Name: Combining Quantum and AI for Accelerating CFD Simulations - Part 1
Start: 2025-11-18T12:30:00+01:00
End: 2025-11-18T14:00:00+01:00

**Physics-based AI models such as neural networks, neural operators, and operator transformers - Aditya Seshaditya**

We will leverage quantum machine learning techniques to enhance fluid dynamics simulations using physics-informed AI models and their quantum counterparts (Quantum PINNs). The workshop will explore various implementations, including attention-enhanced architectures. The goal is to demonstrate the potential of quantum computing in solving high-dimensional partial differential equations (PDEs) associated with fluid dynamics, improving both computational efficiency and accuracy.

Open-source frameworks: PennyLane (QML), NVIDIA PhysicsNemo (PINNs)

In this workshop, we will cover the following steps:

* Physics-inspired models
* Training and Loss-Physics
* Hybrid quantum-classical approaches

By the end of this workshop, you’ll understand the details of AI models used for simulations such as CFD (Computational Fluid Dynamics) and the relevance of physics-based approaches.

**About the speaker:**

**Aditya Seshaditya** is a Data Scientist with background in Quantum Computing, Digital Twins and AI.

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Combining Quantum and AI for Accelerating CFD Simulations - Part 1

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Combining Quantum and AI for Accelerating CFD Simulations - Part 1

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