Quantum Chemistry and Computing for the Curious
Explore quantum chemistry with Python and Qiskit through modern algorithms and real-world examples
Created by Keeper Layne Sharkey, Alain Chancé
Dive into the world of quantum chemistry and computing using Python and Qiskit. Explore modern algorithms, noise-aware simulations, and quantum machine learning through practical, hands-on examples. Build the skills you need to model molecular systems and apply cutting-edge quantum techniques.
Packt | Jul 2026 | 492 min
What You Will Learn
You will start by learning the core principles of quantum mechanics and how they apply to chemistry. Step by step, you will use Python and Qiskit to build quantum circuits, run simulations, and implement algorithms like VQE and QPE. Along the way, you will tackle realistic challenges such as noise and error mitigation, and explore quantum machine learning for molecular prediction.
Key Features
- Build and analyze quantum circuits for chemistry using Qiskit and Python
- Apply noise-aware simulations and error mitigation to real quantum systems
- Explore quantum machine learning and advanced algorithms for molecular prediction
Target Audience
This course is ideal for learners with a background in chemistry, computer science, or related fields who want to deepen their understanding of quantum computing for chemistry. If you have basic knowledge of algebra, chemistry, and Python, you will be able to follow along and gain practical skills for research or a future career in quantum computational chemistry.
