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Introducing BQPhy®

Solve complex, mission-critical problems that are intractable with traditional approaches

Gain a strategic advantage
with BQPhy®

COMMERCIAL ACCESS

Optimization

RESEARCH ACCESS

Physics Based

RESEARCH ACCESS

Data Driven

Farewell to the software from Y2K era!

Traditional simulation algorithms, often developed decades ago, may not be optimized for the intricate challenges of modern engineering. By harnessing the power of quantum mechanics, BQPhy® unlocks the full compute power of today’s High-Performance Computing (HPC) infrastructure, allowing you to achieve more with less.

10x faster results on current HPC

Accelerate simulations for faster decision-making
Achieve higher accuracy, do more with less
Hybrid quantum-classical algorithms for precision and efficiency at scale

Do More With Less

Get Started

Interface Features

Intuitive User Interface

BQPhy® offers a user-friendly interface that makes design simulation easy and accurate, without requiring any quantum knowledge from users

Easy Project Navigation

Navigate projects effortlessly with an intuitive navigation bar for a smooth workflow.

Admin Control & Project Tracking

Manage multiple projects efficiently with admin access and real-time progress tracking across accounts.

Seamless File Uploads

Easily upload and work with various file types, including Python, MATLAB, and more, for a streamlined experience.

BQPhy®’s Algorithm outperform legacy methods

BQPhy® QIEO

QIEO Algorithm v/s Genetic Algorithms

Reaches the optimal solution in one-fourth the number of iterations.

QIEO Algorithm v/s Genetic Algorithms

QIEO explores more solutions, requiring smaller populations for convergence.

Ackley: QIEO needs 100 iterations while GA needs 2,000 iterations (20× efficient).
Rosenbrock: QIEO needs 200 iterations while GA needs 1,000.
Rastrigin: QIEO needs 100 iterations while, GA needs 200.

QIEO Algorithm v/s Genetic Algorithms

4x faster convergence as compared to genetic alogorithms

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Frequently asked questions

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