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Quantum Machine Learning
Quantum Computing

Course Overview

Quantum Machine Learning combines quantum algorithms with classical ML to achieve potential speedups on learning tasks. This course covers quantum kernel methods, variational quantum classifiers, quantum neural networks, and the frontier of quantum advantage in ML.

Who Is This For & Prerequisites

  • Quantum Algorithms and Quantum Circuits
  • Classical machine learning fundamentals
  • Python with NumPy and scikit-learn

What You'll Learn

Understand the theoretical basis for quantum speedup in ML tasks
Implement quantum kernel methods and quantum support vector machines
Build and train variational quantum classifiers
Design and train quantum neural networks (QNNs)
Compare quantum ML performance against classical ML baselines

Curriculum

1Foundations of Quantum ML
  • Quantum vs classical ML landscape
  • Data encoding (amplitude, angle, basis)
  • Quantum feature maps
  • Expressibility and entanglement capacity
2Quantum Kernel Methods
  • Quantum kernel definition
  • Fidelity-based quantum kernels
  • Quantum SVM
  • Kernel alignment techniques
3Variational Quantum Classifiers
  • Parametric ansatz design
  • Training with gradient descent
  • Parameter shift rule
  • Barren plateaus problem
4Quantum Neural Networks
  • QNN architecture
  • Data re-uploading model
  • Continuous-variable QNNs
  • Hybrid classical-quantum networks
5Generative Quantum Models
  • Quantum Boltzmann machines
  • Quantum GANs
  • Born machines
  • Quantum circuit Born machines
6Quantum Advantage Analysis
  • Dequantization results
  • When quantum ML provides real speedup
  • Sample complexity analysis
  • PAC learning bounds
7QML Frameworks: Qiskit ML and PennyLane
  • Qiskit Machine Learning library
  • PennyLane autodiff
  • TensorFlow Quantum basics
  • Framework comparison
8Hands-on QML Project
  • Binary classification with QVC
  • Quantum kernel SVM on real data
  • QNN training benchmark
  • Results comparison with classical

Course Details

Duration
45 Hours
Delivery
Instructor-Led, Virtual Live, Onsite
Labs
Included
Certificate
Yes

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AdvancedLabsCertification

Quantum Machine Learning

Duration45 Hours
FormatInstructor-Led, Virtual Live, Onsite
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