{"title":"Computers - Quantum Computing","description":"\u003cp\u003eFind quantum computing books, including the Qiskit textbook. 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It is ideal for educators, students, and self-learners seeking a strong mathematical foundation to master quantum mechanics and quantum algorithms.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCovers key mathematical concepts, including matrix algebra, probability, and Dirac notation, tailored for quantum computing.\u003c\/li\u003e\n\u003cli\u003eExplains essential topics like tensor products, matrix decompositions, Hermitian and unitary matrices, and their roles in quantum transformations.\u003c\/li\u003e\n\u003cli\u003eOffers a streamlined introduction to foundational math topics for quantum computing, with an emphasis on accessibility and application.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eAuthors\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDr. Peter Y. Lee (Ph.D., Princeton University) \u003c\/strong\u003e- Expert in quantum nanostructures with extensive experience in teaching and academic program leadership.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJames M. Yu (Ph.D., Rutgers University) \u003c\/strong\u003e- Expert in mathematical modeling, applied mathematics, and quantum computing, with extensive teaching experience.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDr. Ran Cheng (Ph.D., University of Texas at Austin) \u003c\/strong\u003e- Specialist in condensed matter theory and an award-winning physicist.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Peter Lee,James Yu,Ran Cheng\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Polaris Qci Publishing\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 03\/14\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 570\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.64lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 1.25d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781961880108\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003eLee, Peter:\u003c\/i\u003e\u003c\/b\u003e - 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.\u003cb\u003e\u003ci\u003eYu, James:\u003c\/i\u003e\u003c\/b\u003e - Dr. James M. Yu earned his Ph.D. in Mechanical Engineering from Rutgers University at New Brunswick, specialized in mathematical modeling and simulation of biophysical phenomena. Following his doctorate studies, He continued to conduct research as a postdoctoral associate at Rutgers University. Currently, he is a faculty member at Fei Tian College, Middletown where he dedicates to teaching mathematics, statistics, and computer science.\u003cb\u003e\u003ci\u003eCheng, Ran:\u003c\/i\u003e\u003c\/b\u003e - 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.","brand":"booksdeli.com","offers":[{"title":"Peter Lee \/ Hardcover \/ English","offer_id":47350973333661,"sku":"9781961880108","price":93.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0619\/5648\/9373\/files\/img_35c33f61-1acf-45a5-b0db-d6b17fce4932.jpg?v=1761684399"},{"product_id":"quantum-computing-an-applied-approach-9783030832735","title":"Quantum Computing: An Applied Approach","description":"\u003cp\u003eThis book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training.\u003c\/p\u003e\u003cp\u003eThe second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.\u003c\/p\u003e\u003cp\u003eThis volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJack D. Hidary\u003c\/b\u003e is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Jack D. Hidary\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Springer\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/03\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 422\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.00lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.40h x 6.30w x 0.90d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9783030832735\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eJack D. Hidary\u003c\/b\u003e focuses on AI and on quantum computing at Alphabet X, formerly Google X. He and his group develop and research algorithms for NISQ-regime quantum processors as well as create new software libraries for quantum computing. In the AI field, Jack and his group focus on fundamental research such as the generalization of deep networks as well as applied AI technologies.\u003c\/p\u003e\u003cbr\u003e","brand":"booksdeli.com","offers":[{"title":"Jack D. Hidary \/ Hardcover \/ English","offer_id":47474328993949,"sku":"9783030832735","price":67.48,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0619\/5648\/9373\/files\/img_96b26a16-d874-4d17-8a83-cb068bfe4116.jpg?v=1765397155"}],"url":"https:\/\/booksdeli.com\/collections\/computers-quantum-computing.oembed","provider":"booksdeli.com","version":"1.0","type":"link"}