BQPhy®'s Optimization Solver. Powered by Quantum

Gain a strategic advantage
with BQPhy®

COMMERCIAL ACCESS

Optimization

RESEARCH ACCESS

Physics Based

RESEARCH ACCESS

Data Driven

BQPhy®’s quantum inspired approach to optimization

BQPhy® leverages QIEO (Quantum-Inspired Evolutionary Optimization) algorithms as part of its Optimization solver to efficiently solve complex computationally intensive optimization problems in various fields, including engineering and data science.
‍
> Enhanced Computational Efficiency
> Versatile Applications
> Scalable & Adaptive

Pushing the limits of classical hardware for complex optimization by

Faster Exploration of vast solution space

Reducing number of iterations for optimal solution.

Each iteration takes less time enhancing GPU efficiency

Escaping local minima to find more optimal solutions

Optimizing trainable parameters in machine learning models

Get Started

APPLICATIONS

Solutions to complex optimization
across product lifecycle

System Level Design Optimization

BQPhy®’s Optimization solver provides faster and better results for very complex designs. Handling linear and non-linear optimization, its quantum-inspired approach explores vast design spaces and is integral to the Digital Mission Engineering paradigm

Use Case 1

Light Weighting

Achieved additional 6% weight reduction when compared to traditional solvers, with specific strength and stiffness requirements.

Use Case 2

Volume and compliance minimization

BQPhy® optimized airfoil structural volume by 50% while reduced weights by 60% without compromising strength.

DME Optimization

In missile systems and flight path planning, precise route optimization is crucial. A small error can lead to failure. To balance complex factors like terrain, threats, and payload efficiency BQPhy®’s quantum powered optimization maximizes mission success, minimize risks, and ensure strategic objectives are met effectively.

Use Case 1

Flight path Optimization

Minimized fuel consumption by 4%, emissions 6%, and reduced cumulative flight time by 6.5 hours for the airline fleet resulting in annual fuel saving of $40 Mn

Use Case 2

Trajectory Optimization

Maximizing impact precision for missile systems while minimizing energy consumption

Mission Scheduling

Scheduling optimization for projects with tight timelines is crucial for maximizing resource utilization, minimizing delays for accelerating development cycles and maintaining the competitive edge

Use Case 1

Supply chain optimization

Optimized supply chain for timely delivery, cost efficiency, and operation readiness

Use Case 2

Logistic Optimization

Reduced total shipping cost by 30% and optimizing processes of shipping operations

Placement Optimization

Quantum-powered placement optimization for complex systems like satellites and chip design, achieve better optimization results that are beyond classical algorithms & capabilities

Use Case 1

Satellite placement

Optimized placement of 12 satellites across 4 constellations with as little as 33 Qubits outpacing traditional algorithms by 5x faster convergence to solution

Use Case 2

Drone Swarm placement

Optimized placement of drone swarms for efficiency and optimum coverage in complex aerial operations.

Load Optimization

In the high-stakes aerospace and space sectors, advanced optimization techniques are paramount. They maximize operational efficiency, minimize costs, enhancing mission success rates and profitability

Optimized Payload Utilization

Maximizing payload efficiency ensures cost-effective missions and increased revenue.

Efficient Launch Vehicle

Enhancing capacity utilization and optimizing deployment sequences reduce costs and launch risks.

Schedule a Call

Frequently asked questions