Hamiltonians are used to describe how physical systems change over time, whether that's electrons in a molecule, magnets interacting, or particles in accelerators. Quantum computers could simulate these systems much faster than regular computers, but they need very specific step-by-step instructions to do so. Writing these instructions by hand is incredibly tedious and error-prone, like writing machine code instead of using a modern programming language.
HamiltonianCompiler solves this problem by automatically translating physics equations into optimized quantum computer instructions. It's like a smart translator that understands both the language of physics and the language of quantum computers. The tool includes several clever algorithms that figure out the best way to translate your specific problem, then optimizes the result to run as efficiently as possible on real quantum hardware. This can make programs run twenty to forty percent faster than basic translation methods.
Whether you're a chemist studying new molecules for drug development, a chemist studying battery physics or catalysts, a condensed matter physicist exploring new materials or solar cells, or a researcher investigating fundamental questions about nature in particle accelerators or black holes (quantum gravity), this tool handles the complex translation work automatically. You describe your system the natural way physicists do, and the compiler takes care of turning that physical hamiltonian into a logical Hamiltonian a quantum computer can run. It comes complete with examples, extensive testing to ensure reliability, and detailed documentation to help you get started.
Researchers in quantum chemistry, condensed matter physics, materials science, and fundamental physics who want to use quantum computers without becoming quantum computing experts.
- Multiple translation algorithms that automatically choose the best approach for your problem
- Circuit optimization that makes programs shorter and more reliable
- Working examples for molecules, magnetic systems, and other physical applications
- Comprehensive testing and documentation
- A detailed technical white paper explaining how everything works
Full installation instructions, examples, and documentation are available in the repository. The tool requires Python and runs on any modern computer.
- FAQ - Common questions and answers
The license is CC BY-NC-SA 4.0 - you may not use the material for commercial purposes. To view a copy of this license, visit: https://creativecommons.org/licenses/by-nc-sa/4.0/
Open an issue on GitHub or check the FAQ for help getting started.