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vqepy's Introduction

About me

Hello there, I'm Javier.

Projects

  • HandWritting: A web app to read handwritten characters in some alphabets.
    • The available alphabets are hiragana, hangul and cyrillic.
  • ALT: A software that helps you in to review the things you learn in a language.
  • WeatherCheck: A software to indicate the weather prediction in the current day through a console interface.
    • The available countries are Chile and Argentina.
  • VqePy: Python library that implement a interface to construct spin model representantions and execute variational quantum algorithms.
    • The available models are Molecules, Fermi-Hubbard and spin models.
    • The available methods are VQE.
  • SpinSim.py: Python package that allow to construct matrix representations of spin models and compute some quatities of interest.
  • SpinSim.jl: Julia version of the SpinSim.py.
  • SMMCodes: Repository with scripts to simulate different SMM and their differents properties.
  • C++ quantum circuit: My implementation of a quantum circuit in C++ having a small set of gates. -->

vqepy's People

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vqepy's Issues

Refactor code

Considering the new versions of the libraries, do an review and correction of any changes that affect the workflows and see new functionalities.

Compute exact diagonalization

Numpy matrix

Create a function that can take Pennylane's hamiltonian into a numpy array, this function should be into the classes

Numpy eigenvector and eigenvalues

Create a general function that can compute the eigenvector and eigenvalues of any square matrix.

Test for the H2

Construct a test that build the hamiltonian for the H2 molecule using different optimizers and see that give the same value (with a tolerance of 1e-6).

Add new model

Add an spin model for an arbitrary value of spin, a boson-fermi hubbard and a fermi hubbard that consider more than two fermions per site.

Adding custom lattice

Create functions that allows us to create customs lattices for fermi-hubbard and spin 0.5, the output should be equal to the library networkx.
Input: List of tuples that represent the lattice.
Output: List of nodes and paths in networkx format.

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