OpenQP

OpenQP (Open Quantum Platform) is a modern quantum chemistry software package developed by the Choi Group (Kyungpook National University). It features the implementation of Mixed-Reference Spin-Flip Time-Dependent Density Functional Theo…

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Overview

OpenQP (Open Quantum Platform) is a modern quantum chemistry software package developed by the Choi Group (Kyungpook National University). It features the implementation of Mixed-Reference Spin-Flip Time-Dependent Density Functional Theory (MRSF-TDDFT). This method addresses the critical issue of spin contamination in conventional Spin-Flip TDDFT, allowing for accurate description of ground and excited states with multireference character, conical intersections, and diradicals.

Reference Papers

Reference papers are not yet linked for this code.

Full Documentation

Official Resources

  • Homepage: https://github.com/Open-Quantum-Platform/openqp
  • Documentation: In repository / Source code
  • Source Repository: https://github.com/Open-Quantum-Platform/openqp
  • License: Apache License 2.0

Overview

OpenQP (Open Quantum Platform) is a modern quantum chemistry software package developed by the Choi Group (Kyungpook National University). It features the implementation of Mixed-Reference Spin-Flip Time-Dependent Density Functional Theory (MRSF-TDDFT). This method addresses the critical issue of spin contamination in conventional Spin-Flip TDDFT, allowing for accurate description of ground and excited states with multireference character, conical intersections, and diradicals.

Scientific domain: Multireference electronic structure, excited states, spin-flip methods, conical intersections Target user community: Electronic structure theorists, photochemists studying diradicals and bond breaking

Theoretical Methods

  • Mixed-Reference Spin-Flip TDDFT (MRSF-TDDFT)
  • Spin-Flip TDDFT (SF-TDDFT)
  • Conventional TDDFT
  • Hartree-Fock (HF) and DFT ground states
  • Analytic gradients for MRSF-TDDFT
  • Non-adiabatic coupling vectors (MRSF-TDDFT)
  • Linear Response Theory

Capabilities (CRITICAL)

  • Ground and excited state energies
  • Geometry optimization (ground and excited)
  • Conical intersection search (MECP)
  • Non-adiabatic coupling calculation
  • Correction of spin contamination
  • Proper description of S0-S1 degeneracy in diradicals
  • Accurate singlet-triplet gaps

Sources: GitHub repository, published papers (JCTC, JCP)

Key Strengths

MRSF-TDDFT Method:

  • Eliminates spin contamination of SF-TDDFT
  • Balanced description of response states
  • Accurate for bond-breaking
  • Accurate for conical intersections

Analytic Gradients:

  • Geometry optimization for excited states
  • Dynamics simulations (via PyOQP)
  • MECP optimization capability

Modern Architecture:

  • Python/C++ hybrid (PyOQP)
  • Modular design
  • Open-source license

Inputs & Outputs

  • Input formats:

    • Python scripts (PyOQP)
    • Input blocks for molecules and methods
  • Output data types:

    • Energies and gradients
    • Spin expectation values <S^2>
    • Optimized geometries
    • NAC vectors

Interfaces & Ecosystem

  • Language: C++ core, Python interface
  • Parallelization: OpenMP
  • Libraries: Eigen3, Libint2
  • Ecosystem: Can be used as a library or standalone

Advanced Features

Conical Intersection Optimization:

  • Analytic gradients allow efficient search
  • Correct topology at CX thanks to MRSF
  • Avoids artifical cusps of standard TDDFT

Diradical Physics:

  • Accurate singlet-triplet splitting
  • Proper handling of open-shell singlets
  • Double excitation retrieval

Performance Characteristics

  • Speed: Comparable to standard TDDFT/SF-TDDFT
  • Accuracy: Superior to TDDFT for multireference cases
  • Scaling: N^3 to N^4 depending on implementation
  • Parallelization: Shared memory (OpenMP)

Computational Cost

  • Memory: Moderate (density matrices)
  • Time: Similar to regular TDDFT linear response
  • Optimization: Efficient analytic gradients

Limitations & Known Constraints

  • Feature set: Focused on (SF-)TDDFT, less comprehensive than Gaussian/Q-Chem
  • Basis sets: Depends on libint support
  • Solvation: Functionality may be limited compared to major codes

Comparison with Other Codes

  • vs Q-Chem: Q-Chem has SF-TDDFT, but MRSF-TDDFT is OpenQP's specialty
  • vs PySCF: OpenQP focused on specific MRSF methodology
  • vs GAMESS: OpenQP more modern C++ architecture
  • Unique strength: Reference implementation of MRSF-TDDFT

Application Areas

  • Photoswitches: Azobenzene, diarylethenes (conical intersections)
  • Diradicals: Perylene diimide, organic magnetic materials
  • Bond breaking: Photodissociation curves
  • Singlet Fission: Electronic state characterization

Best Practices

  • Reference State: Choose appropriate high-spin triplet reference
  • Functional: BHHLYP often used for SF-TDDFT
  • Validation: Check <S^2> values for spin purity
  • Active Space: Implicit in SF method, check orbital ordering

Community and Support

  • Open-source Apache 2.0
  • Developed by Choi Group
  • GitHub issues
  • Academic publications serve as documentation foundation

Verification & Sources

Primary sources:

  1. GitHub: https://github.com/Open-Quantum-Platform/openqp
  2. Y. I. Carreras, H. Park, A. Jiang, C. H. Choi, J. Chem. Phys. 153, 214107 (2020)

Confidence: VERIFIED - Research group code

Verification status: ✅ VERIFIED

  • Official homepage: ACCESSIBLE
  • Source code: OPEN (Apache 2.0)
  • Method: MRSF-TDDFT (Scientifically verified)
  • Specialized strength: Eliminating spin contamination in SF-TDDFT

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