algorithms are explained with mathematical derivations and code for simulation, using an open-source code base in Python and C++. New material throughout this fully revised and expanded second edition includes new chapters on Quantum Machine Learning, State Preparation, and Similarity Tests. Coverage includes algorithms exploiting entanglement, black-box algorithms, the quantum Fourier transform, phase estimation, quantum walks, and foundational QML algorithms. Readers will find detailed, easy-to-follow derivations and implementations of Shor's algorithm, Grover's algorithm, SAT3, graph coloring, the Solovay-Kitaev algorithm, Moettoenen's algorithm, quantum mean, median, and minimum finding, Deutsch's algorithm, Bernstein-Vazirani, quantum teleportation and superdense coding, the CHSH game, and, from QML, the HHL algorithm, Euclidean distance, and PCA. The book also discusses productivity issues like quantum noise, error correction, quantum programming languages, compilers, and techniques for transpilation.

  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

    • Hardcover

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  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

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    Condition: New. 2025. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland.

  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

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    Hardcover. Condition: Brand New. 2nd revised edition edition. 444 pages. 6.69x1.00x9.61 inches. In Stock.

  • Language: English

    Published by Cambridge University Press, GB, 2025

    1009548530 / 9781009548533

    • Hardcover

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    Hardback. Condition: New. 2nd. This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 50 quantum techniques and algorithms are explained with mathematical derivations and code for simulation, using an open-source code base in Python and C++. New material throughout this fully revised and expanded second edition includes new chapters on Quantum Machine Learning, State Preparation, and Similarity Tests. Coverage includes algorithms exploiting entanglement, black-box algorithms, the quantum Fourier transform, phase estimation, quantum walks, and foundational QML algorithms. Readers will find detailed, easy-to-follow derivations and implementations of Shor's algorithm, Grover's algorithm, SAT3, graph coloring, the Solovay-Kitaev algorithm, Moettoenen's algorithm, quantum mean, median, and minimum finding, Deutsch's algorithm, Bernstein-Vazirani, quantum teleportation and superdense coding, the CHSH game, and, from QML, the HHL algorithm, Euclidean distance, and PCA. The book also discusses productivity issues like quantum noise, error correction, quantum programming languages, compilers, and techniques for transpilation.

  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

    • Hardcover

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 50 quantum techniques and algorithms are explained with mathematical derivations and code for simulation, using an open-source code base in Python and C++. New material throughout this fully revised and expanded second edition includes new chapters on Quantum Machine Learning, State Preparation, and Similarity Tests. Coverage includes algorithms exploiting entanglement, black-box algorithms, the quantum Fourier transform, phase estimation, quantum walks, and foundational QML algorithms. Readers will find detailed, easy-to-follow derivations and implementations of Shor's algorithm, Grover's algorithm, SAT3, graph coloring, the Solovay-Kitaev algorithm, Moettoenen's algorithm, quantum mean, median, and minimum finding, Deutsch's algorithm, Bernstein-Vazirani, quantum teleportation and superdense coding, the CHSH game, and, from QML, the HHL algorithm, Euclidean distance, and PCA. The book also discusses productivity issues like quantum noise, error correction, quantum programming languages, compilers, and techniques for transpilation.

  • Language: English

    Published by Cambridge University Press, GB, 2025

    1009548530 / 9781009548533

    • Hardcover

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    Hardback. Condition: New. 2nd. This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 50 quantum techniques and algorithms are explained with mathematical derivations and code for simulation, using an open-source code base in Python and C++. New material throughout this fully revised and expanded second edition includes new chapters on Quantum Machine Learning, State Preparation, and Similarity Tests. Coverage includes algorithms exploiting entanglement, black-box algorithms, the quantum Fourier transform, phase estimation, quantum walks, and foundational QML algorithms. Readers will find detailed, easy-to-follow derivations and implementations of Shor's algorithm, Grover's algorithm, SAT3, graph coloring, the Solovay-Kitaev algorithm, Moettoenen's algorithm, quantum mean, median, and minimum finding, Deutsch's algorithm, Bernstein-Vazirani, quantum teleportation and superdense coding, the CHSH game, and, from QML, the HHL algorithm, Euclidean distance, and PCA. The book also discusses productivity issues like quantum noise, error correction, quantum programming languages, compilers, and techniques for transpilation.

