OpenJij Tutorial

• OpenJij Tutorial
  • Comment
• 1-An Introduction to OpenJij
  • The Ising model
  • Sampler
  • sample_ising(h, J)
  • Response
• 2-An Evaluation of Annealing Algorithms
  • Time to solution
  • Compute TTS
  • solver_benchmark function
• How to use the standard error function of benchmark functions
  • Install Libraries and model preparation
  • Benchmark function
• 3-PyQUBO with OpenJij
  • Formulation of QUBO with PyQUBO
  • Run with OpenJij
  • Conclusion
• 4-Introduction to D-Wave Ocean SDK
  • Formulation
  • Optimization on D-Wave machine
  • Conclusion
• 5-OpenJij GPU
  • Setup and installation in Google Colab
  • Calculation with GPUSQA
  • Execution
  • Embedding the All-Coupled Model in Chimeragraph
• 6-Machine Learning (QBoost) with Quantum Annealing
  • Clustering
  • QBoost
• 7-MonteCarlo Sampling
  • Binder cumulant
  • Conclusion
• A1 - Introduction to OpenJij core interface (core Python interface)
  • About OpenJij core interface
  • Run problem
  • List of Modules
• A2 - Introduction to OpenJij core interface (C++ interface)
  • Run a problem
• A3 - Classical ising model
  • Set System
  • Run algorithms -Updater, Algorithm-
  • Get result -Result-
  • C++ core interface
• A4 - Quantum ising models
  • Transeverse field ising model
  • Continuous imaginary-time quantum MonteCarlo