openfermion-hamiltonian

Solid

Molecular Hamiltonian construction skill using OpenFermion

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
46
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# OpenFermion Hamiltonian ## Purpose Provides expert guidance on molecular Hamiltonian construction and fermion-to-qubit mappings using OpenFermion for quantum chemistry applications. ## Capabilities - Molecular Hamiltonian generation - Jordan-Wigner transformation - Bravyi-Kitaev transformation - Parity transformation - Second quantization handling - Symmetry reduction - Active space selection - Hamiltonian term grouping ## Usage Guidelines 1. **Molecular Setup**: Define molecular geometry and basis set 2. **Hamiltonian Generation**: Compute molecular integrals and construct Hamiltonian 3. **Transformation Selection**: Choose appropriate fermion-to-qubit mapping 4. **Qubit Reduction**: Apply symmetry and active space reductions 5. **Term Analysis**: Analyze Hamiltonian structure for circuit design ## Tools/Libraries - OpenFermion - OpenFermion-PySCF - OpenFermion-Psi4 - Qiskit Nature - PennyLane

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills