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Physics Guided Generative Optimization for Trotter Suzuki Decomposition

Announce Type: replace-cross Abstract: Trotter Suzuki product formulas are the standard route to Hamiltonian evolution on noisy intermediate-scale quantum (\NISQ{}) hardware, but their accuracy depends on three coupled choices: term grouping, product-formula order, and time-step allocation. Grouping and order are discrete, which makes direct gradient optimization infeasible and forces existing compilers to rely on static heuristics. We describe P-GONE, a method that combines a conditional...

arXiv CS 2d ago

Will Gen Z be the generation to revive moviegoing?

Hollywood can breathe a sigh of relief: Generation Z is not only going to the movies, it's driving box office growth. During the pandemic, when theaters shut down and streaming became a dominant force in the media landscape, fears rose that this young cohort would shun the big screen as they matured into more engaged consumers. However, this generation, which ranges from around 14 to 29 years old, is one of the most active moviegoing demographics and attends more films per year than some...

CNBC 11d ago

Christen Goff hit the runway for Swim Week, Alysha Newman in Miami for the festivities & a dinger to the dome

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Fox News 10d ago

PI-JEPA: Label-Free Surrogate Pretraining for Coupled Multiphysics Simulation via Operator-Split Latent Prediction

Announce Type: replace Abstract: Reservoir simulation workflows face a fundamental data asymmetry: input parameter fields (geostatistical permeability realizations, porosity distributions) are free to generate in arbitrary quantities, yet existing neural operator surrogates require large corpora of expensive labeled simulation trajectories and cannot exploit this unlabeled structure. We introduce \textbf{PI-JEPA} (Physics-Informed Joint Embedding Predictive Architecture), a surrogate...

arXiv CS 5d ago

PI-JEPA: Label-Free Surrogate Pretraining for Coupled Multiphysics Simulation via Operator-Split Latent Prediction

Announce Type: replace-cross Abstract: Reservoir simulation workflows face a fundamental data asymmetry: input parameter fields (geostatistical permeability realizations, porosity distributions) are free to generate in arbitrary quantities, yet existing neural operator surrogates require large corpora of expensive labeled simulation trajectories and cannot exploit this unlabeled structure. We introduce \textbf{PI-JEPA} (Physics-Informed Joint Embedding Predictive Architecture), a surrogate...

arXiv Physics 5d ago

China’s Michelin-starred Wild Yeast comes to Singapore for for a two-night collaboration with Cassia at Capella

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Channel News Asia 6d ago

The world’s best cities for food have been revealed by Time Out – and four are in Europe

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Where to buy rice dumplings in Singapore for Dragon Boat Festival 2026

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Channel News Asia 6d ago

Coordinate-wise splitting algorithms for ODE simulation via Koopman-Lie product formulas

arXiv:2506.17524v3 Announce Type: replace Abstract: We present a computational framework for simulating finite-dimensional ordinary differential equations by combining classical Koopman-Lie product formulas with coordinate-wise frozen subflows. The setting is model-known, since the vector field is assumed to be available, and no data-driven approximation of the Koopman operator is attempted. Under standard assumptions, the Koopman-Lie generator associated with the flow admits a coordinate...

arXiv CS 7d ago