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Authors
Dr. Peter Y. Lee: Earned a Ph.D. in E.E. from Princeton, specializing in quantum nanostructures and the fractional quantum Hall effect. Post-academia, he joined Bell Labs, contributing to photonics and securing 20+ patents. He brings extensive teaching experience and is now a faculty member at Fei Tian College, NY.
Dr. Huiwen Ji: Holds a Ph.D. in Chemistry from Princeton, with a focus on solid-state chemistry tied to quantum properties. Her research spans quantum physics to materials chemistry. With roles at the University of California, Berkeley, and Lawrence Berkeley National Lab, she's received awards like the NSF CAREER Award. Currently a faculty member at the University of Utah.
Dr. Ran Cheng: Earned his Ph.D. in Physics from the University of Texas at Austin, with a specialization in condensed matter theory, particularly in spintronics and magnetism. Following a postdoctoral position at Carnegie Mellon University, he joined the faculty at the University of California, Riverside, where he was honored with the NSF CAREER and DoD MURI awards.
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Editorial Reviews
Robert J. Cava, Professor of Chemistry, Princeton Quantum Initiative, Princeton University
Quantum Computing is definitely going to impact our future lives. This book adheres to a pedagogical methodology that balances theoretical rigor with accessibility. The scaffolding approach that the authors use guides the reader through the learning journey. This makes the book not only academically rigorous but also effective as a teaching tool.
Andrew Kent, Professor of Physics, The Center for Quantum Phenomena, New York University
This impressive book covers the burgeoning field of quantum information, bridging the fundamentals of quantum mechanics and its present and future applications in secure communication and quantum computing. The author's approach is rigorous -- including all the necessary linear algebra -- while the book is highly readable and accessible. It will benefit a wide range of audiences with different backgrounds, from undergraduate students learning quantum mechanics to experts who want a deep understanding of quantum information protocols.
Stephen Lyon, Professor of Electrical and Computer Engineering
Quantum computing is poised to be one of the first major technological developments of the 21st century. This book assumes a student has a solid background in quantum mechanics, which allows it to introduce the broad field of quantum information and computing in depth. At the same time it covers important topics from multiple angles, which is invaluable in guiding students who are first learning the material. It will serve well both for teaching and as a reference.
Shuwang Li, Professor of Applied Mathematics, Illinois Institute of Technology
This textbook is elegantly crafted, utilizing a unique "scaffolding approach" to render complex topics in quantum computing easily comprehensible for newcomers to the field. It is invaluable for both educators and students of quantum computing.
"Quantum Computing: A Scaffolding Approach" offers a comprehensive and insightful introduction to quantum computing. Targeted at upper-division undergraduates with a foundational grasp of linear algebra or first-year graduates, it serves as an excellent resource for a one-semester course. The authors employ a lucid and engaging style, ensuring that complex topics are accessible. Their original illustrations and tables, meticulously designed to complement the text, enhance comprehension. Additionally, the textbook provides both concise and detailed examples, aiding entry-level students in grasping fundamental concepts. A well-considered balance between straightforward exercises (to consolidate specific knowledge) and problems (to integrate a broader understanding) is maintained.
