Quantum Computing: A Research Project or a Practical Computing Architecture for Machine Learning?

Published: 24 August 2017 ID: G00334711

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Quantum computing is heavily hyped and evolving at different rates, but it should not be ignored. It holds great promise, especially in the areas of machine learning, AI and cryptography. This research shows technical professionals the future advantages and pitfalls of quantum computing.

Table of Contents

  • Analysis
    • What Is Quantum Computing?
    • How Many Qubits Are Needed and Why?
      • Quantum Supremacy
    • Different Models of Quantum Computing
      • Quantum Computing as a Service
    • Quantum Machine Learning Offering New Powers to AI
      • Improving Classic Learning Algorithms
      • Impact of Quantum Computing on Classic Learning Algorithms
    • Quantum Computing Impact on Security
  • Recommendations
  • Conclusion
  • The Details
    • Key Quantum Terms
  • Gartner Recommended Reading
© 2017 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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