A guarantee for estimating distances across networks, set in 1996, now reaches much closer pairs of points than anyone had ...

Energy errors plummeted by orders of magnitude during simulations of water and cyclobutadiene using a new error mitigation ...

A harmonic increment provides a new way to improve smooth approximations of the minimum function. In a recent paper, ...

Researchers have developed statROM, a reduced order statistical finite element method that explicitly estimates and corrects ...

Researchers have introduced new dimension and model reduction methods that extend optimal Bayesian inference to problems with ...

Mila and Natural Resources Canada have released an open-source emulator that reproduces months of BurnP3+ physics simulation ...

The Kohn, Sham potential now demonstrably approaches its Thomas, Fermi counterpart at an upper bound convergence rate of N⁻², ...

If you proceed only with "1/√LC because it's resonance," you may end up misinterpreting the quantities you are looking for. Even if the power supply is 1V, the terminal voltage of the coil can reach ...

Alexander Miller, an 18-year-old student from Irvine, California, has won a $25,000 2026 Davidson Fellowship for developing RIDA, a quantum error mitigation method. His research consistently achieved ...

12 original exam-style IB Mathematics Applications & Interpretation SL questions on approximation & error, worth 19 marks in total. Questions run from straightforward to challenging, each labelled ...

The first time you encounter a linear approximation that feels "off," it’s not just intuition—it’s a measurable deviation. Whether you’re modeling stock prices, optimizing supply chains, or designing ...

Tensor train decomposition is a powerful tool to tackle high-dimensional large-scale tensor data and is not suffering from the curse of dimensionality. It relies on performing the singular value ...