QUANTUM COMPUTING ALGORITHMS how a little math goes a long way

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Birmingham, UK : Packt Publishing Ltd., 2023.
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Available Online

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English
ISBN
9781804610565, 1804610569

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Description
Explore essential quantum computing algorithms and master concepts intuitively with minimal math expertise required Key Features Learn the fundamentals with an introduction to matrix arithmetic Write quantum computing programs in Qiskit--IBM's publicly available quantum computing website Email your questions directly to the author--no question is too elementary Purchase of the print or Kindle book includes a free PDF eBook Book Description Navigate the quantum computing spectrum with this book, bridging the gap between abstract, math-heavy texts and math-avoidant beginner guides. Unlike intermediate-level books that often leave gaps in comprehension, this all-encompassing guide offers the missing links you need to truly understand the subject. Balancing intuition and rigor, this book empowers you to become a master of quantum algorithms. No longer confined to canned examples, you'll acquire the skills necessary to craft your own quantum code. Quantum Computing Algorithms is organized into four sections to build your expertise progressively. The first section lays the foundation with essential quantum concepts, ensuring that you grasp qubits, their representation, and their transformations. Moving to quantum algorithms, the second section focuses on pivotal algorithms -- specifically, quantum key distribution and teleportation. The third section demonstrates the transformative power of algorithms that outpace classical computation and makes way for the fourth section, helping you to expand your horizons by exploring alternative quantum computing models. By the end of this book, quantum algorithms will cease to be mystifying as you make this knowledge your asset and enter a new era of computation, where you have the power to shape the code of reality. What you will learn Define quantum circuits Harness superposition and entanglement to solve classical problems Gain insights into the implementation of quantum teleportation Explore the impact of quantum computing on cryptography Translate theoretical knowledge into practical skills by writing and executing code on real quantum hardware Expand your understanding of this domain by uncovering alternative quantum computing models Who this book is for This book is for individuals familiar with algebra and computer programming, eager to delve into modern physics concepts. Whether you've dabbled in introductory quantum computing material or are seeking deeper insights, this quantum computing book is your gateway to in-depth exploration.
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition

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Citations

APA Citation, 7th Edition (style guide)

Burd, B. (2023). QUANTUM COMPUTING ALGORITHMS: how a little math goes a long way . Packt Publishing Ltd..

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Burd, Barry. 2023. QUANTUM COMPUTING ALGORITHMS: How a Little Math Goes a Long Way. Birmingham, UK: Packt Publishing Ltd.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Burd, Barry. QUANTUM COMPUTING ALGORITHMS: How a Little Math Goes a Long Way Birmingham, UK: Packt Publishing Ltd, 2023.

Harvard Citation (style guide)

Burd, B. (2023). QUANTUM COMPUTING ALGORITHMS: how a little math goes a long way. Birmingham, UK: Packt Publishing Ltd.

MLA Citation, 9th Edition (style guide)

Burd, Barry. QUANTUM COMPUTING ALGORITHMS: How a Little Math Goes a Long Way Packt Publishing Ltd., 2023.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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83456f2b-bbd2-da52-a584-aa0aafc50f0e-eng
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Grouped Work ID83456f2b-bbd2-da52-a584-aa0aafc50f0e-eng
Full titlequantum computing algorithms how a little math goes a long way
Authorburd barry
Grouping Categorybook
Last Update2025-01-24 12:33:29PM
Last Indexed2025-02-07 03:19:15AM

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