QCFD
@QCFDProject
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Joined February 2024
A heartfelt thank you to our #QCFD Principal Investigators & Project Manager—.Barbara Kraus, Dieter Jaksch, Dimitrios Angelakis, Eugene De Villiers, Martin Kiffner, Felix Motzoi, Thomas Rung & Belda Atilla—for your insights & dedication at our 3rd Coordination Meeting! 🙏
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Thanks to Dr. Nikita Gourianov (@UniofOxford) for his excellent invited talk on “Quantum-Inspired Advantage for Solving PDEs” at our 3rd #QCFD Coordination Meeting 💡🧮. Your insights added a valuable perspective to the quantum–fluid dynamics dialogue!. #QuantumComputing
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The presentations covered a wide range of cutting-edge topics, including quantum computing, CFD algorithms, tensor network simulations, code optimization, and open-source integration. The success of our project is made possible by your dedication and scientific contributions.
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🔹 Martin Kiffner (PLANQC) – Quantum and quantum-inspired CFD .🔹 Muhammad Umer (TUC) – WP5 .🔹 Jose Diogo Da Costa Jesus & Setty Abhishek (FZJ) – WP6 & WP7 .🔹 Tristan Kraft (TUM) – WP8 .🔹 Leonardo Scandurra (ENG) – WP9.
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Grateful to Prof. Andrew Daley (@UniofOxford), QCFD Advisory Board member, for joining our 3rd Coordination Meeting and presenting on “Tensor Networks for Nonlinear Dynamics” 🧠✨. Your insights & feedback are invaluable to the #QCFD Project!. #QuantumPhysics #QuantumComputing
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Many thanks to Christian Trefzger, PhD (@EU_Commission), for joining our 3rd #QCFD Coordination Meeting and sharing insights on the latest developments in #EUQuantumPolicy 🇪🇺🔬. Your support is key to our progress in Europe’s quantum ecosystem!. #QuantumTechnologies
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🚨 New on arXiv: "Disentangling strategies & entanglement transitions in unitary circuit games with matchgates". Highlights:.• Optimal disentangling via RSF.• Critical point at p=1/2.• Bell pair model for Rényi-0 entropy.📄#QuantumComputing #QCFD.
arxiv.org
In unitary circuit games, two competing parties, an "entangler" and a "disentangler", can induce an entanglement phase transition in a quantum many-body system. The transition occurs at a certain...
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🚨 New paper!. Quantum-Inspired Tensor-Network CFD Solver.🌪️ Incompressible flow on curvilinear grids.⚡ 20× flow compression.🧠 <0.3% error.💻 Quantum-ready.A leap for quantum-classical fluid sims!.🔗 #CFD #QuantumComputing #TensorNetworks
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🎉 Honored that my Cassyni seminar was selected as an Editor’s Pick for May 2025!. Thanks to the editors of the Fluid Dynamics Collection for the recognition. Featured all June on the platform. #FluidDynamics #Cassyni #AcademicSeminar #Physics
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🚨 New paper out in New J. Phys.!.We study dynamical quantum phase transitions on random networks (TFIM on Erdős–Rényi graphs). Even when p < 1, critical points stay the same—but global correlations leave a mark. 🧠📉 Quantum chaos meets complexity. 🔗
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This development holds promise for improving the accuracy of quantum simulations on near-term quantum hardware. 📖 Read the full paper here:
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Tom O'Leary, Lewis W. Anderson, Dieter Jaksch, and Martin Kiffner’s paper is now in #Quantum Journal. A new paper published in Quantum introduces the Partitioned Quantum Subspace Expansion algorithm, enhancing the stability of quantum subspace methods against statistical noise.
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AIAA Journal Seminars.Variational quantum algorithms for computational fluid dynamics.Tuesday, 20 May 2025 ⏰ 10:00 AM (EDT).by Dieter Jaksch. Please find the details here: #quantum #computationalfluiddynamics #CDF #QCFD #quantumalgorith
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QCFD Deliverable D7.1.Core Flagship QCFD Set published. Please find it here:
qcfd-h2020.eu
Deliverables Work Package 1 1.1 Core Benchmark CFD Set download Work Package 4 D4.1 Core Tensor Network QCFD Set download Work Package 6 D6.1 Core Gate Level QCFD Set DOWNLOAD Work Package 7 D7.1.C...
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QCFD Deliverable 1.1 Core Benchmark CFD Set revised. Please find the latest update here:.
qcfd-h2020.eu
Deliverables Work Package 1 1.1 Core Benchmark CFD Set download Work Package 4 D4.1 Core Tensor Network QCFD Set download Work Package 6 D6.1 Core Gate Level QCFD Set DOWNLOAD Work Package 7 D7.1.C...
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'Tensor networks enable the calculation of turbulence probability distributions' published on Science Advances!!. #QCFD #TensorNetworks #TurbulenceModeling #ScientificComputing #ComputationalPhysics #FluidDynamics #Innovation #Research.
science.org
The probability distributions of turbulent flows can, in fact, be simulated using quantum-inspired tensor networks.
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🚀 SGEO redefines optimization in variational quantum algorithms, enabling faster, more accurate results in tasks like simulating the 1D Burgers' equation and ground state approximation. 🌟📜
qcfd-h2020.eu
Muhammad Umer, Eleftherios Mastorakis, Dimitris G. Angelakis Classical optimization is a cornerstone of the success of variational quantum algorithms, which often require determining the derivatives...
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Our young researchers won the international award!!. Nis-Luca van Hülst, Dr. Tomohiro Hashizume, Theofanis Panagos, Greta Sophie Reese and Dr. Shahram Panahiyan from the Department of Physics at the University of Hamburg won the "Airbus-BMW Group Quantum Computing Challenge"
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