This expertly crafted guide demystifies the complexities of quantum computing through a progressive teaching method, making it accessible to students and newcomers alike.
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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. Huiwen Ji earned her Ph.D. in Chemistry at Princeton University, where she specialized in the solid-state chemistry of binary and ternary chalcogenides, a field intricately tied to quantum properties and topological surface states. This rigorous academic background laid the foundation for her subsequent research endeavors, blending quantum physics, materials chemistry, and structure-property relationships in solid-state functional materials. In her roles as a Postdoctoral Scholar at the University of California, Berkeley, and a Research Scientist at Lawrence Berkeley National Lab, she further delved into the nuances of advanced material science. Recognized for her significant contributions, Dr. Ji has received accolades such as the ACS PRF Doctoral New Investigator Award and the NSF CAREER Award. She currently serves as a faculty member at the University of Utah.
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 NSF CAREER and DoD MURI awards alongside a cadre of distinguished physicists, furthering advancements in this innovative domain.
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Seller: Bookbot, Prague, Czech Republic
Hardcover. Condition: As New. Leichte Kratzer / Abnutzungen / Druckstellen. In a world where quantum computing stands at the crossroads of computation and quantum mechanics, Quantum Computing and Information: A Scaffolding Approach offers a meticulously designed pathway for mastering this transformative technology. As part of an educational series, this book serves as a comprehensive resource for beginning graduate students, senior undergraduates, and anyone invested in understanding the quantum computational landscape. The book follows a "scaffolding approach," inspired by pedagogical theories from Lev Vygotsky and Jerome Bruner, guiding readers through complex subject matter without overwhelming them. Through the gradual introduction of concepts, layered reinforcement, and practical exercises, the book facilitates deep learning. Employing ample illustrations, tables, and special boxes for highlights and key concepts, the text makes quantum computing accessible without diluting its intricacies. Four major sections unfold a comprehensive learning journey: from understanding the basics of quantum systems, through the manipulation of these systems with quantum gates, to the fascinating phenomenon of entanglement, and finally, to essential quantum algorithms, error correction techniques, and quantum information theory. Whether you are a novice to quantum computing or have some experience in the field, this book offers a structured and incremental approach to gaining a robust understanding. Get ready to embark on an enlightening voyage through the captivating realm of quantum computing. Seller Inventory # 41bdc0f0-8afb-4dd2-b894-44ca1b2e9e66
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