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  1. Random_maxcut Random_maxcut Public

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

    Jupyter Notebook 2

  2. QAOA_vs_ED QAOA_vs_ED Public

    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_qiskit my_QAOA_qiskit Public

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

    Jupyter Notebook 2

  4. Machine_and_deep_learning Machine_and_deep_learning Public

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

    Jupyter Notebook

  5. Exact_diagonalization_spin_half Exact_diagonalization_spin_half Public

    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 2 1

  6. MCMC_2d_ising MCMC_2d_ising Public

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

    Jupyter Notebook 1