Volume 2 (contains Parts III & IV + Appendices, b/w)
Unlock the Potential of Quantum Algorithms
This book presents a progressive scaffolding approach to quantum algorithms and applications, guiding readers from core primitives to practical workflows in simulation, optimization, quantum machine learning, and linear systems, with an emphasis on mastering durable concepts and principles.
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Dr. Peter Y. Lee holds a Ph.D. in Electrical Engineering from Princeton University. His research at Princeton focused on quantum nanostructures, the fractional quantum Hall effect, and Wigner crystals. Following his academic tenure, he joined Bell Labs, making significant contributions to the fields of photonics and optical communications and securing over 20 patents. Dr. Lee's multifaceted expertise extends to educational settings; he has a rich history of teaching, academic program oversight, and computer programming. Dr. Lee is currently on the faculty of Fei Tian College, New York.
Dr. Ran Cheng earned his Ph.D. in Physics with a focus on theoretical condensed matter physics from the University of Texas at Austin. Following his doctoral studies, he furthered his inquiry into magnetic materials and nanostructures as a postdoctoral researcher at Carnegie Mellon University. He is now a faculty member at the University of California, Riverside, where he actively explores three core research domains: spintronics, topological materials, and low-dimensional quantum magnets. A recognized pioneer in the burgeoning field of antiferromagnetic spintronics, Dr. Cheng was honored with the DOD MURI award alongside a cadre of distinguished physicists, furthering advancements in this innovative domain.
Dr. Huiwen Ji holds a Ph.D. in Chemistry from Princeton University. She is a materials chemist whose research spans solid-state functional materials, quantum materials, and energy-related materials. After appointments at the University of California, Berkeley and Lawrence Berkeley National Laboratory, she joined the University of Utah as a faculty member in Materials Science and Engineering. Her honors include an NSF CAREER Award.
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Paperback. Condition: new. Paperback. Volume 2 (contains Parts III & IV + Appendices, b/w)Unlock the Potential of Quantum AlgorithmsThis book presents a progressive scaffolding approach to quantum algorithms and applications, guiding readers from core primitives to practical workflows in simulation, optimization, quantum machine learning, and linear systems, with an emphasis on mastering durable concepts and principles.FeaturesA systematic, student-friendly route through quantum algorithms.Comprehensive coverage, from core primitives to real applications.Up to date: QSVT, SQD, QML, classical shadows, differential-equation solvers, and the quest for quantum advantage.AuthorsDr. Peter Y. Lee (Ph.D., Princeton University) - Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.Dr. Ran Cheng (Ph.D., University of Texas at Austin) - Specialist in condensed matter theory and an award-winning physicist.Dr. Huiwen Ji (Ph.D., Princeton University) - Accomplished researcher with a solid background in quantum chemistry and numerous awards. This book presents a progressive scaffolding approach to quantum algorithms and applications, guiding readers from core primitives to practical workflows in simulation, optimization, quantum machine learning, and linear systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781961880139
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