mathematical foundations quantum computing von lee peter (35 Ergebnisse)

Paperback or Softback. Zustand: New. Mathematical Foundations of Quantum Computing: A Scaffolding Approach 2.18. Book.

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Hardback or Cased Book. Zustand: New. Mathematical Foundations of Quantum Computing: A Scaffolding Approach 2.65. Book.

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Paperback. Zustand: Brand New. 572 pages. 7.00x1.29x10.00 inches. In Stock.

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Paperback. Zustand: new. Paperback. Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist. This guide offers a clear pathway to mastering quantum computing, integrating fundamental concepts, gate operations, entanglement, and advanced algorithms with a practical, illustrative approach. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Zustand: new. Paperback. Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist. This guide offers a clear pathway to mastering quantum computing, integrating fundamental concepts, gate operations, entanglement, and advanced algorithms with a practical, illustrative approach. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist. This guide offers a clear pathway to mastering quantum computing, integrating fundamental concepts, gate operations, entanglement, and advanced algorithms with a practical, illustrative approach. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: Brand New. 574 pages. 7.00x1.25x10.00 inches. In Stock.

Hardcover. Zustand: new. Hardcover. Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist. This guide offers a clear pathway to mastering quantum computing, integrating fundamental concepts, gate operations, entanglement, and advanced algorithms with a practical, illustrative approach. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Zustand: new. Paperback. Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist. This guide offers a clear pathway to mastering quantum computing, integrating fundamental concepts, gate operations, entanglement, and advanced algorithms with a practical, illustrative approach. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist. This guide offers a clear pathway to mastering quantum computing, integrating fundamental concepts, gate operations, entanglement, and advanced algorithms with a practical, illustrative approach. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 570 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist. 574 pp. Englisch.

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist.

Zustand: New. Print on Demand.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Essential Mathematics for Quantum ComputingThis focused guide connects key mathematical principles with their specialized applications in quantum computing, equipping students with the essential tools to succeed in this transformative field. It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.FeaturesCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.Explains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.Offers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.James M. Yu (Ph.D., Rutgers University) - Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist. 570 pp. Englisch.