Join us in leading the way in quantum-powered multiphysics simulations

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Partner with us to be at the forefront of the quantum computing revolution in multiphysics simulations

Quantum computing offers the potential for unparalleled accuracy and speed for multiphysics simulations.

Our team is the world-leading research team in the quantum lattice Boltzmann method (QLBM), specializing in computational fluid dynamics (CFD).

We offer custom algorithm development and licensing options for our pilot customers.

Companies we work with

Companies we work with

Why quantum?

The power of quantum computers lies in their ability to perform complex calculations at a speed and accuracy that is unattainable by classical computers. 

This makes them a game-changer for multiphysics simulations, particularly in fields such as computational fluid dynamics (CFD). 

Our research and development on quantum-native algorithms show tremendous potential for simulating systems larger and more complex than ever imaginable with great precision.

Needless to say, the potential for quantum acceleration in multiphysics simulations is enormous, and we're excited to be at the forefront of this revolution.

What we offer?

While quantum hardware is not quite yet at the level of useful quantum advantage, it is advancing at a rapid pace, and commercial applications are just around the corner. 

By working with us as a pilot customer, you have the opportunity to be among the first to gain from the benefits brought by quantum computing in multiphysics simulations.

Our team of experts will work with you to develop solutions for your industry and guide you through the process of eventually incorporating quantum computing into your workflow

With our support, you'll have the opportunity to test the potential of quantum computing and witness firsthand the benefits it can bring.

Join us now to stay ahead of the curve and get the competitive edge in your field as quantum computing becomes more widely adopted.

What we have done?

We have not only made theoretical advancements in the use of quantum computing for simulations but have also successfully demonstrated the potential of these methods on real hardware.

In the fall of 2022, we achieved a significant milestone in Quantum Native™ multiphysics simulations by running a 1D advection-diffusion simulation using our Quantum Lattice-Boltzmann Method (QLBM) algorithm on a real quantum computer with accurate results. 

This marked the beginning of a new era in multiphysics simulations, as it demonstrated that today's NISQ devices can natively run macro-scale physics simulations using a quantum-native approach. 

This breakthrough showcases the potential for quantum computers to revolutionize the field of multiphysics simulations with increased accuracy and speed.

Quantum algorithms in action

Our quantum demo showcases our Quantum algorithms through interactive demonstrations.

Our quantum roadmap

2026
Commercial product launch
2025
Simulations on a scale infeasible to do on classical hardware
2023 - 2024
Extending to 2D and 3D simulations on a real quantum computer
Awarded the first prize of the Fujitsu quantum simulator challenge
Finalist in the Airbus/BMW quantum computing challenge
Fall 2022
Concrete evidence for quantum-native macro-scale physics simulations on a NISQ device 
Spring 2022
Prototype QLBM solvers running on a quantum simulator 

 

Aerospace and automotive

Aerodynamic optimization

More accuracy, more scale -> optimize designs, reduce drag, improve fuel efficiency, and increase speeds.

Thermal management

Managing the heat generated in high-speed aircraft and spacecraft, preventing overheating and enhancing structural durability.

Noise reduction

Coupling CFD with acoustics enables the prediction and minimization of noise generated by aircraft engines, airframe, and airflow interactions, improving compliance with noise regulations.

Hypersonic and reentry analysis

Large-scale CFD can simulate extreme conditions encountered by hypersonic vehicles or spacecraft during reentry, where both high temperatures and high-speed flows are involved.

Thermal management of electric vehicles (EVs)

With large batteries and cooling requirements, combining CFD with thermal simulations helps design efficient cooling systems to avoid overheating and extend battery life.

Passenger comfort (noise & vibration)

CFD simulations integrated with acoustics can help reduce cabin noise by analyzing airflow around and through the vehicle, enhancing passenger comfort.

 

Energy and renewal resources

Wind farm optimization

Large-scale CFD simulations model wind flow across complex terrains and turbine placements to maximize energy output and reduce wake effects that could impact neighboring turbines.

 

Oil and gas

Reservoir simulation and enhanced oil recovery

CFD aids in understanding fluid flows within reservoirs, enhancing extraction processes, and optimizing resource recovery.

Subsea pipeline flow assurance

Large-scale multiphase CFD simulations model oil, gas, and water flows, predicting hydrate formation and helping to design solutions for uninterrupted flow in extreme subsea environments.

 

Nuclear engineering

Coolant flow in nuclear reactors

CFD-thermal simulations are crucial for optimizing coolant flow in nuclear reactors, helping to prevent overheating and ensuring safe, efficient reactor operation.

Radiation heat transfer

Multiphysics simulations enable engineers to understand and control heat transfer via radiation, which is essential in high-temperature nuclear environments.

 

Marine and offshore engineering

Ship hull and propeller design

High-fidelity CFD simulations are used to design hulls and propellers that minimize drag and improve fuel efficiency.

Acoustics for submarine stealth

CFD-acoustic simulations help minimize noise and vibration in submarines, making them harder to detect.

 

Civil engineering and urban planning

Wind flow and heat dispersion in urban environments

Large-scale CFD simulations provide insights into wind patterns and temperature distributions in urban areas, crucial for city planning and improving building energy efficiency.

Fire spread in enclosed spaces

CFD simulations combined with thermal analysis help design safer building layouts and ventilation systems by modeling fire and smoke propagation in large enclosed spaces like tunnels, stadiums, and skyscrapers.

Air quality and pollution dispersion

CFD simulations model the dispersion of pollutants in air, predicting the impact of industrial emissions, vehicle exhaust, and wildfire smoke on air quality in urban and rural environments.

Water flow and contaminant spread

In riverine and coastal areas, CFD is used to predict water flow and contaminant dispersion, which is critical for environmental conservation and managing water resources.

Environmental noise pollution prediction and mitigation

Simulating and controlling noise pollution from urban environments, airports, highways, and industrial facilities.

Seismic acoustics and earthquake simulation

Simulating the propagation of seismic waves through the Earth’s crust to better understand earthquake behavior and ground shaking.

 

Electronics and semiconductor

Cooling in data centers

CFD and thermal simulations are used to design cooling solutions for data centers, optimizing airflow and temperature control to prevent overheating and reduce energy consumption.

Thermal management in high-performance electronics

CFD-thermal simulations help in the design of cooling solutions for microprocessors and power electronics, essential for avoiding overheating in compact and high-performance electronic devices.