BQPhyToolbox
BQPhy toolbox with MEX binaries and sample data.
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Revolutionize Optimization with BQPhy
BQPhy© is BosonQ Psi’s flagship quantum-powered simulation platform, built to accelerate complex modeling workflows across industries like aerospace, defense, and scientific computing. At its core is QIEO™ (Quantum-Inspired Evolutionary Optimization) — a proprietary, gradient-free solver designed to tackle high-dimensional, non-convex, and black-box optimization problems with unmatched efficiency.
Key advantages of QIEO:
- Fewer model evaluations, drastically reducing computation time
- Performance for scalable, real-time optimization
- Robust results in noisy, constraint-heavy environments
- Seamless integration with MATLAB and other modeling tools
Whether you're optimizing logistics, mission planning, or engineering simulations, BQPhy and QIEO deliver quantum-inspired speed, precision, and adaptability—ready to transform your workflow today.
Currently supports serial executions, with capabilities in Continuous and Binary Optimization problems, with future builds supporting HPC featues
Zitieren als
BosonQ Psi (2026). BQPhyToolbox (https://de.mathworks.com/matlabcentral/fileexchange/181395-bqphytoolbox), MATLAB Central File Exchange. Abgerufen .
Kumar, Kandula Eswara Sai, et al. "Benchmarking of gpu-optimized quantum-inspired evolutionary optimization algorithm using functional analysis." arXiv preprint arXiv:2412.08992 (2024).
Allgemeine Informationen
- Version 1.5 (381 KB)
Kompatibilität der MATLAB-Version
- Kompatibel mit R2014b und späteren Versionen
Plattform-Kompatibilität
- Windows
- macOS
- Linux
| Version | Veröffentlicht | Versionshinweise | Action |
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| 1.5 | License Agreement Update, and License & Security Patches |
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| 1.4 | Support for vectorization with models, constraint functions for constrained-based optimization, and batch size for concurrent evaluation of design points generated by the optimization algorithm |
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| 1.03 | Description Update |
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| 1.02 | Updating Description |
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| 1.1 | * |
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| 1.0 |
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