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Gain a strategic advantage
with BQPhy®
with BQPhy®
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
> 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
APPLICATIONS
Solutions to complex optimization
across product lifecycle
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
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RESEARCH
BQP pioneers quantum-inspired algorithms
Solving toughest optimization challenges on HPCs today, quantum-ready for tomorrow
Benchmarking of GPU-optimized Quantum-Inspired Evolutionary Optimization Algorithm using Functional Analysis
Read the paper
Achieve computational gains with Quantum Inspired approaches
Coming Soon
Resource Efficient Algorithms for complex applications
Coming Soon
Collaborate for Research
Frequently asked questions
What is the BQPhy® Optimization Solver?
What industries benefit from BQPhy®?
What are BQPhy®’s proven applications?
What support is provided during pilots?
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