dmark04 / trackhhl

TrackHHL

This repository contains an implementation of a track reconstruction algorithm using the HHL quantum algorithm, described in this article.

Installation

This project uses Poetry to manage dependencies. After installing it, clone this repo and install the dependencies in a virtual environment using Poetry.

git clone https://github.com/dnicotra/TrackHHL.git
cd TrackHHL
poetry install

You can then run your own script with

poetry run python your_script.py

or activate the environment in your shell with

poetry shell

Description

• notebooks\: contains a few IPython notebooks that show the usage of the code
• tests\: contains several automatic tests
• trackhhl\: the main library
  • event_model\: contains the data-models Hit, Module, Track, Event, Segment and MCInfo
  • hamiltonians\: contains the abstract class Hamiltonian and the implementation of the SimpleHamiltonian used in the article. The SimpleHamiltonian class can be used to solve a tracking problem using a classical linear solver (with the method solve_classically) or using the Qiskit implementation of the HHL algorithm (with the method solve_hhl). Check notebooks\example.ipynb for the basic usage.
  • toy\: contains the toy-model used for numerical simulations in the article