  • Language: English

    Published by Cambridge University Press, 2022

    1009098179 / 9781009098175

    • Hardcover

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  • Language: English

    Published by Cambridge University Press, Cambridge, 2025

    1009548530 / 9781009548533

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    Hardcover. Condition: new. Hardcover. This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 50 quantum techniques and algorithms are explained with mathematical derivations and code for simulation, using an open-source code base in Python and C++. New material throughout this fully revised and expanded second edition includes new chapters on Quantum Machine Learning, State Preparation, and Similarity Tests. Coverage includes algorithms exploiting entanglement, black-box algorithms, the quantum Fourier transform, phase estimation, quantum walks, and foundational QML algorithms. Readers will find detailed, easy-to-follow derivations and implementations of Shor's algorithm, Grover's algorithm, SAT3, graph coloring, the Solovay-Kitaev algorithm, Moettoenen's algorithm, quantum mean, median, and minimum finding, Deutsch's algorithm, Bernstein-Vazirani, quantum teleportation and superdense coding, the CHSH game, and, from QML, the HHL algorithm, Euclidean distance, and PCA. The book also discusses productivity issues like quantum noise, error correction, quantum programming languages, compilers, and techniques for transpilation. Details derivations and implementations of over 50 fundamental quantum algorithms and techniques, including Shor's and Grover's algorithms, Fourier transforms, quantum teleportation and QML, all simulated in Python. Precise yet easy-to-understand mathematics and over 120 illustrations make this a quintessential book for learning quantum computing. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Language: English

    Published by Cambridge University Press, 2022

    1009098179 / 9781009098175

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  • Language: English

    Published by Cambridge University Press, 2025

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    Hardcover. Condition: Brand New. 2nd revised edition edition. 444 pages. 6.69x1.00x9.61 inches. In Stock. This item is printed on demand.

  • Language: English

    Published by Cambridge University Press, 2022

    1009098179 / 9781009098175

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  • Language: English

    Published by Cambridge University Press, Cambridge, 2025

    1009548530 / 9781009548533

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    Hardcover. Condition: new. Hardcover. This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 50 quantum techniques and algorithms are explained with mathematical derivations and code for simulation, using an open-source code base in Python and C++. New material throughout this fully revised and expanded second edition includes new chapters on Quantum Machine Learning, State Preparation, and Similarity Tests. Coverage includes algorithms exploiting entanglement, black-box algorithms, the quantum Fourier transform, phase estimation, quantum walks, and foundational QML algorithms. Readers will find detailed, easy-to-follow derivations and implementations of Shor's algorithm, Grover's algorithm, SAT3, graph coloring, the Solovay-Kitaev algorithm, Moettoenen's algorithm, quantum mean, median, and minimum finding, Deutsch's algorithm, Bernstein-Vazirani, quantum teleportation and superdense coding, the CHSH game, and, from QML, the HHL algorithm, Euclidean distance, and PCA. The book also discusses productivity issues like quantum noise, error correction, quantum programming languages, compilers, and techniques for transpilation. Details derivations and implementations of over 50 fundamental quantum algorithms and techniques, including Shor's and Grover's algorithms, Fourier transforms, quantum teleportation and QML, all simulated in Python. Precise yet easy-to-understand mathematics and over 120 illustrations make this a quintessential book for learning quantum computing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Language: English

    Published by Cambridge University Press, 2025

    1009548530 / 9781009548533

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    Buch. Condition: Neu. Quantum Computing for Programmers | Robert Hundt | Buch | Englisch | 2025 | Cambridge University Press | EAN 9781009548533 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

  • Language: English

    Published by Cambridge University Press, Cambridge, 2025

    1009548530 / 9781009548533

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    Hardcover. Condition: new. Hardcover. This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. More than 50 quantum techniques and algorithms are explained with mathematical derivations and code for simulation, using an open-source code base in Python and C++. New material throughout this fully revised and expanded second edition includes new chapters on Quantum Machine Learning, State Preparation, and Similarity Tests. Coverage includes algorithms exploiting entanglement, black-box algorithms, the quantum Fourier transform, phase estimation, quantum walks, and foundational QML algorithms. Readers will find detailed, easy-to-follow derivations and implementations of Shor's algorithm, Grover's algorithm, SAT3, graph coloring, the Solovay-Kitaev algorithm, Moettoenen's algorithm, quantum mean, median, and minimum finding, Deutsch's algorithm, Bernstein-Vazirani, quantum teleportation and superdense coding, the CHSH game, and, from QML, the HHL algorithm, Euclidean distance, and PCA. The book also discusses productivity issues like quantum noise, error correction, quantum programming languages, compilers, and techniques for transpilation. Details derivations and implementations of over 50 fundamental quantum algorithms and techniques, including Shor's and Grover's algorithms, Fourier transforms, quantum teleportation and QML, all simulated in Python. Precise yet easy-to-understand mathematics and over 120 illustrations make this a quintessential book for learning quantum computing. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.