Introduction to quantum algorithms via linear algebra / Richard J. Lipton and Kenneth W. Regan

By:

Lipton, Richard J [Author]

Contributor(s):

Regan,Kenneth W [Joint Author]

Language: English Publication details: USA : The MIT Press, 2021.Edition: 2nd edDescription: xvi, 262 p. : ill. ; 19 cmISBN:

9780262045254 (hbk.)

Subject(s):

DDC classification:

004.1 LIP/I

Summary: Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics. This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but requires minimal background and assumes no knowledge of quantum theory or quantum mechanics. The book explains quantum computation in terms of elementary linear algebra; it assumes the reader will have some familiarity with vectors, matrices, and their basic properties, but offers a review of the relevant material from linear algebra. By emphasizing computation and algorithms rather than physics, it makes quantum algorithms accessible to students and researchers in computer science who have not taken courses in quantum physics or delved into fine details of quantum effects, apparatus, circuits, or theory.

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Technical Reference Book	Central Library, IIT Bhubaneswar	Central Library, IIT Bhubaneswar	SES		004.1 LIP/I (Browse shelf(Opens below))					Checked out		13/08/2026	11360

Total holds: 0

Includes bibliographical references and index

Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics. This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but requires minimal background and assumes no knowledge of quantum theory or quantum mechanics. The book explains quantum computation in terms of elementary linear algebra; it assumes the reader will have some familiarity with vectors, matrices, and their basic properties, but offers a review of the relevant material from linear algebra. By emphasizing computation and algorithms rather than physics, it makes quantum algorithms accessible to students and researchers in computer science who have not taken courses in quantum physics or delved into fine details of quantum effects, apparatus, circuits, or theory.

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