Hands-on session 9

Session Recording

Lab book

Jupyter notebook

• 3-qubit Ising model in PyTorch
  • PennyLane implementation
  • Sanity check
  • Random initialization
  • Optimization
  • Local minimum
  • Send it after class |
• Two Types of Quantum Computers
  • Gate Model
  • Quantum Annealing
  • Formulating Problem for QA
  • Implementation Using Quantum Annealer
  • Preparation
  • Problem Setting
  • Dependencies
  • Cost and Constraint Function
• 1. Import historical stock price data from the internet
• 2. Prepare data by cleansing and feature engineering
  • Feature Engineering
  • Constraint Terms
  • Cost Functions
  • Prepare QUBO
• 4. Sample optimisation results from a D-Wave solver
• 5. Sample optimisation results from a simulated quantum annealing solver