CCQ’s mission is to develop the concepts, theories, algorithms and codes needed to solve the quantum many-body problem and to use the solutions to predict the behavior of materials and molecules of scientific and technological interest.
A new day is dawning for our ability to understand and control the behavior of materials and molecules, thanks to the combination of previously unimaginable theoretical concepts, improved computational capabilities and revolutionary developments in experimentation. Researchers at CCQ are developing the ideas, algorithms and codes that will take our understanding of the quantum mechanics of electrons in molecules and solids to a new level. CCQ is also an international focal point for computational materials science, hosting a lively array of meetings, workshops, conferences and visitor programs.
Research




Event Videos
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Pan Zhang: Solving Statistical Mechanics: From Mean Field to Neural Networks, then to Tensor Networks
June 30, 2020
Machine Learning for Quantum Simulation: Virtual Conference

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Markus Heyl: Quantum many-body dynamics in two dimensions with artificial neural networks
June 30, 2020
Machine Learning for Quantum Simulation: Virtual Conference

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Johan Mentink: Simulating ultrafast dynamics in two-dimensional Heisenberg antiferromagnets with artificial neural networks
June 30, 2020
Machine Learning for Quantum Simulation: Virtual Conference

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Fabien Alet: Combining RBM and Reptation QMC: application to a 2d bosonic model
June 30, 2020
Machine Learning for Quantum Simulation: Virtual Conference

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