Quantum Computing and CFD in 2026: Everything You Need to Know (with Prof. Valtteri Lahtinen)

Описание: 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

Engineers have a secret: they still spend billions on physical prototypes because simulations often "hit a wall."

No matter how many classical servers you link together, some problems are just too complex to solve with traditional math.

In this episode, Prof. Valtteri Lahtinen, lead of Quanscient Quantum Labs, explains how we are moving past those limits.

We discuss the transition from classical solvers to "quantum-native" methods like the Quantum Lattice Boltzmann Method (QLBM), an approach that actually mimics the way nature works at a fundamental level.

We also look at the surprising synergy between Quantum and AI.

Valtteri explains how quantum computers can "teach" AI models about complex physics that classical computers can't even see.

Whether you're curious about the 2-year roadmap for "early advantage" or the 5-year goal of full-scale quantum engineering, this episode is for you.

Quanscient Quantum Labs: https://quanscient.com/quantum
Quanscient: https://quanscient.com/
State of Simulation podcast: https://quanscient.com/podcast