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1. Random_maxcutRandom_maxcutPublic

   The max-cut problem on a random graph with 7 nodes is solved using QAOA, ED, Monte-Carlo, and simulated annealing.

   Jupyter Notebook 1 2

2. QAOA_vs_EDQAOA_vs_EDPublic

   Here we will compare one well-known (ED) and another new method (QAOA) for quantum simulations of many-body physics.

   Jupyter Notebook 3 1

3. my_QAOA_qiskitmy_QAOA_qiskitPublic

   In this repository, I will try to solve a classical Ising model in one dimension with periodic boundary conditions using Qiskit.

   Jupyter Notebook 3

4. Machine_and_deep_learningMachine_and_deep_learningPublic

   In this repository, I will train some of the machine learning models.

   Jupyter Notebook

5. Exact_diagonalization_spin_halfExact_diagonalization_spin_halfPublic

   I will try to construct a many-body Hamiltonian and solve it using the basic python modules. For concreteness, we will solve two examples, namely the transverse field Ising (TFI) model and the tori…

   Jupyter Notebook 5 1

6. MCMC_2d_isingMCMC_2d_isingPublic

   Using the Metropolis-Hastings algorithm here we will simulate the Ising model in two spatial dimensions.

   Jupyter Notebook 1