/QOSF-Fall-2023

QOSF Fall 2023 QRNN project repo

Primary LanguageJupyter Notebook

Quantum Recurrent Neural Network

QOSF mentorship program

November, 2023

Mentor: Dr. Vesselin G. Gueorguiev

Mentees: Sai Harvin Kusumaraju, Areli Yesareth Guerrero Estrada

Project Description:

Requirements:

The Jupyter Notebook is written in Python, and the following packages are needed to run the code:

  • PennyLane: a cross-platform Python library for differentiable programming of quantum computers, which in this tutorial will be used to create quantum circuits and interface them with
  • PyTorch: an open-source platform for machine learning, here used to build a custom model of a Recurrent Neural Network (RNN)
  • Numpy, Matplotlib: standard libraries for array manipulation and plotting

References:

[1] Rodrigo Araiza Bravo, Khadijeh Najafi, Xun Gao, and Susanne F. Yelin, “Quantum Reservoir Computing Using Arrays of Rydberg Atoms,” arXiv e-prints, arXiv:2111.10956 (2022)