Technical requirements
We provide a link to a companion Jupyter notebook of this chapter, which has been tested in the Google Colab environment, which is free and runs entirely in the cloud, and in the IBM Quantum Lab environment. Please refer to Appendix B – Leveraging Jupyter Notebooks in the Cloud, for more information. The companion Jupyter notebook automatically installs the following list of libraries:
- NumPy [NumPy], an open source Python library that is used in almost every field of science and engineering
- Qiskit [Qiskit], an open source SDK for working with quantum computers at the level of pulses, circuits, and application modules
- Qiskit visualization support to enable the use of visualizations and Jupyter notebooks
- Qiskit Nature [Qiskit_Nature] [Qiskit_Nat_0], a unique platform that bridges the gap between natural sciences and quantum simulations
- Python-based Simulations of Chemistry Framework (PySCF), [PySCF], an open source collection of electronic...