BQPhyToolbox

BQPhy toolbox with MEX binaries and sample data.

https://www.bqpsim.com/product-overview

버전 1.5 (381 KB)
다운로드 수: 80
(2)
2026/3/11

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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
Demo of BQPhy Toolbox

인용 양식

BosonQ Psi (2026). BQPhyToolbox (https://kr.mathworks.com/matlabcentral/fileexchange/181395-bqphytoolbox), MATLAB Central File Exchange. 검색 날짜: .

Kumar, Kandula Eswara Sai, et al. "Benchmarking of gpu-optimized quantum-inspired evolutionary optimization algorithm using functional analysis." arXiv preprint arXiv:2412.08992 (2024).

일반 정보

MATLAB 릴리스 호환 정보

  • R2014b 이상 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux
새 탭에서 열기
버전 퍼블리시됨 릴리스 정보
1.5

License Agreement Update, and License & Security Patches
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
1.03

Description Update
1.02

Updating Description
1.1

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1.0