Engineering teams today are pushing against the limits of conventional optimization methods. As models grow in complexity and simulation fidelity increases, classical algorithms struggle to keep pace. Yet most engineers continue to rely on the same tools—MATLAB being one of the most trusted environments for modeling, simulation, and system development.

At BQP, we’ve always believed that engineers shouldn’t have to wait for quantum hardware to benefit from quantum-era performance. They should be able to access those capabilities inside the workflows they already use.

That belief shaped the development of BQPhy® for MATLAB, now available through MathWorks File Exchange.

Why We Built a MATLAB Integration

MATLAB is a foundation for engineering across aerospace, automotive, energy, and manufacturing. Teams use it every day for prototyping, system design, digital twins, and algorithm development.

But even the best workflows bottleneck when traditional optimization hits scaling limits.

BQPhy® solves this by bringing quantum-inspired optimization directly into the MATLAB environment.

• No new interface
• No major workflow change
• No learning curve

Just faster, more scalable optimization—inside a tool engineer already knows.

Quantum-Inspired Optimization, Delivered Through the Tools Engineers Trust

BQPhy® applies quantum-inspired algorithms to accelerate complex numerical tasks on classical HPC, CPU, and GPU systems. These algorithms mimic quantum mathematical structures, allowing teams to:

• Explore more of the design space
• Reduce iteration cycles
• Improve convergence for challenging optimization problems
• Run more advanced physical or multiphysics models
• Move from months of tuning to days or weeks

Integrating this capability inside MATLAB unlocks immediate value for simulation-heavy workflows.

Whether optimizing an aerospace subsystem, calibrating an EV battery model, or running large-scale stochastic simulations—BQPhy® enhances performance without replacing existing infrastructure.

A Native MATLAB Experience

Our goal was simple:
Make BQPhy® feel like a natural extension of MATLAB.

The toolbox allows engineers to:

• Call BQPhy® functions directly from MATLAB scripts
• Integrate QIO into existing models without refactoring
• Iterate quickly using familiar commands and toolchains
• Combine domain expertise with high-performance optimization

This reduces the time between experimentation, validation, and deployment—something especially critical in industries where simulation drives design decisions.

Lowering Barriers for Teams Exploring Quantum-Ready Workflows

Quantum computing will eventually become part of the engineering stack, but organizations shouldn't wait years to prepare. Quantum-inspired methods serve as a practical stepping stone.

By offering BQPhy® through MathWorks File Exchange, we enable engineers, researchers, and product teams to test QIO directly within MATLAB—with minimal setup and zero new infrastructure.

Building the Bridge—Not Replacing the Toolbox

We don’t expect engineers to abandon platforms they’ve used for decades. Instead, our philosophy is to enhance them. BQPhy® functions as an accelerative engine beneath the surface of familiar tools like MATLAB, making advanced optimization more accessible and scalable.

Quantum-inspired acceleration shouldn’t require changing your workflow. It should simply make your workflow better.