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


Published: 24 August 2017 ID: G00334711

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Summary

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
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