Description

Book Synopsis
Quantum robotics is an emerging engineering and scientific research discipline that explores the application of quantum mechanics, quantum computing, quantum algorithms, and related fields to robotics. This work broadly surveys advances in our scientific understanding and engineering of quantum mechanisms and how these developments are expected to impact the technical capability for robots to sense, plan, learn, and act in a dynamic environment. It also discusses the new technological potential that quantum approaches may unlock for sensing and control, especially for exploring and manipulating quantum-scale environments. Finally, the work surveys the state of the art in current implementations, along with their benefits and limitations, and provides a roadmap for the future.

Table of Contents
  • Preface
  • Acknowledgments
  • Notation
  • Introduction
  • Relevant Background on Quantum Mechanics
  • Quantum Search
  • Quantum Agent Models
  • Machine Learning Mechanisms for Quantum Robotics
  • Quantum Filtering and Control
  • Current Strategies for Quantum Implementation
  • Conclusion
  • Bibliography
  • Authors' Biographies
  • Index

Quantum Robotics: A Primer on Current Science and

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    A Paperback / softback by Prateek Tandon, Stanley Lam, Ben Shih

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      Book details

      Published 30 January 2017
      ISBN-13 9781627059138
      978-1627059138
      ISBN-10 162705913X

      Description

      Book Synopsis
      Quantum robotics is an emerging engineering and scientific research discipline that explores the application of quantum mechanics, quantum computing, quantum algorithms, and related fields to robotics. This work broadly surveys advances in our scientific understanding and engineering of quantum mechanisms and how these developments are expected to impact the technical capability for robots to sense, plan, learn, and act in a dynamic environment. It also discusses the new technological potential that quantum approaches may unlock for sensing and control, especially for exploring and manipulating quantum-scale environments. Finally, the work surveys the state of the art in current implementations, along with their benefits and limitations, and provides a roadmap for the future.

      Table of Contents
      • Preface
      • Acknowledgments
      • Notation
      • Introduction
      • Relevant Background on Quantum Mechanics
      • Quantum Search
      • Quantum Agent Models
      • Machine Learning Mechanisms for Quantum Robotics
      • Quantum Filtering and Control
      • Current Strategies for Quantum Implementation
      • Conclusion
      • Bibliography
      • Authors' Biographies
      • Index

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