Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can.

Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Previous data center networks are mostly built hierarchically in Clos or Fat-Tree architectures with Leaf/Spine or, for ...

We develop and engineer algorithms for fully dynamic graph problems-- efficiently maintaining solutions as edges and vertices are inserted and deleted. Developed at the Algorithm Engineering Group, ...

Abstract: An improved method for decomposition of random and deterministic jitter measurements using tail fitting of the probability density function of total jitter is proposed. The currently ...

Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...

Experts in quantum computing and cryptography insist ERNIE 5's light-powered wizardry delivers unassailable true randomness, banishing fears of manipulation in this beloved Bletchley Park legacy.

A tool for computing optimal paper-reviewer matches for peer review, subject to constraints and affinity scores. Comes with a simple web server designed for integration with the OpenReview server ...

Classical randomness plays a pivotal role in the design of quantum protocols and algorithms. In the near-term, randomized benchmarking 1 is central to calibrating and assessing the quality of quantum ...

Abstract: Algorithms and dynamics over networks often involve randomization and randomization can induce oscillating dynamics that fail to converge in a deterministic sense. Under assumptions of ...

Crunching hard grains together leads to their rigidification, irrespective of how the system is prepared. While certain features of the resulting jammed materials—e.g. their contact force distribution ...