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Introduction to quantum computing

LaPierre, Ray.

Introduction to quantum computing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to quantum computingby Ray LaPierre.
作者:	LaPierre, Ray.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xvi, 366 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Quantum theory.
電子資源:	https://doi.org/10.1007/978-3-030-69318-3
ISBN:	9783030693183$q(electronic bk.)

Introduction to quantum computing
LaPierre, Ray.

Introduction to quantum computing[electronic resource] /by Ray LaPierre. - Cham :Springer International Publishing :2021. - xvi, 366 p. :ill. (some col.), digital ;24 cm. - The materials research society series,2730-7379. - Materials research society series..

Chapter 1: Superposition -- Chapter 2: Quantization -- Chapter 3: Spin -- Chapter 4: Qubits -- Chapter 5: Entanglement -- Chapter 6: Quantum Key Distribution -- Chapter 7: Quantum Gates -- Chapter 8: Teleportation -- Chapter 10: Computational Complexity -- Chapter 11: Deutsch Algorithm -- Chapter 12: Grover Algorithm -- Chapter 13: Shor Algorithm -- Chapter 14: Physical Implementation of Single-Qubit Gates -- Chapter 15: Electron Spin Resonance -- Chapter 16: Two-state Dynamics -- Chapter 17: Physical Implementation of Two-qubit Gates -- Chapter 18: DiVincenzo Criteria -- Chapter 19: Nuclear Magnetic Resonance -- Chapter 20: Solid-state Spin Qubits -- Chapter 21: Trapped Ion Quantum Computing -- Chapter 22: Superconducting Qubits -- Chapter 23: Adiabatic Quantum Computing -- Chapter 24: Optical Quantum Computing -- Chapter 25: Quantum Error Correction -- Chapter 26: Topological Quantum Computing.

This book provides a self-contained undergraduate course on quantum computing based on classroom-tested lecture notes. It reviews the fundamentals of quantum mechanics from the double-slit experiment to entanglement, before progressing to the basics of qubits, quantum gates, quantum circuits, quantum key distribution, and some of the famous quantum algorithms. As well as covering quantum gates in depth, it also describes promising platforms for their physical implementation, along with error correction, and topological quantum computing. With quantum computing expanding rapidly in the private sector, understanding quantum computing has never been so important for graduates entering the workplace or PhD programs. Assuming minimal background knowledge, this book is highly accessible, with rigorous step-by-step explanations of the principles behind quantum computation, further reading, and end-of-chapter exercises, ensuring that undergraduate students in physics and engineering emerge well prepared for the future.

ISBN: 9783030693183$q(electronic bk.)

Standard No.: 10.1007/978-3-030-69318-3doiSubjects--Topical Terms:

199020
Quantum theory.

LC Class. No.: QC174.12 / .L36 2021

Dewey Class. No.: 530.12

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505 0 $a Chapter 1: Superposition -- Chapter 2: Quantization -- Chapter 3: Spin -- Chapter 4: Qubits -- Chapter 5: Entanglement -- Chapter 6: Quantum Key Distribution -- Chapter 7: Quantum Gates -- Chapter 8: Teleportation -- Chapter 10: Computational Complexity -- Chapter 11: Deutsch Algorithm -- Chapter 12: Grover Algorithm -- Chapter 13: Shor Algorithm -- Chapter 14: Physical Implementation of Single-Qubit Gates -- Chapter 15: Electron Spin Resonance -- Chapter 16: Two-state Dynamics -- Chapter 17: Physical Implementation of Two-qubit Gates -- Chapter 18: DiVincenzo Criteria -- Chapter 19: Nuclear Magnetic Resonance -- Chapter 20: Solid-state Spin Qubits -- Chapter 21: Trapped Ion Quantum Computing -- Chapter 22: Superconducting Qubits -- Chapter 23: Adiabatic Quantum Computing -- Chapter 24: Optical Quantum Computing -- Chapter 25: Quantum Error Correction -- Chapter 26: Topological Quantum Computing.
520 $a This book provides a self-contained undergraduate course on quantum computing based on classroom-tested lecture notes. It reviews the fundamentals of quantum mechanics from the double-slit experiment to entanglement, before progressing to the basics of qubits, quantum gates, quantum circuits, quantum key distribution, and some of the famous quantum algorithms. As well as covering quantum gates in depth, it also describes promising platforms for their physical implementation, along with error correction, and topological quantum computing. With quantum computing expanding rapidly in the private sector, understanding quantum computing has never been so important for graduates entering the workplace or PhD programs. Assuming minimal background knowledge, this book is highly accessible, with rigorous step-by-step explanations of the principles behind quantum computation, further reading, and end-of-chapter exercises, ensuring that undergraduate students in physics and engineering emerge well prepared for the future.
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