Create a VQE (Variational Quantum Eigensolver) circuit from scratch. With this home-made VQE circuit applicants must find the lowest eigenvalue state of the following matrix:
The source code for the VQE in contained entirely in vqe.py with the supplemental conceptual overview as well as implementation notes contained in vqe.ipynb. I also created an additional library called optimizer.py in order to experiment with classical optimizers in the context of VQE.
The Jupyter notebooks covers the following topics:
- Concepts and implementation of the VQE Circuit
- Notes and thoughts on Python implementation
- Experimenting with classical optimizers and noise models
- Where do we go from here? (Questions and topics to explore)
A requirements.txt file is also included in this repository to install the small amount of Python dependencies, necessary for running the VQE algorithm.
DEPENDENCIES
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qiskit>=0.20.1
numpy>=1.19.2
scikit-quant>=0.7.0
matplotlib>=3.3.2