Airbus A380 CFD simulation showing pressure distribution and streamlines

Image: DLR, CC-BY 3.0

Quantum CFD Platform

QubitSolve is building a quantum computing platform for computational fluid dynamics, aimed at simulations that are too large, turbulent, or costly for classical computing alone.

QubitFlux

  • Unified Quantum–Classical Workflow
  • Quantum Performance Diagnostics
  • Reproducible Benchmark Studies
  • OpenFOAM & HPC Compatible

2029

Target practical crossover

CFD

Focused simulation domain

August 2026

QubitFlux™ alpha release

Challenge

The most important flows are often the hardest to simulate.

Why fluid dynamics matters

The flow of air and water shapes modern engineering.

Lift, drag, propulsion, cooling, and combustion all depend on fluid motion. Engineers use CFD to translate the Navier-Stokes equations into simulations that make safer, faster, and more efficient systems possible.

Why classical methods strain

Real turbulence quickly exceeds practical compute budgets.

High-fidelity CFD can demand massive memory and runtime, especially when chaotic flow features must be resolved at industrial scale. Even leading supercomputers can struggle to make these simulations routine.

Solution

Beyond the Limits of Classical CFD

The exponential information compression and quantum parallelism enabled by quantum computers create new possibilities for CFD simulations—enabling unprecedented speed, scalability, and accuracy for critical industrial and defense applications. QubitSolve is developing QubitFlux™, a quantum CFD platform that connects these emerging quantum computing technologies with established engineering simulation workflows. By combining reproducible CFD benchmarks, integrated verification, OpenFOAM interoperability, HPC integration, and quantum performance diagnostics, QubitFlux™ enables researchers and engineers to explore, validate, and advance the next generation of computational fluid dynamics.

01

Integrate with CFD workflows

Connect quantum CFD methods to familiar simulation environments, including OpenFOAM-oriented workflows.

02

Benchmark canonical flows

Use transparent, reproducible cases such as 2D canonical flows, Taylor-Green vortex, cylinder flow, and future 3D demonstrations.

03

Co-design with early users

Work with industry and government laboratory partners to align the framework with real simulation workflows and high-value use cases.

QubitFlux™ logo

Target Problems

Aerodynamics and hydrodynamics

Advanced propulsion

Hypersonic flight

Next-generation energy systems

Results

Integrated Quantum CFD Platform Operational

Unified Quantum–Classical Workflow

Integrates CFD case setup, classical and quantum solvers, multiple quantum backends, and built-in verification into a single workflow for developing, testing, and validating quantum CFD methods.

Reproducible Benchmark Studies

Validated quantum lattice Boltzmann workflows demonstrated on canonical CFD benchmark problems, with reproducible results and direct comparisons to analytical solutions and classical CFD baselines.

OpenFOAM & HPC Compatible

Designed to work with familiar engineering simulation workflows.

Quantum Performance Diagnostics

Detailed visibility into qubit requirements, circuit resources, and execution costs.

QubitSolve scaling chart comparing classical CFD and quantum CFD simulation time
Conceptual scaling comparison showing the crossover point where quantum CFD could become competitive with classical methods. Current implementations are still dominated by overheads, but continued advances in algorithms and hardware are expected to move that crossover toward practically relevant problem sizes.

Ecosystem

Our Partners

Partners

Our Funders

Leadership

CFD depth meets quantum computing ambition.

Madhava Syamlal, Ph.D. portrait

Madhava Syamlal, Ph.D.

Founder and CEO

Former DOE national lab computational scientist with CFD expertise.

Sankaran Sundaresan, Ph.D. portrait

Sankaran Sundaresan, Ph.D.

Principal Scientist

Norman John Sollenberger Professor in Engineering, Emeritus at Princeton University.

Jeremy Levy, Ph.D. portrait

Jeremy Levy, Ph.D.

Member, Board of Advisors

Distinguished Professor of Physics, University of Pittsburgh.

Allan Mink, Ph.D. portrait

Allan Mink, Ph.D.

Member, Board of Advisors

Former combat pilot and technology leader in the US Air Force; co-leads an angel investor group.

Peyman Givi, Ph.D. portrait

Peyman Givi, Ph.D.

Member, Board of Advisors

Distinguished Professor and the James T. MacLeod Chair of Engineering, University of Pittsburgh.

S. Subbiah, Ph.D. portrait

S. Subbiah, Ph.D.

Member, Board of Advisors

Former CEO of Zemax Inc.

Mission

Build QubitFlux™ and co-design it with industry and government partners to make quantum computing a practical tool for the CFD problems classical methods can't solve.

Vision

A future where quantum computing is a standard part of the CFD toolkit for aerospace, defense, and energy — as routine as running a classical solver today.

Customer Impact First

Tackle customers' toughest problems with urgency, clarity, and precision.

Excellence in the Details

Ground every product in scientific rigor, data-driven decisions, and promises kept.

Iterate Relentlessly

Start small, act quickly, seek feedback early, and improve every release.

Efficiency with Purpose

Simplify to amplify, own the work, and focus resources on the most useful solution.

One Team, Many Voices

Recruit broadly and build an environment where different backgrounds can do their best work.

Careers

Build the next generation of simulation software.

QubitSolve is not listing open roles right now. Please check back — the company is interested in people who want to move quantum CFD from promising prototype to practical engineering system.

Co-Design Quantum CFD Applications with Us

QubitSolve is launching a co-design partnership program in Q1 2027 to develop launch-ready quantum CFD applications with industry and government-lab partners. The program pairs your domain expertise with QubitFlux™ to identify high-value engineering questions, define observables-first benchmarks, and target the flows that matter most to you.

Start a conversation with us now to help shape the first generation of quantum-ready CFD workflows.