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Mathematical Foundations of Quantum Computing: A Scaffolding Approach
Essential Mathematics for Quantum Computing
This 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.⚠️ Note for Kindle Scribe Users:
This edition is in Print Replica format to preserve mathematical content and layout integrity. Unfortunately, it is not compatible with Kindle Scribe’s stylus-based writing tools. If you would like a PDF version for direct annotation, please contact the author at contact@polarisqci.com or
This 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.⚠️ Note for Kindle Scribe Users:
This edition is in Print Replica format to preserve mathematical content and layout integrity. Unfortunately, it is not compatible with Kindle Scribe’s stylus-based writing tools. If you would like a PDF version for direct annotation, please contact the author at contact@polarisqci.com or
Kindle Edition
Published March 4, 2025
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About the author
Peter Lee
182 books4 followersLibrarian Note: There is more than one author in the Goodreads database with this name.
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