Skip to content
Close
Talk to an expert
Japanese
Talk to an expert
Japanese

Accelerating nonlinear MEMS simulations with the harmonic balance method

See how harmonic balance is leveraged for solving nonlinear periodic problems in frequency domain for quicker, more precise results without transient analysis.

Watch recording
Download pdf summary

Quantum computing and CFD in 2026

This 20-minute conversation contains everything you need to know about the current state of quantum computing in physics simulation today.

Watch the full episode
Read the key takeaways

Introduction to the guest

Prof. Valtteri Lahtinen, Chief Scientist and co-founder of Quanscient, leads quantum algorithms research at Quanscient Quantum Labs—one of, if not the most accomplished teams in the field of quantum algorithms for CFD applications.

In this episode...

We talk about quantum computing in physics, specifically CFD simulation. We discuss what has been achieved so far, what is possible for industry customers right now, what’s next, and what the intermediate steps toward full-blown quantum advantage look like in practice.

Key takeaways

The classical "wall"

Some problems, like the full aerodynamics of a cruising plane, require more memory than classical supercomputers will ever have.
Quantum-native design

Rather than just making old math faster, Quanscient uses "Lattice" methods that are built to speak the natural language of quantum computers.
Exponential growth

Every time you add a "qubit" to a quantum computer, the size of the problem you can simulate potentially doubles.
A world first

Quanscient recently proved the tech works by running a 3D fluid simulation on a 54-qubit quantum chip—a major milestone for the industry.
Quantum + AI

We can use quantum computers to generate highly specialized data that "teaches" AI models how to handle complex turbulence.
Solving the non-ninear puzzle

Fluid dynamics is messy and non-linear; Valtteri’s team is using machine learning to help quantum chips navigate these complex equations.
The 3-year inflection point

We expect the first "real-world" advantages to appear in 2–3 years for specific, high-value engineering tasks.
Getting quantum ready

Major aerospace companies are starting now because waiting until the tech is "perfect" means it’s already too late to catch up.
Designing the future
The ultimate goal isn't just better software, it's allowing humanity to simulate things we previously thought were impossible to build.

 

Listen to the full episode on YouTube

0:00 Intro
1:05 Introduction to Quanscient Quantum Labs
2:46 Quantum computers and physics
6:13 Quantum vs classical computation
7:42 Real-world tests of algorithms
9:19 When will we see quantum advantage?
12:33 The benefits of quantum already today
14:42 Quantum and artificial intelligence
17:41 What's next from Quantum Labs?
19:28 The purpose of the work
20:49 Outro

design-space-bg

Learn more about the Quantum Labs

Read more and find all resources on the Quantum Labs webpage.
Open the webpage
Resources

Learn more about the topics

Press release

World-first 3D advection-diffusion simulatiom

Read the press release from our world-first quantum CFD simulation on IQM’s Crystal 54-qubit Emerald chip through the IQM Resonance platform.

Open the press release →

Blog

Efficient physics-informed learning with built-in uncertainty awareness

In this blog article, we introduce QO-SPINNs, a new architecture that combines quantum-inspired layers with separable networks to enable efficient, stable, and uncertainty-aware physics simulations.

Open the blog →

Press release

Quanscient, Oxford Ionics, and Airbus collaboration

Read the press release from our partnership with Oxford Ionics and Airbus on exploring the potential of quantum computing for CFD for aerospace.

Open the press release →