When pigeons outnumber pigeonholes, some birds must double up. This obvious statement — and its inverse — have deep ...

Randomness is essential to some research, but it’s always been prohibitively complicated to achieve. Now, we can use ...

Quantum algorithms can now compute knot identities more efficiently than classical methods, using less energy.

Researchers have identified the border between quantum physics and some as-yet-unknown post-quantum realm by mathematically ...

To achieve this, they employed clever constructions from quantum complexity theory and sophisticated mathematical tools for analyzing the effects of thermal perturbations on energy landscapes.

Quantum computing is coming. But the question remains: when does it stop being over the horizon and will it be useful?

A fresh take on perturbation theory allows quantum-mechanical interactions to be simplified, while preserving low-energy properties, and deepens understanding of the complexity of quantum systems.

A newly developed framework for quantifying uncertainties enhances the predictive power of analog quantum simulations.