Navigation

  • index
  • next |
  • previous |
  • OpenJij Tutorial 0.3.0 documentation »
  • OpenJij Tutorial

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

Previous topic

Welcome to OpenJij’s Tutorial!

Next topic

OpenJij Tutorial

This Page

  • Show Source

Quick search

Navigation

  • index
  • next |
  • previous |
  • OpenJij Tutorial 0.3.0 documentation »
  • OpenJij Tutorial
© Copyright 2021, Jij Inc.. Created using Sphinx 4.0.1.