Altair and Technical University of Munich Discover Breakthrough in Quantum Computing for Computational Fluid Dynamics
Altair (Nasdaq: ALTR) and researchers from the Technical University of Munich have made a breakthrough in quantum computing for computational fluid dynamics (CFD). The research, published in Computer Physics Communications, presents runnable code for quantum computers that overcomes key challenges in implementing the Lattice-Boltzmann Method. The paper introduces a generic quantum CFD algorithm for three-dimensional CFD, potentially bringing fully nonlinear 3D CFD to the quantum world.
This breakthrough demonstrates the scalability and model size possibilities of quantum computing compared to classical computing. It showcases quantum computing's practical application in tackling real-world problems, particularly in fields like CFD. The research was conducted under an Altair grant and co-authored by Altair executives and Technical University of Munich researchers.
Altair (Nasdaq: ALTR) e i ricercatori della Technische Universität München hanno fatto un traguardo nella computazione quantistica per la dinamica dei fluidi computazionale (CFD). La ricerca, pubblicata su Computer Physics Communications, presenta codice eseguibile per computer quantistici che supera le sfide principali nell'implementazione del Metodo Lattice-Boltzmann. L'articolo introduce un algoritmo quantistico CFD generico per CFD tridimensionale, che potrebbe portare la CFD 3D completamente non lineare nel mondo quantistico.
Questo traguardo dimostra le possibilità di scalabilità e dimensione del modello della computazione quantistica rispetto a quella classica. Mette in evidenza l'applicazione pratica della computazione quantistica nella risoluzione di problemi del mondo reale, particolarmente in campi come la CFD. La ricerca è stata condotta sotto un finanziamento di Altair ed è coautore da parte di dirigenti di Altair e ricercatori della Technische Universität München.
Altair (Nasdaq: ALTR) y los investigadores de la Universidad Técnica de Múnich han logrado un avance en la computación cuántica para la dinámica de fluidos computacional (CFD). La investigación, publicada en Computer Physics Communications, presenta código ejecutable para computadoras cuánticas que supera los desafíos clave en la implementación del Método Lattice-Boltzmann. El artículo introduce un algoritmo cuántico CFD genérico para CFD tridimensional, que potencialmente podría llevar la CFD 3D completamente no lineal al mundo cuántico.
Este avance demuestra las posibilidades de escalabilidad y tamaño del modelo de la computación cuántica en comparación con la computación clásica. Muestra la aplicación práctica de la computación cuántica en la resolución de problemas del mundo real, particularmente en campos como la CFD. La investigación se llevó a cabo bajo una subvención de Altair y fue coautora por ejecutivos de Altair e investigadores de la Universidad Técnica de Múnich.
알테어(Nasdaq: ALTR)와 뮌헨 공과대학교(Technische Universität München) 연구원들은 컴퓨터 유체 역학(CFD)을 위한 양자 컴퓨팅의 획기적인 진전을 이루었습니다. 라티스-볼츠만 방법을 구현하는 데 있어 주요 과제를 극복한 양자 컴퓨터용 실행 가능한 코드를 제시하는 연구가 Computer Physics Communications에 발표되었습니다. 이 논문은 3차원 CFD를 위한 일반 양자 CFD 알고리즘을 소개하며, 완전 비선형 3D CFD가 양자 세계로 들어오는 가능성을 제시합니다.
이 획기적인 성과는 고전 컴퓨팅에 비해 양자 컴퓨팅의 확장성과 모델 크기 가능성을 보여줍니다. 특히 CFD와 같은 분야에서 실제 문제를 해결하는 데 있어 양자 컴퓨팅의 실용적인 응용을 보여주는 것입니다. 이 연구는 알테어의 지원 하에 수행되었으며, 알테어 임원들과 뮌헨 공과대학교 연구자들이 공동 저자로 참여했습니다.
Altair (Nasdaq: ALTR) et des chercheurs de l'Université Technique de Munich ont réalisé une percée dans l'informatique quantique pour la dynamique des fluides computationnelle (CFD). La recherche, publiée dans Computer Physics Communications, présente un code exécutable pour ordinateurs quantiques qui surmonte les défis clés de la mise en œuvre de la Méthode Lattice-Boltzmann. L'article introduit un algorithme CFD quantique générique pour CFD tridimensionnelle, ce qui pourrait potentiellement amener la CFD 3D entièrement non linéaire dans le monde quantique.
Cette percée démontre les possibilités d'évolutivité et de taille de modèle de l'informatique quantique par rapport à l'informatique classique. Elle met en avant l'application pratique de l'informatique quantique pour aborder des problèmes concrets, notamment dans des domaines tels que la CFD. La recherche a été réalisée sous une subvention d'Altair et coécrite par des dirigeants d'Altair et des chercheurs de l'Université Technique de Munich.
Altair (Nasdaq: ALTR) und Forscher der Technischen Universität München haben einen Durchbruch in der Quantencomputing für computergestützte Strömungsmechanik (CFD) erzielt. Die Forschung, veröffentlicht in Computer Physics Communications, präsentiert ausführbaren Code für Quantencomputer, der zentrale Herausforderungen bei der Implementierung der Lattice-Boltzmann-Methode überwindet. Das Papier führt einen generischen Quanten-CFD-Algorithmus für dreidimensionale CFD ein, der möglicherweise die vollständig nichtlineare 3D-CFD in die Quantenwelt bringen könnte.
