By submitting your information, you authorize its processing for service provision, communications, and relevant updates, in accordance with our Privacy Policy
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
DATA DRIVEN SOLVER
Accelerate speed, accuracy, and complexity of machine learning tasks
Gain a strategic advantage
with BQPhy®
COMMERCIAL ACCESS
Optimization
Powered by Quantum-Inspired Techniques
RESEARCH ACCESS
Physics Based
Powered by Hybrid Quantum-Classical Techniques
RESEARCH ACCESS
Data Driven
Powered by Hybrid Quantum-Classical Techniques
Accelerate speed, accuracy, and of
machine learning models
BQPhy® utilizes Hybrid Machine Learning algorithms to enhance speed, accuracy, and efficiency of machine learning models. Designed for computer vision applications in aerospace and defense, our solver optimizes mission-critical tasks, including object detection, target tracking, and anomaly detection.

> Enhanced Accuracy

> Faster Computation

> Mission-Critical Reliability
Traditional machine learning requires computing power, especially for solving complex tasks. Hybrid Quantum Transfer Learning addresses this by combining quantum computing, requiring less training and enabling efficient learning.
Reduces trainable parameters
Better Generalization with limited datasets
Higher accuracy with fewer training epochs
Advanced feature extraction and compression
Adaptive parameter optimization
Get Started
APPLICATIONS
Solutions to complex optimization
across product lifecycle
Defect Detection
By leveraging BQP's Data Driven Simulation solver, manufacturers can achieve unprecedented levels of quality control, operational efficiency, and cost savings in their defect detection processes
Surface Crack Detection
Improves accuracy in identifying surface defects
Natural Language Processing
Optimize large language models, reducing computational requirements while maintaining linguistic understanding and generation capabilities.
Enhancing NLP Model Efficiency
Optimize large language models, reducing computational requirements while maintaining linguistic understanding and generation capabilities.
Computer Vision
Enhance image classification and object detection models, enabling real-time processing on edge devices with limited resources.
Real-Time Computer Vision
Enhance image classification and object detection models, enabling real-time processing on edge devices with limited resources.
RESEARCH
BQP pioneers quantum-inspired algorithms
Solving toughest optimization challenges on HPCs today, quantum-ready for tomorrow
Benchmarking Quantum-Assisted PINN (QA-PINN) for Computational Fluid Dynamics
Read the paper
Achieve computational gains with Quantum Inspired approaches
Coming Soon
Resource Efficient Algorithms for complex applications
Coming Soon
Quantum Inspired Optimization for MDO problem
Coming Soon
Frequently asked questions
Why does fewer parameters accelerate training?
How does BQP's solver integrate with QA-PINN?
Are there benchmarks showcasing QA-PINN advantages?
Can QA-PINN handle large datasets efficiently?
Partner with us to
pioneer simulation research
Schedule a Call
Join our newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
© 2025 BosonQ Psi Corp. All rights reserved.