Quantum Machine Learning Presentation Report (PPT)


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  • Quantum machine learning is the integration of quantum algorithms within machine learning programs.

Quantum Machine Learning Presentation Report

Page Length: 42

Covered Topic :

  • Introduction
  • Linear algebra simulation with quantum amplitudes
  • Quantum Computing
  • Quantum Machine Learning
  • Grover based algorithms for Quantum Machine Learning
  • Grover algorithm
  • Grover algorithm, qRAM version
  • Random Access Memory
  • Quantum Random Access Memory (qRAM)
  • Grover Algorithm and qRAM
  • Type of Complexity Grover Algorithm and qRAM
  • Extended Grover Algorithm and qRAM
  • Machine Learning
  • Nearest-Neighbor Method for Supervised Learning
  • (Unsupervised) Machine Learning
  • Quantum Basic Linear Algebra Subroutines (qBLAS) AKA HHL
  • qBLAS Caveats
  • Quantum tunneling versus thermalization
  • HP’s Dot-Product Engine for Neuromorphic Computing
  • Compute Power, or Data Storage & Movement: Which one is more important in Machine Learning?
  • Adiabatic quantum computation (Quantum Annealing)
  • Optimization, an important ingredient of Machine Learning
  • Conclusion
  • Challenges & Future Work

Additional information

Product Name

Quantum Machine Learning Presentation Report (PPT)

Product Size

3.95 MB


File Format

File Category


Need For

College, Semester, University

Product Type

Created By

Abhishek Pal (NIT Agartala)

Uploaded By

Roop Chandra

Requested By

Jaisimha Manipatruni (Nano-Technology Department)




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