Dieser Durchbruch demonstriert die Skalierbarkeit und Modellgrößenmöglichkeiten des Quantencomputings im Vergleich zum klassischen Computing. Es zeigt die praktische Anwendung des Quantencomputings bei der Lösung realer Probleme, insbesondere in Bereichen wie der CFD. Die Forschung wurde im Rahmen eines Altair-Stipendiums durchgeführt und von Altair-Führungskräften sowie Forschern der Technischen Universität München koautoren.
- Breakthrough in quantum computing for CFD, potentially revolutionizing simulation-based design
- Development of a generic quantum CFD algorithm for three-dimensional CFD
- Demonstration of quantum computing's superior processing power for exponentially faster simulations
- Potential for more complex and accurate simulations in industries like healthcare, finance, and life sciences
- Investment in quantum computing technology, including stake in Riverlane for quantum error correction
- None.
Insights
This breakthrough in quantum computing for CFD represents a significant leap forward in applied quantum algorithms. The development of a generic quantum CFD algorithm for three-dimensional simulations could revolutionize complex fluid dynamics modeling. By making classical CFD compatible with quantum mechanics, we're opening doors to exponentially faster and potentially more accurate simulations.
The unitary transformation for classical CFD and the machine learning approach for non-linear aspects are particularly innovative. These advancements address key challenges in quantum algorithm design, bridging the gap between classical and quantum computational methods. The potential for quantum computing to handle larger model sizes and improve scalability in CFD is a game-changer for simulation-based design across industries.
While this research is groundbreaking, it's important to note that practical, large-scale quantum computing is still in its infancy. The next steps will involve scaling these algorithms and addressing quantum error correction to make them viable for real-world applications. Altair's investment in Riverlane for QEC development is a strategic move in this direction.
This breakthrough, while scientifically significant, has immediate financial impact for Altair (ALTR). The company's market cap of
Investors should view this as a strategic R&D investment rather than a near-term revenue driver. The potential for quantum CFD to revolutionize industries like healthcare, finance and life sciences could open new markets for Altair in the future. The collaboration with academic institutions and investment in quantum startups like Riverlane demonstrates a forward-thinking approach to technology development.
While exciting, the financial benefits of this research are likely years away from materialization. Shareholders should monitor Altair's ability to translate this scientific breakthrough into commercial products and services that can drive revenue growth and maintain its competitive edge in the computational intelligence market.
Research details solutions for several key challenges of quantum computing implementation
The paper, titled "Quantum Algorithm for the Lattice-Boltzmann Method Advection-Diffusion Equation," was developed under a research grant from Altair and driven by researchers from the Technical University of
"Altair is committed to pushing the boundaries of simulation technology," said Christian Janssen, vice president of CFD solutions, Altair. "Our GPU-powered CFD tools have set the standard for efficiency and accuracy. Now, we're exploring the revolutionary potential of quantum computing to tackle even more complex simulations, opening up new possibilities for innovation in product design and engineering."
The research presents, for the first time, a generic quantum CFD algorithm for three-dimensional CFD. The algorithm has the potential to bring fully nonlinear three-dimensional CFD to the quantum world. This is a game changer for next-generation CFD and simulation-based design as the findings demonstrate the tremendous possibilities in terms of model size and scalability that quantum computing offers compared to classical computing. It also reinforces that quantum computing isn't just theoretical but will become a practical tool to tackle real-world problems. It opens a new realm of possibilities in fields traditionally governed by classical physics, like CFD, by enabling the practical application of quantum computing.
The project's objective was to develop an algorithm for quantum computational fluid dynamics (CFD) using the Lattice Boltzmann Method (LBM). Making classical CFD compatible with quantum mechanics allows users to leverage quantum computing's superior processing power for simulations that are exponentially faster and potentially more accurate than classical computations.
Because of its potential to exponentially increase computing speed and enable more complex simulations, quantum computing is expected to have a substantial impact on product development within many industries, namely healthcare, finance, and the natural/life sciences.
"This is an important discovery for both our team and the Altair researchers, one that has the potential to open a new dimension of quantum computing," said Nikolaus Adams, professor and chair of aerodynamics and fluid mechanics, Technical University of
As discussed in a similar paper by the same group of researchers, today's quantum computing algorithms are developed at the deep machine level by designing quantum circuits. Classical CFD is non-unitary and non-linear, while quantum formulations are unitary and linear. The research found a unitary transformation for classical CFD in addition to developing a machine learning approach for the non-linear aspect.
The paper's authors include the Technical University of
This research is the latest in a string of developments catalyzed by Altair's investment in quantum computing. Notably, Altair has also invested in Riverlane, a company specializing in making quantum computing more robust and more practical by solving quantum error correction (QEC) challenges. Headquartered in
Click here to read the full paper: "Quantum Algorithm for the Lattice-Boltzmann Method Advection-Diffusion Equation." To learn more about Altair's CFD solutions, visit https://altair.com/altair-cfd.
About Altair
Altair is a global leader in computational intelligence that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair enables organizations across all industries to compete more effectively and drive smarter decisions in an increasingly connected world – all while creating a greener, more sustainable future. To learn more, please visit www.altair.com.
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