Results
Optimization Solver
Optimization Solver

Benchmarking BQPhy®'s QIEO Algorithm: Up to 3.9x Faster Than Genetic Algorithms

Contact Us
Thank you! Your PDF will get downloaded automatically.
Oops! Something went wrong while submitting the form.
Challenges
  • High-dimensional engineering optimization in digital missions is computationally expensive for traditional classical, gradient, and meta-heuristics algorithms.
  • Numerous cost function evaluations are required for complex problems which leads to
    • Convergence at local minima
    • Suboptimal designs
    • Inefficient simulations

Results

  • Implementing QIEO on existing GPU systems enhances parallelization, increases search space exploration capabilities and achieves greater accuracy
  • QIEO achieved speedups of up to 3.9x across benchmark functions (2.9x for Ackley, 3.9x for Rosenbrock, and 3.84x for Rastrigin).

‍

  • It required significantly fewer function evaluations (up to 12x fewer for Ackley) and converged up to four times faster than GA (one-fourth the time for Rosenbrock and Rastrigin). Accurate identification of global minima (even if multiple) leading to More optimal design
  • Akley, Rastrigin, and Rosenbrock Test functions, known as artificial landscapes, were used to evaluate characteristics of BQPhy QIEO such as convergence rate, precision, robustness and general performance

‍

QIEO Outperforms Genetic Algorithms

3.9x

Speed up Convergence

‍

12x
Fewer Function Evaluations
4x
Faster
Go Beyond Classical Limits.
Explore with a commitment-free Proof of Concept.
Schedule Call
Get in touch for a no obligation proof-of concept
Schedule a Call
More to Explore
SEE ALL
Optimization Solver
Airfoil Shape Optimization Using Surrogate model & QIO
Achieved high-accuracy drag prediction with R² = 0.996 and improved design convergence|| Faster exploration • Reduced evaluation cost • Stable optimization
Check Out
Optimization Solver
Optimized Gate Allocation: Operational Resilience for Airline Gate Scheduling
BQPhy’s QIO solver delivers up to 3X faster convergence than Classical Algorithms for dynamic airport gate assignments, while consistently producing conflict-free schedules.
Check Out
Physics-Based Solver
Quantum CFD Achieves 100× Circuit Compression
BQPhy's QCFD algorithm, Classiq’s compiler and NVIDIA GPU simulators enabled 100× circuit-depth reduction and successful scaling to the 2D Poisson equation for quantum-accelerated PDE solving.
Check Out
USA Office
Head Quarters : 235 Harrison St, Syracuse, NY 13202 USA
India Office
#2743, 15th cross 27th main road 2nd floor HSR 1st sector Bangalore -560102
Cookies
Company
Home
Product
About Us
Blogs
Career
General
bizdev@bqpsim.com
Career
careers@bqpsim.com
Join our newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
© 2026 BQP. All rights reserved.