Artificial intelligence (AI) is continuing to have a disruptive impact on ever more parts of humanity. But what does it mean ...
Join Zoom Meeting https://cwi-nl-zoom.zoom.us/j/88526222616?pwd=cLUcbPsya5L5FOCZTT55p6I2zj6eg1.1 Meeting ID: 885 2622 2616 Passcode: 546287 Title: Tensor network ...
That comparison — sub-statistical-noise-floor, regulator-defensible, exact — no off-the-shelf reliability tool can produce, because their internal data models are structurally Monte-Carlo. This repo ...
Quantum phase estimation (QPE) is a foundational algorithm for quantum chemistry, cryptanalysis, and solving linear equations, due to the potential of exponential acceleration for classical algorithms ...
Achieving predictive accuracy with neural networks requires access to large, standardized datasets. To this end, we analyze over 33,000 oxide-metallic entries from the SuperCon database, which ...
We use voxel deep neural networks to predict energy densities and functional derivatives of electron kinetic energies for the Thomas–Fermi model and Kohn–Sham density functional theory calculations.
Large systems of interacting quantum particles present a notorious computational challenge, since they require to solve an eigenvalue problem in an exponentially large dimensional space. The problem ...
Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering. An important ...
Many of our academics speak to the media as experts in their field of research. If you are a journalist, please contact the University’s Media and PR Team: ...
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